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Writing & Structuring a Medical Paper: The Essential Framework for Scientific Communication

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Sun, 05 Oct 2025

Writing & Structuring a Medical Paper: The Essential Framework for Scientific Communication

Abstract This comprehensive guideline provides detailed and actionable instructions for writing and meticulously structuring high-quality medical research papers, primarily adhering to the universally recognized and widely adopted IMRAD (Introduction, Methods, Results, and Discussion) format. It systematically and meticulously details the overarching purpose, essential constituent elements, and recommended best practices for crafting each individual section of a scientific manuscript. Throughout this document, paramount emphasis is placed on achieving absolute clarity, unwavering precision, complete transparency in reporting, and strict, uncompromising adherence to established ethical guidelines in research and publication. Furthermore, this guideline offers strategic advice on optimizing preliminary elements crucial for a paper's initial impression and discoverability, such as the compelling title, informative abstract, and strategically chosen keywords. It also underscores the critical and often underestimated role of accurate and consistent referencing, alongside the judicious use of supplementary materials, in enhancing a paper's overall impact and facilitating its retrieval by the global scientific community. By diligently following this detailed, fresh, and highly informative framework, researchers at all career stages, particularly early-career scientists and those operating in diverse global contexts, are empowered to produce rigorous, reproducible, and impactful medical literature. Such well-crafted manuscripts not only effectively communicate their invaluable scientific contributions but also robustly withstand the rigorous scrutiny of the peer-review process, thereby contributing meaningfully and sustainably to the global advancement of healthcare knowledge and ultimately improving patient outcomes worldwide.

Keywords: Medical writing, research paper structure, IMRAD, scientific communication, peer review, academic publishing, medical research, methodology, results, discussion, APA format, ethical considerations, manuscript preparation, research integrity, data reporting.

1. Introduction: The Imperative of Structured Scientific Communication

In the dynamic, complex, and rapidly evolving landscape of modern medicine, the efficient and accurate dissemination of new knowledge is not merely beneficial; it is as critically important as the initial discovery itself. Medical research papers serve as the fundamental and indispensable currency of this scientific exchange, meticulously documenting novel findings, validating innovative methodologies, and offering critical insights that directly shape clinical practice, inform public health policy, and dictate future research trajectories globally. Without a standardized, meticulously structured, and universally understood approach to scientific communication, even the most groundbreaking and potentially life-saving discoveries risk remaining obscure, confined to the laboratory or clinic where they originated. Such obscurity inevitably leads to a failure to achieve their potential impact on patient care, to inform subsequent scientific inquiry, or to contribute to the collective advancement of human health. The ability to effectively write and structure a high-quality medical paper is, therefore, an indispensable and foundational skill for all researchers, clinicians, academics, and public health professionals across every discipline of healthcare.

The global scientific community has, through decades of iterative refinement and consensus, largely converged on a universally accepted framework for structuring research papers, primarily known by the acronym IMRAD: Introduction, Methods, Results, and Discussion. This structure is far more than a mere formatting convention or a bureaucratic dictate; it represents a deeply logical and intuitively progressive narrative designed to facilitate comprehensive understanding, ensure the crucial reproducibility of research findings, and enable rigorous critical evaluation of the study's validity and reliability. The IMRAD framework systematically guides readers through the essential components of a scientific investigation: first, the "why" (Introduction), establishing the rationale and context; second, the "how" (Methods), detailing the precise experimental design and execution; third, the "what" (Results), presenting the objective findings; and finally, the "so what" (Discussion), interpreting the implications and significance of the data. This structured progression allows for a systematic and highly efficient appraisal of a study's internal and external validity, its reliability, and its overall significance to the field (International Committee of Medical Journal Editors [ICMJE], 2023). Strict and consistent adherence to this established framework is paramount, as it significantly enhances clarity of communication, promotes unparalleled transparency in research conduct, and critically streamlines the peer-review process, which remains the indispensable cornerstone of scientific integrity, quality control, and credibility in academic publishing.

However, despite the apparent simplicity and logical flow inherent in the IMRAD structure, the nuanced task of crafting a high-quality medical paper that is simultaneously scientifically rigorous, ethically sound, and compellingly readable presents numerous and often formidable challenges for even experienced researchers. These challenges frequently include the complex and demanding art of distilling intricate experimental data and sophisticated statistical analyses into coherent, digestible, and accessible narratives without oversimplification. Furthermore, ensuring scrupulous adherence to ethical reporting practices, accurately navigating and presenting complex statistical analyses in an understandable manner, and articulating the broader implications of findings within the vast and rapidly expanding existing body of medical literature require considerable skill and attention to detail. For researchers operating in diverse global contexts, particularly those in low- and middle-income countries, understanding and consistently applying these often Western-centric international publishing standards can be exceptionally challenging. This difficulty may stem from varying academic traditions, significant language barriers (especially when English is not the native tongue), and often limited access to specialized training resources, professional editorial support, or advanced research infrastructure. These barriers can inadvertently impede the dissemination of valuable research from these regions, hindering global scientific progress.

This comprehensive guideline aims to provide detailed, fresh, and insightful instructions for writing and meticulously structuring a medical research paper that not only meets but exemplifies international publishing standards. It will systematically and meticulously detail the essential components of each section within the IMRAD framework, offering practical advice, highlighting common pitfalls to assiduously avoid, and outlining best practices for enhancing clarity, precision, and overall impact. Beyond the core IMRAD sections, this guideline will also explore the critical and often underestimated roles of preliminary elements such as the compelling title, the informative abstract, and strategically chosen keywords, as well as the importance of accurate and transparent management of references and supplementary materials. All these elements are vital for ensuring a paper's optimal discoverability in global databases, firmly establishing its credibility within the scientific community, and maximizing its intellectual contribution to the global medical discourse. By demystifying the art and science of medical writing and providing a clear, step-by-step roadmap, this review seeks to empower researchers worldwide to effectively communicate their invaluable contributions to the advancement of healthcare, ensuring their diligent work gains the recognition, influence, and impact it profoundly deserves.

2. The Essential Structure of a Medical Research Paper: The IMRAD Framework and Beyond

The IMRAD structure (Introduction, Methods, Results, and Discussion) forms the foundational backbone of most scientific and medical research papers, providing a logical, universally understood, and efficient narrative flow. This section will meticulously detail each component, offering precise instructions on their purpose, essential content, and recommended best practices for authors.

2.1. Preliminary Elements: Setting the Stage for Discoverability and First Impressions

Before embarking on the core IMRAD sections, several preliminary elements demand careful attention as they are crucial for a paper's initial discoverability, its immediate impression on readers and reviewers, and its accurate indexing in scientific databases. These elements are often the first, and sometimes only, parts of your paper that a busy reader will encounter, making their optimization paramount.

  1. Title: The title is unequivocally the paper's first impression and its most visible identifier in academic databases, search engine results, and citation lists. It must be meticulously crafted to be concise, highly informative, and an accurate reflection of the study's main topic, its primary objective, and, ideally, its most significant key findings. An effective title should strategically incorporate relevant keywords that facilitate electronic searching and indexing by researchers and automated systems, thereby maximizing the paper's discoverability. Authors should diligently avoid unnecessary jargon, ensure it is free of abbreviations unless they are universally recognized and unavoidable (e.g., DNA, HIV, MRI), and accurately convey the study's precise scope without being overly broad, vague, or misleading. For instance, instead of a generic "Study on Diabetes," which offers minimal information, a more effective and informative title would be "Effect of Metformin on Glycemic Control in Type 2 Diabetes Mellitus: A Randomized Controlled Trial." This revised title immediately conveys the intervention, the target population, the primary outcome measure, and the study design, providing critical information at a glance. The title must strike a delicate balance: it should be engaging enough to capture the attention of relevant readers, prompting them to delve further into the abstract and full text, while simultaneously being precise enough to convey the essence of the research accurately and succinctly. Consider the "active voice" where appropriate to make the title more impactful (e.g., "Metformin Improves Glycemic Control..." instead of "Effect of Metformin...").
  2. Authors and Affiliations: This section requires a precise and complete listing of all individuals who have made substantial intellectual contributions to the work. Authorship should strictly adhere to established ethical criteria, such as those set forth by the International Committee of Medical Journal Editors (ICMJE, 2023). The ICMJE criteria typically stipulate that an author must meet all four of the following conditions: (1) substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data for the work; (2) drafting the work or revising it critically for important intellectual content; (3) final approval of the version to be published; and (4) agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. Individuals who contribute to the work but do not meet all four criteria should be acknowledged in the Acknowledgments section, not listed as authors (e.g., technical support, general supervision, writing assistance). This distinction is crucial for preventing "ghost authorship" (where a significant contributor is omitted) and "gift authorship" (where someone who did not contribute substantially is listed). Alongside each author's full name, their primary institutional affiliations at the time the work was conducted must be clearly stated. The corresponding author, who will serve as the primary point of contact for communication with the journal, reviewers, and readers post-publication, must also be clearly designated with their complete contact details (e.g., email address). Transparency in authorship is paramount for maintaining academic integrity, ensuring proper credit for intellectual contributions, and establishing clear accountability for the research presented.
  3. Abstract: The abstract serves as a concise, standalone summary of the entire paper, typically constrained by strict word limits (e.g., 200-300 words, though some journals may allow up to 500 words). Given that it is often the first, and sometimes the only, part of a paper that many readers, including busy clinicians, fellow researchers, and peer reviewers, will initially access, its clarity, completeness, accuracy, and compelling nature are absolutely paramount. A well-structured abstract usually follows a mini-IMRAD format, providing a rapid yet comprehensive overview of the study's essence:
    • Background/Introduction: Briefly state the overarching research problem, the existing knowledge gap, or the clinical/scientific context that necessitated the study. This should be a single sentence or two, setting the stage without excessive detail. Example: "Despite advances in oncology, therapeutic options for metastatic pancreatic cancer remain limited, highlighting an urgent need for novel treatment strategies."
    • Objective/Purpose: Clearly and precisely state the specific aim(s) or hypothesis (hypotheses) that the study sought to address. This should directly follow from the background. Example: "This study aimed to evaluate the safety and preliminary efficacy of a novel immunotherapeutic agent, XYZ-123, in patients with unresectable metastatic pancreatic adenocarcinoma."
    • Methods: Concisely outline the study design (e.g., "a Phase 1, open-label, single-arm clinical trial"), the key characteristics of the participants (e.g., "25 adult patients with previously treated metastatic pancreatic cancer"), the main interventions or exposures investigated (e.g., "XYZ-123 administered intravenously every 3 weeks"), and the primary outcome measures (e.g., "primary endpoints were dose-limiting toxicities and objective response rate"). Avoid methodological minutiae.
    • Results: Summarize the most important and statistically significant findings, including key numerical data, effect sizes, and p-values where appropriate. This section should be purely factual. Example: "XYZ-123 demonstrated an acceptable safety profile, with Grade 3/4 adverse events occurring in 15% of patients. An objective response rate of 28% (7/25 patients) was observed, including one complete response."
    • Conclusion: State the main conclusion(s) derived directly and logically from the results, and briefly discuss their most important implications for clinical practice, future research, or broader scientific understanding. Example: "XYZ-123 shows promising preliminary efficacy and a manageable safety profile in metastatic pancreatic cancer, warranting further investigation in larger clinical trials." The abstract must be entirely self-contained, meaning it should be fully understandable without requiring the reader to refer to the main text. It should generally be free of citations (unless absolutely necessary for a very specific methodology or concept that cannot be explained otherwise). Finally, it should strategically incorporate relevant keywords to enhance its searchability in electronic databases, ensuring that researchers looking for specific topics can easily find your paper. Its overarching purpose is to enable readers to quickly grasp the essence of the study and make an informed decision about whether to invest time in reading the full paper.
  4. Keywords: A carefully curated list of 3-10 relevant terms or short phrases that precisely capture the essence of the paper's content. Keywords are vital for aiding in the indexing and retrieval of the paper by electronic search engines and bibliographic databases (e.g., PubMed, Scopus, Web of Science). Authors should select keywords diligently to be highly specific to their research, avoiding overly general terms that might lead to irrelevant search results. It is often beneficial to avoid terms that are already prominently featured in the title, as search engines typically index title words automatically. Wherever possible, authors should draw keywords from controlled vocabularies such as Medical Subject Headings (MeSH) provided by the National Library of Medicine (NLM). MeSH terms are standardized, hierarchical terms that ensure consistency in indexing and improve search precision. For example, instead of "heart attack," use "Myocardial Infarction (MeSH)." Effective keyword selection significantly increases the visibility, discoverability, and ultimately, the impact of the research by ensuring it reaches the most relevant audience.

2.2. The IMRAD Core: The Narrative of Research - A Detailed Blueprint for Rigor and Transparency

The IMRAD structure provides the universally accepted and logical flow for presenting research findings, systematically guiding the reader from the contextual background of the study to its precise execution, the objective presentation of its findings, and finally, a thoughtful and balanced interpretation of its significance. Each section builds upon the previous one, creating a coherent and comprehensive scientific narrative.

  1. Introduction: The Introduction section serves to meticulously set the stage for the research, providing all necessary background context and a compelling rationale for the study's undertaking. It typically follows a funnel-like structure, moving from broad, established background information to the specific, narrow focus of the current investigation, ultimately answering the fundamental question: "Why was this study done?"
    • Background: Begin by providing a concise, yet comprehensive, overview of the existing body of knowledge directly relevant to your research topic. What is already well-established in the scientific literature? What are the current prevailing theories, clinical practices, or unresolved controversies? Crucially, identify and clearly articulate the existing gaps in knowledge, persistent unanswered questions, or limitations of previous research that your study aims to address. This section should effectively establish the significance and urgency of the problem being investigated, highlighting its relevance to medical science, clinical practice, public health, or patient care. All factual statements, previously published findings, and assertions must be appropriately cited using the chosen citation style (e.g., APA 7th edition). For example, if discussing a new cancer therapy, you might start with the global burden of that cancer, then current treatment limitations, and then the specific molecular pathway your new therapy targets.
    • Rationale: Following the background, clearly articulate the logical justification for undertaking the current study. How does your research specifically aim to fill the identified knowledge gaps, resolve existing controversies, or address the limitations of previous studies? What unique contribution will your study make to the field that has not been adequately addressed by prior work? This section serves as a critical bridge, seamlessly connecting the broader background to the specific purpose of your investigation. It should convincingly argue why your particular research question is important and why your chosen approach is the most suitable to answer it. For instance, "While previous studies have shown promise with [existing drug], its high toxicity profile limits its clinical utility. Our novel compound, [new compound], targets the same pathway but with a potentially improved safety profile, thus warranting investigation."
    • Hypothesis/Objectives/Aim: Conclude the introduction by stating the specific research question(s) or hypothesis (hypotheses) that your study was designed to test. Clearly define the primary objective(s) and, if applicable, any secondary objectives or aims of the study. These statements must be precise, measurable, achievable, relevant, and time-bound (SMART). The primary objective should be the single most important question the study is designed to answer, and it should guide the sample size calculation. Secondary objectives explore additional outcomes or subgroups. For instance, "The primary objective of this randomized controlled trial was to evaluate if a 12-week intervention with [novel drug] leads to a significantly greater reduction in HbA1c levels compared to placebo in patients with newly diagnosed Type 2 Diabetes Mellitus. Secondary objectives included assessing changes in body weight, lipid profiles, and incidence of adverse events." Avoid vague statements like "This study will look at..." and instead use action verbs like "to determine," "to evaluate," "to compare," or "to assess."
    • Structure and Tone: The introduction should be engaging, logically structured, and supported by relevant, up-to-date, and balanced references. It should smoothly lead the reader from the general problem to the highly specific aims of your study, creating anticipation for the subsequent sections. Maintain a formal, objective, and scholarly tone throughout, avoiding colloquialisms or overly enthusiastic language.
  2. Methods: The Methods section is the rigorous blueprint of the study, meticulously detailing "How was the study done?" Its paramount purpose is to provide sufficient, unambiguous, and granular information to enable other independent researchers to precisely replicate the study, thereby verifying its findings and building upon them. Furthermore, it allows readers, including peer reviewers, to critically assess the validity, reliability, and generalizability of the findings. Precision, transparency, and completeness are absolute requirements for this section, ensuring that the study's conduct is fully auditable.
    • Study Design: Begin by explicitly stating the type of study design employed. This is critical as it dictates the strength of evidence generated (e.g., "This was a prospective, randomized, double-blind, placebo-controlled clinical trial" for intervention studies; "This was a retrospective cohort study" for examining associations; "This study utilized a cross-sectional survey design" for prevalence; "This was a systematic review and meta-analysis" for synthesizing existing evidence). Describe the study setting in detail (e.g., "conducted at a single tertiary academic medical center in [City, Country]," "across multiple community-based primary care clinics in a defined geographical region," "data extracted from national health registries and electronic medical records spanning [years]"). Specify the duration of the study or the period of data collection.
    • Participants/Patients: Provide a comprehensive description of the study population. This includes precise inclusion criteria (e.g., "adults aged 18-65 years, diagnosed with [specific condition], willing to provide informed consent") and exclusion criteria (e.g., "pregnant or lactating women, individuals with severe comorbidities, participation in other clinical trials"). Detail the methods used for participant recruitment (e.g., "consecutive sampling from outpatient clinics," "random sampling from a population registry," "referral from primary care physicians," "advertisements"). Crucially, provide a clear justification for the calculated sample size, including the statistical power analysis used to determine it (e.g., "A sample size of 150 participants per arm was calculated to detect a 15% difference in the primary outcome with 80% power and a two-sided alpha of 0.05"). Detail all ethical considerations: explicitly state that ethical approval was obtained from the relevant Institutional Review Board (IRB) or Ethics Committee (EC) at each participating institution, provide the approval number(s) if required by the journal, and describe the informed consent procedures (e.g., "Written informed consent was obtained from all participants prior to enrollment after a full explanation of the study procedures and potential risks. For minors, assent was obtained in addition to parental consent").
    • Interventions/Exposures: If your study involved interventions (e.g., drug administration, surgical procedures, educational programs, behavioral therapies, diagnostic tests) or investigated specific exposures (e.g., environmental toxins, dietary patterns, lifestyle factors), detail them with sufficient granularity to allow for exact replication. For drug interventions, specify the drug name (generic and brand if relevant), dosages, frequency, mode of administration (e.g., oral, intravenous), and duration. For surgical procedures, describe the key steps involved. For educational programs, outline the content, delivery method, and duration. If a standard procedure, instrument, or validated questionnaire was used, cite the original reference; if any modifications were made, describe these modifications precisely and justify them. For example, "Participants in the intervention group received [Drug X] at a dose of 10 mg orally once daily for 12 weeks, while the control group received an identical-looking placebo."
    • Data Collection: Describe all data collection procedures and instruments used with meticulous detail. This includes, but is not limited to, questionnaires (mentioning if they were previously validated, and citing their source), laboratory tests (specifying specific assays, manufacturers, equipment models, and normal reference ranges), imaging techniques (e.g., MRI sequence parameters, CT scan protocols, ultrasound settings), physical examinations (e.g., specific measurements taken, scales used), and clinical assessments. Specify the qualifications and blinding status of the personnel involved in data collection. Detail the measures taken to ensure data quality, such as blinding of assessors to group allocation, standardization of procedures across sites or personnel, regular calibration of equipment, and inter-rater reliability checks for subjective assessments. Describe how data were recorded (e.g., electronic data capture systems, standardized paper forms) and how they were stored securely to maintain patient confidentiality.
    • Outcome Measures: Clearly and precisely define all primary and secondary outcome measures. The primary outcome is the main variable used to answer the study's primary objective and for sample size calculation. Secondary outcomes are additional variables of interest. For each outcome, explain how it was measured (e.g., "tumor size was measured by bidimensional CT scan according to RECIST criteria 1.1," "pain intensity was assessed using a 10-point Visual Analog Scale [VAS] ranging from 0 'no pain' to 10 'worst possible pain'"), and specify the units of measurement. If composite outcomes were used, clearly define all their components. For example, "The primary outcome was disease-free survival, defined as the time from randomization to recurrence or death from any cause."
    • Statistical Analysis: This section is critical for assessing the validity of your findings and must be robust enough for a statistician to understand and potentially replicate the analysis. Detail all statistical methods used to analyze the data. Specify the statistical software package used (including version number, e.g., "Statistical Package for the Social Sciences [SPSS] Statistics, Version 28.0; IBM Corp., Armonk, NY"). Clearly state the chosen level of statistical significance (alpha level, typically p\<.05 for two-sided tests). Describe how missing data were handled (e.g., complete case analysis, multiple imputation methods, last observation carried forward) and justify the chosen approach. Detail any specific statistical tests used (e.g., independent samples t-tests for comparing means, chi-square tests for categorical data, ANOVA for multiple group comparisons, linear or logistic regression analyses for associations, survival analysis using Kaplan-Meier curves and Cox proportional hazards models) and provide the rationale for their selection. If subgroup analyses or sensitivity analyses were performed, describe these and their rationale. For complex or novel analyses, consider referencing specialized statistical textbooks or software manuals.
  3. Results: The Results section is dedicated to the factual, objective, and unbiased presentation of the study's findings, directly addressing the question "What were the findings?" It is crucial that this section remains entirely devoid of interpretation, discussion, or comparison with other studies, as these elements are exclusively reserved for the Discussion section. The text should summarize the key findings concisely, while tables and figures should provide the detailed quantitative and qualitative data.
    • Descriptive Statistics: Begin by presenting the baseline characteristics of the study population. This typically includes demographics (e.g., age, sex, ethnicity, socioeconomic status), relevant clinical characteristics (e.g., disease severity, comorbidities, duration of illness, previous treatments), and any other pertinent descriptive statistics for the main variables. These are often presented in a comprehensive "Table 1," which provides an immediate overview of the study sample and allows readers to assess generalizability and potential imbalances between groups in comparative studies. Report means and standard deviations for normally distributed continuous data, medians and interquartile ranges for skewed data, and frequencies and percentages for categorical data.
    • Primary and Secondary Outcomes: Systematically present the findings related to the primary outcome(s) first, as these are central to answering your main research question. Follow this with the presentation of results for secondary outcomes. For each outcome, clearly state the results of the statistical tests performed, including precise numerical values, exact p-values (e.g., p=.023 rather than just p\<.05), confidence intervals (e.g., 95% CIs for means, differences, odds ratios, relative risks), and effect sizes (e.g., Cohen's d, odds ratios, relative risks, regression coefficients) where appropriate. Ensure consistency in reporting statistical metrics throughout the section. For example, "The mean reduction in tumor size in the intervention group was 2.5pm0.8 cm (95% CI [1.9, 3.1]), which was significantly greater than the control group's mean reduction of 0.5pm0.3 cm (95% CI [0.3, 0.7]), (mean difference = 2.0 cm, p\<.001)."
    • Tables and Figures: Utilize tables to present precise numerical data efficiently, such as detailed demographic characteristics, comprehensive outcome measures across different groups or time points, or complex statistical outputs (e.g., regression coefficients). Use figures (e.g., bar charts, line graphs illustrating trends over time, scatter plots showing relationships between variables, flowcharts depicting study design or patient flow, images from microscopy or radiology) to visually illustrate trends, relationships, distributions, or complex data patterns, making them more accessible and impactful than text alone. Each table and figure must be entirely self-explanatory, accompanied by a clear, descriptive title or legend that allows it to be understood independently of the main text. Ensure absolute consistency between the data presented in the text, tables, and figures, and avoid redundancy (i.e., do not present the exact same data in both a table and a figure unless there is a specific, justified reason, such as highlighting a particular trend from a large table). Figures should be high-resolution and clearly labeled.
    • Avoid Interpretation: It is a critical and non-negotiable rule for the Results section to strictly avoid discussing the implications of the results, speculating on their meaning, providing explanations for the findings, or comparing them to findings from other studies. These interpretive and comparative elements belong exclusively in the Discussion section. The Results section is purely for presenting "what was found" in an objective and factual manner.
  4. Discussion: The Discussion section is arguably the most challenging yet profoundly crucial part of a medical paper, as it is where the authors transition from presenting facts to interpreting the "So what?" of the study. It serves to contextualize the findings, explain their significance, and rigorously relate them to the existing body of scientific literature. This section demands critical thinking, balanced interpretation, a nuanced understanding of the field, and the ability to synthesize information effectively.
    • Summary of Key Findings: Begin by briefly and concisely reiterating the most important and relevant results, particularly those directly related to the primary objective(s) of the study. This should be a high-level synthesis, not a mere repetition or re-listing of the data presented in the Results section. The aim is to remind the reader of the core message or the main answer to your research question before delving into deeper interpretation. For example, "Our study demonstrated that [Intervention X] significantly reduced the incidence of [Outcome Y] in [Population Z], confirming our primary hypothesis."
    • Interpretation and Comparison: This forms the core and intellectual heart of the Discussion. Discuss what the results truly mean in the broader scientific and clinical context. How do your findings directly answer the research question(s) posed in the Introduction? Provide a thoughtful and evidence-based interpretation of the findings, explaining their significance and implications. Critically compare and contrast your findings with those from previous research studies. Do your results support, contradict, or extend existing theories, hypotheses, or clinical guidelines? If there are discrepancies with prior literature, offer plausible and well-reasoned explanations for them (e.g., differences in methodology, study population characteristics, sample size, duration of follow-up, statistical approaches, or specific environmental factors). Avoid overstating the implications of your findings or making claims not directly supported by your data.
    • Strengths of the Study: Objectively highlight the methodological strengths of your study. This might include a robust study design (e.g., strong randomization, effective blinding, large and representative sample size, prospective data collection), a novel or highly precise methodology (e.g., use of advanced diagnostic tools, validated outcome measures), rigorous data collection procedures, or sophisticated statistical analysis. Clearly explaining these strengths enhances the credibility, internal validity, and external validity (generalizability) of your findings. For example, "A key strength of this study is its double-blind, placebo-controlled design, which minimized bias, coupled with a large, multi-center cohort ensuring generalizability."
    • Limitations of the Study: It is imperative to acknowledge the limitations of your study honestly, transparently, and with scientific humility. No study is perfect, and acknowledging limitations demonstrates scientific rigor, a balanced perspective, and an understanding of the boundaries of your conclusions. Discuss how these limitations might potentially affect the interpretation or generalizability of your results. For example, limitations might include sample size constraints (leading to limited statistical power for secondary outcomes), potential biases (e.g., selection bias, recall bias in retrospective studies), reliance on self-report data, specific population characteristics that limit generalizability to other groups, or the duration of follow-up being insufficient to capture long-term outcomes. Crucially, for each identified limitation, briefly suggest how it might be addressed or mitigated in future research, demonstrating foresight and a constructive approach.
    • Clinical and Research Implications: Discuss the practical, real-world implications of your findings. How might these results influence or change current clinical practice, inform public health strategies, or guide healthcare policy decisions? What are the broader implications for the field of medical science or for patient care? This section should clearly articulate the translational potential of your research, bridging the gap between scientific discovery and its application. For example, "These findings suggest that routine screening for [Condition X] could lead to earlier diagnosis and improved patient outcomes, warranting consideration for inclusion in clinical guidelines."
    • Future Research: Based on your current findings and identified limitations, suggest specific, actionable, and logical directions for future research. What are the next logical steps in this line of inquiry? What new questions have emerged from your study that warrant further investigation? This demonstrates foresight, intellectual curiosity, and contributes to the ongoing scientific dialogue, guiding future studies in the field. For example, "Future research should focus on validating these findings in a more diverse patient population and exploring the long-term cost-effectiveness of this intervention."
  5. Conclusion: The Conclusion is a brief, standalone summary that effectively reinforces the main message and core contribution of the paper. It should concisely restate the most important findings and their most significant implications, providing a definitive and clear answer to the research question(s) posed in the Introduction. It must not introduce any new information, arguments, data, or references. The conclusion serves as the final impactful statement, leaving the reader with a clear and memorable understanding of the study's core contribution and its relevance. It should be succinct and powerful.

2.3. Supplementary Elements: Completing the Picture for Transparency and Reproducibility

Beyond the IMRAD core, several other sections are crucial for ensuring the completeness of the manuscript, promoting transparency in research conduct, adhering to ethical reporting standards, and facilitating the discoverability, verifiability, and reproducibility of the research. These elements are increasingly important in an era emphasizing open science and data sharing.

  1. Acknowledgments: This section is used to formally acknowledge individuals, groups, or organizations who provided significant assistance or support to the research but do not meet the strict ICMJE criteria for authorship. This may include, but is not limited to: technical assistance (e.g., laboratory technicians, data entry staff, statistical consultants who did not meet authorship criteria), administrative support, provision of reagents or equipment, or general supervision. It is also the appropriate place to acknowledge specific funding bodies, grants, or scholarships that financially supported the research or the authors. For example, "The authors thank Dr. Jane Doe for her invaluable statistical advice and Ms. Sarah Smith for her diligent assistance with data collection. This work was supported by Grant No. XXXX from the National Institutes of Health."
  2. Conflicts of Interest: Authors are ethically and often institutionally/journal-mandated to declare any financial, personal, or professional relationships that could potentially be perceived as influencing the research, its interpretation, or the authors' objectivity. This includes, but is not limited to: direct employment by a company whose product is being studied, stock ownership in a relevant company, consulting fees, speaking honoraria, patent ownership, or receiving research grants from industry. Transparency regarding all potential conflicts of interest, even if perceived rather than actual, is paramount for maintaining scientific integrity and public trust in research findings. If no conflicts exist, authors should explicitly state, "The authors declare no conflicts of interest related to this work." Journals often have specific forms for conflict of interest disclosure.
  3. Funding: This section explicitly discloses all sources of financial support for the research. This includes grants from government agencies, non-profit organizations, foundations, or industry. It is important to list the full name of the funding organization(s) and any associated grant numbers or identifiers. This provides crucial transparency regarding potential external influences on the study design, conduct, or reporting. If the research received no specific external funding, this should also be stated (e.g., "This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.").
  4. References: This section is a comprehensive list of all sources cited within the body of the paper. It is imperative that all references are accurately and completely listed, and that they are formatted consistently according to a specific citation style mandated by the target journal (e.g., APA 7th edition, Vancouver, AMA, Chicago). Accurate and complete referencing is absolutely essential for several reasons: it gives proper credit to previous researchers and their intellectual work, it allows readers to easily locate and verify original sources for further reading or critical appraisal, and it is a fundamental safeguard against plagiarism. Authors should diligently use reference management software (e.g., Zotero, Mendeley, EndNote) to ensure accuracy, consistency, and efficient management of citations throughout the writing process. Each in-text citation must have a corresponding entry in the reference list, and vice versa.
  5. Appendices/Supplementary Materials: This section includes additional information that is too detailed, extensive, or tangential to be included in the main text but is nevertheless necessary for the full understanding, verifiability, or reproducibility of the study. These materials are increasingly published online alongside the main article, often referred to as "Supplemental Digital Content." Examples include:
    • Detailed questionnaires, survey instruments, or interview guides.
    • Extensive raw data tables or anonymized datasets.
    • Complex statistical code or detailed statistical outputs (e.g., full regression tables, sensitivity analyses).
    • Detailed protocols for laboratory procedures, surgical interventions, or behavioral therapies, allowing for precise replication.
    • Copies of informed consent forms or ethical approval documents (appropriately redacted for privacy).
    • Detailed participant flow diagrams (e.g., CONSORT diagrams for randomized controlled trials, PRISMA flow diagrams for systematic reviews) that illustrate participant recruitment, allocation, and follow-up.
    • Supplementary figures or tables that provide additional context, illustrative examples, or granular data but are not central to the main narrative flow of the Results section. Including supplementary materials significantly enhances the transparency and reproducibility of the research, allowing other scientists to scrutinize the methods and data more thoroughly, thereby increasing the overall credibility and utility of the published work.

3. Discussion: Crafting Clarity and Impact in Medical Writing

The meticulous structuring of a medical paper, rigorously guided by the IMRAD framework, transcends mere adherence to a template; it is a strategic and intellectual imperative for achieving effective and impactful scientific communication. This section delves into the broader, yet equally critical, aspects of medical writing, encompassing common challenges faced by researchers, recommended best practices for achieving unparalleled clarity and maximal impact, and the crucial, symbiotic role of the structured format within the rigorous peer-review process.

3.1. Navigating Challenges in Medical Writing and Upholding Ethical Standards

Despite the existence of clear structural and reporting guidelines, medical writing presents several inherent and often formidable challenges that researchers must skillfully navigate to produce high-quality, publishable work that contributes meaningfully to the scientific discourse. Simultaneously, an unwavering and uncompromising commitment to ethical principles in research and publication is non-negotiable.

  1. Achieving Clarity and Conciseness: Medical research frequently involves highly complex scientific concepts, intricate experimental or clinical methodologies, and vast, dense datasets. A significant and pervasive challenge lies in the ability to present this multifaceted information with absolute clarity and compelling conciseness, without resorting to oversimplification or losing essential detail. This demands a conscious and deliberate effort to avoid gratuitous jargon where simpler, universally understood language suffices, and to ensure that the narrative flows logically, coherently, and without any ambiguity. Overly verbose, convoluted, grammatically imprecise, or excessively academic sentences can effectively obscure important findings, frustrate readers (including busy clinicians and reviewers), and ultimately deter engagement with the research. The overarching goal is to communicate complex scientific information as effectively and efficiently as possible, prioritizing precise understanding over an attempt to impress with an overly academic or obscure vocabulary. This often necessitates multiple rounds of self-editing, peer review, and potentially professional editing. For example, instead of "The patient manifested an acute febrile episode concomitant with the onset of cephalalgia," write "The patient developed a fever and headache."
  2. Ensuring Precision and Accuracy: Every single statement, every numerical value, and every interpretation within a medical paper must be meticulously precise and demonstrably accurate. This stringent requirement applies universally to quantitative and qualitative data, the interpretation of statistical analyses, the detailed descriptions of methodologies, and the accurate representation of existing literature through citations. Imprecision, even subtle (e.g., using "significant" colloquially instead of statistically), or inaccuracies, whether minor typographical mistakes or significant miscalculations in data analysis, can lead to fundamental misinterpretation of results, the drawing of flawed conclusions, and a severe undermining of the research's credibility. In the context of medical research, such errors can have profound and potentially dangerous consequences when findings are translated into clinical application, public health policy, or used to guide further research. Authors must meticulously verify all facts, figures, and citations against their original sources.
  3. Robust Statistical Reporting: A common and critical pitfall in medical writing is the incorrect, insufficient, or misleading reporting of statistical analyses. Researchers must possess a profound and current understanding of the appropriate statistical tests for their specific data types, study designs, and research questions. They must correctly interpret and transparently report key statistical metrics, including exact p-values (e.g., p=.015 instead of p\<.05), confidence intervals (e.g., 95% CIs for means, differences, odds ratios, relative risks), and effect sizes (e.g., Cohen's d, correlation coefficients, odds ratios, relative risks, regression coefficients). Simply stating "statistically significant" without providing the specific p-value or effect size is insufficient. The misuse or misinterpretation of statistics, whether intentional or unintentional, can lead to the propagation of false conclusions, the overstatement of findings, or the masking of important nuances and limitations. Adherence to specific reporting guidelines for different study types, such as CONSORT (for randomized controlled trials), STROBE (for observational studies), or PRISMA (for systematic reviews and meta-analyses), is crucial for comprehensive and transparent statistical reporting. Consulting with a biostatistician early in the research design and analysis phases is highly recommended.
  4. Upholding Ethical Reporting and Mitigating Bias: Medical writing is fundamentally underpinned by a stringent set of ethical principles that ensure integrity, honesty, and accountability in the scientific process. Breaches of these principles are considered severe academic and scientific misconduct, undermining the trustworthiness of the entire research enterprise:
    • Plagiarism: Presenting someone else's words, ideas, data, or intellectual property as one's own, without proper and explicit attribution, constitutes plagiarism. This is a severe academic and scientific misconduct. Proper citation, paraphrasing, and meticulous attribution of all sources are non-negotiable requirements. Use plagiarism detection software to self-check before submission.
    • Fabrication and Falsification: Inventing data, results, or entire studies (fabrication), or manipulating research materials, equipment, processes, or altering/omitting data or results such that the research record is not accurately represented (falsification), are egregious and unforgivable violations of scientific integrity. These actions lead to retraction of papers and severe professional consequences.
    • Selective Reporting: The deliberate omission of inconvenient data, the selective reporting of only positive or statistically significant results, or the post-hoc redefinition of outcomes to fit a desired narrative can severely bias the scientific literature and mislead future research, clinical practice, or policy decisions. All relevant findings, including negative or null results, should be reported transparently, as they contribute valuable information to the scientific community and prevent publication bias.
    • Authorship Disputes: Disputes over authorship are common and often arise from unclear criteria for who qualifies as an author and what constitutes a substantial contribution. Strict adherence to established guidelines, such as those provided by the ICMJE, which define the four criteria for authorship, helps prevent such conflicts and ensures fair recognition for intellectual contributions. Discuss authorship early and openly within the research team.
    • Conflict of Interest: Failure to declare any financial, personal, or professional relationships that could potentially be perceived as influencing the research, its interpretation, or the authors' objectivity is a serious ethical lapse. This includes relationships with pharmaceutical companies, medical device manufacturers, or any other entity with a vested interest in the outcome of the research (e.g., direct employment, stock ownership, consulting fees, speaking honoraria, patent ownership, research grants from industry). Transparency in declaring all potential conflicts of interest, even if perceived rather than actual, is paramount for maintaining scientific integrity and public trust. Journals typically require specific disclosure forms.
    • Patient Confidentiality and Privacy: Ensuring that all patient data is meticulously anonymized, de-identified, and protected from unauthorized access or disclosure is a fundamental ethical and legal requirement (e.g., HIPAA in the US, GDPR in Europe, and specific data protection laws in various African countries). Researchers must adhere to all applicable privacy regulations, obtain appropriate informed consent for data use and publication, and ensure that no identifiable patient information is inadvertently revealed.
  5. Overcoming Language Barriers: For researchers whose native language is not English, writing a medical paper in English (which serves as the lingua franca of global medical science) can present a significant and often underestimated hurdle. This challenge extends beyond mere grammatical correctness to encompass nuances of scientific tone, idiomatic expressions, clarity of expression, logical flow, and the overall impact of the paper. Poor English can lead to misinterpretation of findings or even rejection by journals. Engaging professional medical editing services, particularly those specializing in English as a second language (ESL) and scientific writing, can be invaluable in overcoming this barrier, ensuring that the scientific message is conveyed accurately, precisely, and effectively without linguistic impediments. Furthermore, seeking feedback from native English-speaking colleagues or mentors can provide crucial insights into improving readability and flow.

3.2. Best Practices for Enhancing Clarity, Impact, and Reproducibility

Beyond strict adherence to the IMRAD structure and ethical guidelines, several strategic best practices can significantly elevate the overall quality, readability, and impact of a medical paper, thereby increasing its chances of successful publication and broader influence within the scientific community. These practices focus on optimizing the writing process and the presentation of information.

  1. Begin with a Detailed Outline: Before commencing the actual writing process, it is highly recommended to create a comprehensive and detailed outline for each section of the paper. This outline should include the key arguments to be made, the specific data points or findings to be presented, the logical flow of ideas, and the precise placement of supporting evidence or citations. A well-structured outline ensures logical coherence throughout the manuscript, prevents omissions of critical information, and provides a clear roadmap for the writing process, making it significantly more efficient and less daunting. This pre-writing step can save substantial time in later revisions.
  2. Write for Your Target Audience: While medical papers are inherently intended for a scientific audience, authors should strive for a level of clarity that can be understood by a broad range of readers within the medical and scientific community, not exclusively highly specialized experts in their narrow niche. Avoid overly technical jargon when simpler, widely understood terms suffice. When technical terms are unavoidable, ensure they are clearly defined upon first use. Explain complex concepts clearly and concisely. The overarching goal is to maximize accessibility and comprehension without sacrificing scientific rigor or precision. Consider that a general practitioner might read your paper, not just a sub-specialist.
  3. Prioritize Active Voice: As a general rule, employing active voice makes sentences more direct, clear, and concise, enhancing readability and impact. For example, prefer "The researchers observed a significant decrease in symptoms" over "A significant decrease in symptoms was observed by the researchers." While passive voice has its legitimate place in scientific writing (e.g., when the action is more important than the actor, or to maintain objectivity in methods sections like "The samples were incubated at 37°C"), its overuse can lead to convoluted, impersonal, and less engaging prose. Strive for a balance that prioritizes clarity.
  4. Maintain Specificity and Objectivity: Use precise and unambiguous language throughout the entire manuscript. Avoid vague statements, subjective interpretations, or rhetorical flourishes, particularly in the Methods and Results sections, where factual and objective reporting is paramount. Let the data speak for itself, presenting findings dispassionately before interpreting them in the Discussion section. Quantify observations whenever possible (e.g., "75% of patients" instead of "most patients"). Every claim should be supported by evidence or a clear citation.
  5. Optimize Visual Aids (Tables and Figures): Tables and figures are powerful and indispensable tools for conveying complex information efficiently and effectively. They should be meticulously designed to be clear, visually appealing, and entirely self-explanatory. Each table and figure must be accompanied by a clear, descriptive title or legend that allows it to be understood independently of the main text. Ensure absolute consistency between the data presented in the text, tables, and figures, and avoid redundancy (i.e., do not present the exact same data in both a table and a figure unless there is a specific, justified reason, such as highlighting a particular trend from a large table in a graph). High-quality visuals enhance comprehension, engage the reader, and can significantly increase the paper's impact. Pay attention to appropriate labeling, units, and statistical annotations within the visuals.
  6. Embrace Iterative Writing and Rigorous Revision: Writing a high-quality medical paper is rarely a linear process; it is an inherently iterative cycle of drafting, critically revising, and continually refining. Authors should allocate ample time for multiple rounds of review, not only by all co-authors but also by external colleagues, mentors, or professional editors. A fresh pair of eyes can often spot grammatical errors, logical inconsistencies, areas of confusion, or opportunities for improvement that the original authors, deeply immersed in their work, might overlook. Be receptive to constructive criticism and view it as an invaluable opportunity to enhance the manuscript's quality and rigor. This iterative process is key to polishing the final product.
  7. Strictly Adhere to Journal-Specific Guidelines: Before even beginning to write, it is absolutely essential to thoroughly read, understand, and strictly adhere to the specific author guidelines provided by the target journal. These guidelines dictate crucial aspects such as overall formatting (e.g., font, spacing, margins, heading levels), word counts for each section, specific reference styles (e.g., APA 7th edition, Vancouver, AMA), requirements for figure and table submission (e.g., resolution, file types), and specific content requirements (e.g., mandatory reporting checklists like CONSORT for randomized trials, STROBE for observational studies, or PRISMA for systematic reviews). Non-adherence to these guidelines is a common reason for "desk rejection" (rejection before peer review), significantly delaying the publication process and wasting valuable time.
  8. Proactively Seek and Incorporate Feedback: Actively solicit feedback on drafts from all co-authors, as well as from mentors, senior colleagues, and potentially even peers who are not directly involved in the research but can offer a fresh, unbiased perspective. Be open to constructive criticism and view it as an invaluable opportunity to strengthen the paper. Incorporating diverse perspectives can help identify weaknesses in arguments, clarify ambiguities in language, improve the overall scientific rigor, and enhance the readability of the manuscript. This collaborative approach is a hallmark of good scientific practice.

3.3. The Indispensable Role of the Structured Format in Peer Review

The structured IMRAD format plays an absolutely vital and symbiotic role in the peer-review process, which serves as the indispensable cornerstone of quality control, validation, and credibility in scientific publishing. Reviewers, who are often busy experts in their respective fields, rely heavily on this consistent and predictable structure to efficiently and effectively assess the paper's scientific merit, methodological rigor, and overall contribution. A well-structured paper allows reviewers to quickly and systematically evaluate key aspects, streamlining their work and leading to more insightful feedback:

  • Rationale (Introduction): Reviewers can readily and quickly determine if the research question is clearly articulated, scientifically justified, and relevant to the current state of knowledge in the field. They assess whether the introduction effectively establishes the knowledge gap that the study aims to fill and convincingly argues for the study's necessity. A poorly defined problem statement or an unclear rationale can lead to immediate concerns.
  • Methodological Rigor (Methods): The detailed and transparent nature of the Methods section is crucial for reviewers to critically assess the appropriateness of the study design for the research question. They scrutinize whether the methods are described in sufficient detail to ensure reproducibility by other researchers. Reviewers also look for potential sources of bias (e.g., selection bias, measurement bias), flaws in participant recruitment or randomization, and the adequacy of data collection procedures. Any ambiguity here raises serious questions about the validity of the results.
  • Data Integrity and Presentation (Results): Reviewers can efficiently verify if the results are presented clearly, objectively, and without premature interpretation. They meticulously scrutinize the statistical analyses for appropriateness, accuracy, and completeness (e.g., correct reporting of p-values, confidence intervals, effect sizes). They also check for consistency between the text, tables, and figures, and ensure that all presented data are relevant to the stated objectives.
  • Interpretation and Significance (Discussion): This section allows reviewers to evaluate whether the conclusions drawn are logically supported by the presented data and are not overgeneralized. They assess how the findings integrate with and contribute to the existing body of literature, looking for balanced comparisons and plausible explanations for any discrepancies. Crucially, reviewers check whether the study's strengths and, equally important, its limitations are adequately acknowledged, discussed, and their potential impact on the findings considered. They also evaluate the clinical and research implications for their realism and significance.
  • Ethical Compliance: Reviewers quickly ascertain if all ethical considerations (e.g., IRB/EC approval, proper informed consent procedures, conflict of interest declarations, data privacy measures) are clearly stated and appear to have been adhered to. Any ethical red flags can lead to immediate rejection.

A rigorously structured paper significantly facilitates a more efficient, thorough, and ultimately effective peer-review process. This, in turn, leads to more constructive and actionable feedback for authors, more timely revisions, and ultimately, the publication of higher-quality, more credible, and impactful scientific articles. Conversely, a poorly structured, disorganized, or incomplete paper can frustrate reviewers, leading to prolonged delays in the review process, requests for multiple extensive and often frustrating revisions, or even outright rejection, irrespective of the intrinsic quality or significance of the underlying research. The IMRAD structure thus serves as a shared, universal language between authors and reviewers, ensuring that scientific discourse remains clear, transparent, and robust, thereby upholding the integrity of the scientific record.

4. Conclusion

The ability to effectively write and structure a medical research paper is not merely an academic exercise or a publishing formality, but an indispensable, fundamental skill for anyone engaged in the advancement of medical science. The universally recognized IMRAD framework (Introduction, Methods, Results, and Discussion), meticulously complemented by essential preliminary elements such as a compelling title, informative abstract, and strategically chosen keywords, alongside crucial supplementary sections (acknowledgments, conflicts of interest, funding, comprehensive references, and detailed appendices), provides a logical, systematic, and robust blueprint for compelling scientific communication. This standardized structure transcends a simple formatting requirement; it is a powerful and essential tool that inherently enhances clarity of message, promotes unparalleled transparency in research conduct, ensures the crucial reproducibility of findings by others, and facilitates the rigorous critical evaluation of scientific contributions by the broader community.

By diligently and meticulously crafting each section – from developing a precise and informative title and a concise, standalone abstract that encapsulates the study's essence, to detailing a rigorous and reproducible methods section that allows for replication, presenting results objectively and precisely, and engaging in a thoughtful, balanced, and contextualized discussion that interprets findings within the existing literature – researchers can significantly amplify the potential impact and influence of their work. Successfully navigating the inherent challenges of achieving absolute clarity, maintaining unwavering precision, upholding stringent ethical reporting standards, and performing accurate statistical analysis is crucial for credibility. Furthermore, consistent adherence to established best practices, including embracing an iterative writing and revision process, proactively seeking and incorporating constructive feedback from peers and mentors, and strictly complying with the specific guidelines of target journals, is paramount for achieving successful publication and wider dissemination.

Ultimately, a well-structured and meticulously written medical paper serves as a tangible testament to the intellectual rigor, scientific integrity, and ethical conduct of the research itself. It empowers novel findings to transcend the confines of the laboratory or the individual clinic, enabling them to effectively inform evidence-based clinical practice, shape impactful public health policy, and inspire the next generation of scientific inquiry. In an era characterized by an overwhelming deluge of information and a growing demand for research transparency, the clarity, integrity, and accessibility afforded by a standardized, well-executed research paper structure are more vital than ever. This unwavering adherence ensures that valuable medical knowledge effectively reaches its intended global audience, contributes meaningfully to the collective endeavor of improving human health, and stands as a lasting, verifiable, and impactful contribution to the scientific record.

References

International Committee of Medical Journal Editors. (2023). Recommendations for the Conduct, Reporting, Editing, and Publication of Scholarly Work in Medical Journals (ICMJE Recommendations). Retrieved from http://www.icmje.org/recommendations/

Note: This guideline synthesizes widely accepted best practices in medical writing and publishing, with primary reference to the ICMJE Recommendations, a foundational standard in the field. For specific nuances of citation and formatting, authors should always consult the most current edition of the APA Publication Manual (American Psychological Association, 2020) and the specific guidelines of their target journal.

Additional Recommended Resources for APA Style and Medical Writing:

American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). American Psychological Association.

Council of Science Editors. (2007). Scientific style and format: The CSE manual for authors, editors, and publishers (7th ed.). University of Chicago Press.

Lang, T. A., & Secic, M. (2006). How to report statistics in medicine: Annotated guidelines for authors, editors, and reviewers (2nd ed.). American College of Physicians.

National Library of Medicine. (n.d.). Medical Subject Headings (MeSH) Fact Sheet. Retrieved from https://www.nlm.nih.gov/pubs/factsheets/mesh.html

Shamoo, A. E., & Resnik, D. B. (2015). Responsible conduct of research (3rd ed.). Oxford University Press.

 

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