Writing Guide

How to Write the Introduction of a Medical Manuscript: What Editors Look For in 2026

The introduction is the shortest major section of most clinical papers and often the last one authors write. It is also the first section a desk editor reads when deciding whether to send the manuscript for review. Getting it right means understanding what it has to do, not just what it traditionally contains.

MZ
Dr. Meng Zhao|Physician-Scientist · Founder, LabCat AI
Published: July 202615 min readWriting Guide

Most authors write the introduction last. A month of thinking, reading, and revising compresses itself into a section that assumes the reader already knows why the study mattered. The result is an introduction that opens with a paragraph on the global burden of disease, runs through three pages of background that belongs in a review article, and ends with a single sentence gesturing at a "need for further research" without saying what that research should look like, why it had not been done before, or what this particular study did to address it.

That pattern is expensive. Desk editors at the New England Journal of Medicine, The Lancet, and JAMA make rejection decisions before peer review begins, working from the abstract and the opening section of the manuscript. Desk rejection rates at those three journals are estimated to run between 50 and 90 percent of incoming submissions, with NEJM sitting at the higher end of that range. The introduction is not the only thing an editor reads during triage, but it is where they first form a judgment about whether the study was necessary, whether the authors understand the field, and whether the manuscript fits the journal's scope and standards.

The situation has become more demanding in 2026 because of the volume problem. Submissions across journals on the ScholarOne platform rose by roughly 33 percent in the first quarter of 2026 compared with the same period in 2025, with AI-assisted writing widely cited as the driver. Editors are moving through more manuscripts under the same time constraints, which means weaker introductions get dismissed faster. At the same time, AI-generated introductions have a recognizable shape, and experienced editors have grown better at spotting them. A generic, textbook-framed opening that could describe a hundred different studies is now a signal, not just a disappointment.

Working Principle

The introduction does not summarize what is known about a topic. It builds the logical case that this specific study, done in this specific way, at this particular moment, was a reasonable thing to do. Every paragraph should serve that case.

What the Introduction Actually Has to Do

The International Committee of Medical Journal Editors recommends that the introduction state the purpose of the article and summarize the rationale for the study or observation, using only pertinent references and excluding data or conclusions from the work itself. That is a deliberately spare description. It says nothing about length, structure, or how much background to provide, because those decisions depend on the journal, the study design, and the audience. What the ICMJE guidance does is establish the function: the introduction justifies the study.

That function is narrower than most authors assume. The introduction is not a literature review. It does not need to survey every relevant study on the topic, trace the historical arc of the field, or define every term a general reader might not know. A clinical journal's audience is made up of clinicians and researchers who already have baseline familiarity with the disease, the intervention, or the population in question. What they do not know yet is why this paper exists.

The distinction matters because authors who conflate introduction with review tend to bury the study's contribution under paragraphs of context. By the time the research gap appears, the editor has already lost confidence in the signal-to-noise ratio of the manuscript. A tighter introduction that builds toward a clear gap and a clear objective projects confidence in the work. A sprawling one suggests the authors are not entirely sure what they found, or are not sure it is new.

The Three-Paragraph Scaffold

Most introductions in clinical research journals work best in three paragraphs. This is not a rigid rule, and some study designs reasonably require more, but three paragraphs is a useful structural target because it maps directly onto the logical task the introduction has to perform.

The first paragraph establishes context: what is known about the condition, intervention, population, or phenomenon being studied. This paragraph should be specific enough to show the authors know the literature and broad enough to ground a reader who works in an adjacent area. Sentences here typically use present tense for established facts ("Type 2 diabetes affects approximately 537 million adults globally") and past tense for specific findings from prior studies. References in this paragraph should be selective: four to six citations for well-established facts is usually enough, and citing 15 papers to support a statement that is not in dispute signals poor editorial judgment.

The second paragraph identifies the gap: what is not known, what remains contested, what prior research failed to address, or what clinical problem remains unsolved despite the evidence base described in paragraph one. This is the most difficult paragraph for most authors to write, and the most consequential. An imprecise gap statement will undermine the rest of the introduction regardless of how strong the science is.

The third paragraph states the objective: what this study set out to do, usually in a single declarative sentence, sometimes followed by one sentence describing the primary hypothesis and one sentence providing the briefest possible description of the study design. The objective sentence should be specific enough that a reader could, in principle, predict what they are about to see in the Methods section.

How Long Is Long Enough

High-impact clinical journals expect the introduction to be short, and their instructions say so in various degrees of directness. Introductions in NEJM original articles routinely run 250 to 400 words. JAMA and BMJ research articles often sit in the 300 to 500 word range. The Lancet is similarly compressed. Specialist journals and those with higher typical word counts (some PLOS journals, for instance, or subspecialty journals in fields like gastroenterology or oncology) allow somewhat longer introductions, sometimes reaching 600 to 800 words, but even there a 1,200-word introduction is almost never justified.

These limits are not arbitrary. They reflect the expectation that a researcher who understands their field well enough to have conducted an original study should be able to explain why it was needed in under 500 words. An introduction that cannot fit into that space has usually not been edited for essentials. It has been padded with material that belongs either in the discussion, in a review article, or nowhere in the paper at all.

Approximate introduction length expectations by journal tier

  • NEJM, Lancet, JAMA:250 to 400 words. Typically no subheadings. Reads as a single, continuous argument.
  • BMJ, Annals of Internal Medicine:300 to 500 words. May include an informal structured abstract alongside a longer introduction.
  • Subspecialty journals:400 to 700 words, depending on the depth of background required by the subject matter and the journal's style.
  • PLOS ONE and open-access general journals:500 to 800 words, with somewhat more latitude, but not unlimited.

Verify the current guidelines for your specific target journal, as policies are updated regularly.

The Research Gap: The Sentence Most Introductions Get Wrong

The research gap statement is the single most important sentence in the introduction, and the one most frequently written poorly. A gap statement has to do two things at once: explain what prior research did not do, and make it plausible that this matters. Doing only one of those things is not enough.

The most common failure is the vague gap. Phrases like "this area remains underexplored," "few studies have examined," and "data are limited" appear in hundreds of thousands of introductions and convey almost nothing. They are true of virtually every research question at virtually every moment, because science always has more to learn. What a useful gap statement says instead is something specific: no prior randomized trial compared these two approaches in this population over this timeframe; the existing observational evidence is almost entirely from high-income settings, leaving outcomes in lower-resource contexts unknown; the mechanism linking the exposure to the outcome has been proposed but never tested in humans.

The second common failure is the overclaimed gap. Statements like "no study has ever examined this relationship" invite a reviewer to spend ten minutes on PubMed and return with three counterexamples. If you are not certain the literature is empty, do not claim it is. What you can more safely say is that no study meeting specific criteria has been published, or that prior studies shared a methodological limitation your design addresses, or that a well-powered replication in a distinct clinical context has not been done. Those formulations are honest and still justify the work.

A third failure is the gap that does not connect to the objective. If the gap statement says that prior studies were too small and your study is also relatively small, the reader will notice the inconsistency. Whatever problem the gap identifies, the objective should directly address it. That connection does not need to be labored, but it should be present.

Writing the Study Objective

The objective sentence typically appears as the last or second-to-last sentence of the introduction. It should name the population, the exposure or intervention, the comparator if relevant, and the primary outcome, using language that matches what will appear in the Methods section. If the abstract states one primary endpoint and the introduction states a different aim, that mismatch will be flagged by reviewers and can trigger queries from editors before the paper even reaches peer review.

The objective should almost always be singular. An introduction that lists three co-equal aims ("we aimed to describe X, evaluate Y, and determine Z") tends to produce a manuscript that has not decided what it is fundamentally about. Primary journals expect a primary question. Secondary aims can follow but should be subordinate. If the study genuinely had three aims, consider whether the manuscript is one paper or three.

Clinical trials registered on ClinicalTrials.gov have a registered primary outcome, and that outcome should drive the stated objective. Journals complying with ICMJE requirements on trial registration check for consistency between the registered protocol and the submitted manuscript. An objective statement that diverges from the registered primary endpoint will require explicit explanation, usually in the form of an amendment note or a transparency statement in the Methods. Better to align these before submission than to explain the divergence under revision pressure.

Comparing weak and stronger objective statements

Weak

"We aimed to investigate the effects of statin therapy in patients with chronic kidney disease."

No comparator, no outcome, no population specifics, no timeframe.

Stronger

"We conducted a randomized trial to determine whether high-intensity statin therapy versus moderate-intensity statin therapy reduced the composite of non-fatal myocardial infarction, stroke, or cardiovascular death over 36 months in adults with stage 3b to 4 chronic kidney disease."

Population defined, intervention and comparator named, primary outcome specified, timeframe included.

References in the Introduction: Curation, Not Accumulation

A well-chosen introduction cites fewer papers than most authors think it needs. For a standard clinical research article, twelve to fifteen references in the introduction is already on the high side. Many strong published papers in NEJM, JAMA, and The Lancet support their introductions with eight to ten citations. The principle is that every reference should be load-bearing: it either establishes a specific claim that the reader might otherwise question, or it provides the key prior study that the gap statement responds to.

Piling on citations to support self-evident claims wastes the reader's trust. If the first sentence states that hypertension affects approximately one billion adults worldwide, one good reference (a recent WHO report or a well-powered epidemiological study) is enough. Attaching six citations to that sentence suggests the authors are signaling effort rather than selecting the best source.

In 2026, citation hygiene has also become a research integrity issue. The rate of fabricated citations in PubMed-indexed papers has risen substantially over the past two years, widely attributed to AI writing tools that hallucinate references. Reviewers and editors have become more alert to this, and some journals now run automated citation checks before peer review. Every reference in your introduction should have been read by at least one author, verified to exist at the cited source, and confirmed to say what the citation claims it says. This should be obvious, but it is not universal, and the consequences of a fabricated citation discovered post-publication are disproportionate to whatever time it saved.

What Desk Editors Actually Read First

Desk editors at high-volume journals read quickly. A managing editor handling hundreds of submissions per week is not reading every introduction closely on first pass. What they are doing is something closer to pattern matching: does the abstract align with the journal's scope? Does the stated aim feel original? Does the first paragraph of the introduction confirm or undermine the abstract's claim?

The introduction serves as the first sanity check after the abstract. If the abstract says the study addresses a major clinical question and the introduction opens with three paragraphs of epidemiology that could describe a dozen other papers, the editor notices the mismatch. The contribution is not visible, and the manuscript heads toward a desk rejection that has nothing to do with the underlying science.

This is why the research gap and objective are more important at the desk-review stage than the background is. The background paragraphs confirm familiarity with the field. The gap and objective tell the editor whether the paper belongs in this journal, at this moment. Authors who write their introductions with the desk editor's reading speed in mind tend to front-load specificity: they state the gap earlier, they name the population and endpoint in the objective clearly, and they do not make the reader hunt through dense background paragraphs to understand what the paper did.

The AI Manuscript Flood and What It Means for Your Introduction

AI writing tools produce introductions that are structurally competent and intellectually generic. The background paragraph is usually adequate: it describes a condition, cites relevant prevalence data, notes the clinical burden. The gap statement tends to be vague, defaulting to phrases about limited evidence or underexplored populations without specifying what prior studies actually did and why that was insufficient. The objective sentence is often grammatically correct but under-specified.

Experienced editors and reviewers have seen enough of this pattern to recognize it, even when no AI detection tool flags the text. The tell is not always stylistic. It is often intellectual: the introduction says the study was needed but does not explain why existing evidence was not enough. The gap looks like a gesture rather than an argument. The objective could describe a study of almost any size, any population, or any comparator.

The practical advice is not to avoid AI tools entirely but to not let them write the gap statement or the objective. Those are the two places in the introduction where the authors' actual thinking is most legible, and where generic language causes the most damage. Use a writing tool to tighten sentences you have already drafted from your own understanding of the literature. Do not use it to generate the claim that your study was necessary. That claim has to come from you, because you are the one who knows whether it is true.

What the Introduction Should Not Do

A few failure modes recur frequently enough to be worth naming explicitly. The first is including data, findings, or conclusions from the study being reported. The introduction describes the context for the study. Its findings belong in the results and discussion. Authors sometimes pre-announce a result in the introduction ("our study showed for the first time that...") which confuses the structure and occasionally violates confidentiality during peer review.

The second failure is the introduction that repeats the abstract. Because the abstract is written as a self-contained summary and the introduction is written as a narrative opening, the language will naturally overlap somewhat. That is acceptable. But an introduction that systematically paraphrases each abstract sentence in the same order, adding only transitions, adds no informational value and irritates reviewers who read the abstract first.

The third failure is the introduction that does not match the Methods. If the introduction says the study used a randomized design and the Methods section describes an observational study, that is a serious problem. If the introduction frames the question as comparing drug A to placebo and the Methods section describes a three-arm trial comparing drug A to drug B and to placebo, the introduction needs to be revised. Mismatches between the introduction and the Methods suggest the paper was assembled from parts rather than written as a coherent whole, and that impression is difficult to undo.

A Pre-Submission Self-Check for Your Introduction

Before you submit, spend fifteen minutes reading only the introduction, in isolation from the rest of the manuscript, and ask whether it stands as a complete argument. A reader who stopped at the end of the introduction should be able to articulate what the study did, why it was needed, and roughly how it was designed. If they cannot, the section has not done its job.

Pre-submission review questions for your introduction

  • Does the first paragraph establish the specific context for this study, not the general field?
  • Does the gap statement name what prior research failed to address, not just that "evidence is limited"?
  • Does the objective sentence name the population, intervention or exposure, comparator, and primary outcome?
  • Does the objective match the registered primary endpoint (for clinical trials) and the primary analysis in the Methods section?
  • Are all references verified to exist and confirmed to say what you claim they say?
  • Is the total word count within the range the target journal specifies for the introduction?
  • Does the introduction contain any results, conclusions, or data from the current study?
  • Does the introduction repeat the abstract sentence by sentence?

Introductions that pass this check consistently have the same quality. They are specific, brief, and organized around a logical argument rather than a catalog of background knowledge. They feel like they were written by someone who understood the field well enough to be selective about what to include, not by someone trying to demonstrate how much they had read. In a submission environment where editors are moving faster under greater volume, that quality is noticed, and it affects the paper's first impression before the methodology is even evaluated.

The investment worth making is not in length but in precision. A 350-word introduction that lands on a clear gap and a well-specified objective will serve a clinical manuscript far better than an 800-word introduction that arrives at the same place more slowly. Write the introduction last if you must, but revise it as though it will be read first. It will be.

Further Reading

MZ

Written by Dr. Meng Zhao

Physician-Scientist · Founder, LabCat AI

MD · Former Neurosurgeon · Medical AI Researcher

Dr. Meng Zhao is a former neurosurgeon turned medical-AI researcher. After years in the operating room, he moved into applied AI for clinical workflows and now leads LabCat AI, a medical-AI company working on decision support and research tooling for clinicians. He built Journal Metrics as a free resource for researchers who need reliable journal metrics without paid database subscriptions.

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