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How to Write the Results Section of a Research Paper

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Short answer: Knowing how to write results section content involves presenting findings objectively in the exact sequence of your research questions and methods, reporting exact statistical metrics with confidence intervals, and avoiding speculative interpretation.

The Results section presents what the study found. It should follow the logic established in the Methods, report the planned outcomes and analyses clearly, and distinguish observed results from interpretation. According to the official ICMJE Preparing a Manuscript guidelines, authors should present results in a logical sequence, give the most important findings first, provide absolute numbers as well as derived measures such as percentages, and avoid unnecessary duplication between text, tables, and figures.

What is the purpose of the Results section?

The Results section answers: What did the study find? It is not the place to explain at length why the findings occurred or whether they agree with previous literature. Those interpretive tasks generally belong in the Discussion.

1. Follow the order of the research questions and Methods

Use an order that readers can follow. A common structure is participant/sample flow, baseline or descriptive characteristics, primary outcome, secondary outcomes, additional analyses, and sensitivity or subgroup analyses. The exact order should match the study design and journal instructions. To ensure your preceding text aligns with these reporting flows, review our guide on How to Write the Methods Section.

2. Start with the study population or analytical sample

Explain how many participants, records, specimens, articles, or observations were assessed and how many were included in the final analysis. Report exclusions, withdrawals, missing observations, or losses to follow-up when relevant. For systematic reviews, use the appropriate study-selection reporting framework and flow diagram.

3. Report descriptive results before complex analyses

Give the information needed to understand the sample before presenting model outputs. Depending on the study, this may include age distributions, demographic characteristics, baseline measurements, exposure groups, or other relevant characteristics.

4. Report the primary outcome clearly

Make the main result easy to find. State the estimate, relevant comparison, and uncertainty measure when appropriate. If you report a percentage, also provide the numerator and denominator where useful. ICMJE specifically recommends reporting absolute numbers as well as derivatives such as percentages.

5. Use tables and figures strategically

Tables are useful for structured numerical information; figures can show trends, distributions, relationships, or complex patterns. Do not copy every table value into the prose. ICMJE recommends emphasizing only the most important observations in the text and avoiding duplication between graphs and tables.

6. Report statistical results precisely

Name the analysis used where needed, give effect estimates and measures of uncertainty, and report P values according to the journal's style. Avoid presenting statistical significance as a substitute for scientific importance. Where appropriate, distinguish prespecified from exploratory analyses.

7. Keep interpretation under control

A sentence such as 'Treatment X reduced outcome Y' may be acceptable when it accurately describes the study estimate, but claims about mechanism, causation, clinical importance, or implications may require Discussion-level context. Be especially careful with observational studies, where association does not automatically establish causation. Once you transition from raw numbers to interpreting their significance, consult our breakdown on How to Write the Discussion Section.

8. Use reporting guidelines as a completeness check

The EQUATOR Network Results Reporting Guidelines provides reporting guidance organized by study type and report section. Its library includes major guideline families for randomized trials, observational studies, systematic reviews, diagnostic studies, case reports, qualitative research, animal studies, and more. For complete standardizations, you can also cross-reference our Research Reporting Guidelines Checklist and Finder.

Results-section checklist

□ Participant/sample flow is reported where applicable.

□ The analytical sample size is clear.

□ Descriptive characteristics are sufficient to understand the sample.

□ Primary and secondary outcomes are reported.

□ Results follow the Methods and research questions.

□ Absolute numbers are provided where useful, not only percentages.

□ Effect estimates and uncertainty are reported where appropriate.

□ Tables and figures are necessary and do not duplicate each other unnecessarily.

□ Missing data, exclusions, and relevant sensitivity analyses are addressed.

□ Exploratory findings are not presented as though they were prespecified.

□ Interpretation and speculation are reserved mainly for the Discussion.

Common Results-section mistakes

Repeating the entire table in prose.

Reporting only P values without effect estimates or uncertainty.

Introducing an analysis in Results that was never described in Methods.

Changing denominators without explaining why.

Calling an association causal without a design that supports causal inference.

Leaving important primary outcomes unreported.

Mixing literature review or discussion with the results.

A simple writing pattern

For each major outcome, use a consistent sequence: identify the outcome → state the comparison or estimate → provide the relevant numerical result → give uncertainty or statistical information where appropriate → point the reader to the relevant table or figure. Then move to the next outcome.

Final takeaway

The best Results sections are easy to audit against the Methods. A reader should be able to see what was planned, what was measured, what was found, and where the supporting data appear—without having to decode the author's argument. To tie your structural narrative back to the opening, see our tutorial on How to Write a Research Paper Introduction before moving into the Manuscript Submission Process Guide.

  • How to Write the Methods Section
  • How to Write the Discussion Section
  • How to Write an Academic Research Paper
  • Research Reporting Guidelines Checklist

Editorial note: Reporting requirements vary by study design, discipline, journal, and jurisdiction. Always check the target journal's current author instructions before submission.


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Reviewed by Umair Abbasi

AI Engineer & Data Scientist | PhD Candidate, Artificial Intelligence

Umair Abbasi is an AI Engineer and Data Scientist with a background in machine learning, AI agents, and MLOps, currently pursuing a PhD in Artificial Intelligence and holding a completed M.S. in Data Science. He leads the data architecture and tooling behind the journal metrics database and comparison tools. As an active researcher navigating journal selection and citation metrics in his own academic work, he brings a practitioner's perspective to how impact factor, CiteScore, and related metrics are actually used — not just how they're defined.

Credentials & Expertise:
- M.S., Data Science (completed) - PhD Candidate, Artificial Intelligence (in progress) - Machine Learning Specialization — Stanford University (Coursera) - Google Data Analytics Professional Certificate

This article is reviewed for accuracy on a rolling basis. Data on individual journal metrics changes annually with each Clarivate JCR release (typically June) and Scopus CiteScore update (typically June). See our Data Sources & Methodology page for sourcing details.

Written and reviewed by named authors Every page is bylined with real credentials, linked to ORCID or Google Scholar — no anonymous “Team” posts.
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