How to complete the STROBE checklist for an observational study

The STROBE checklist is the 22-item reporting guideline for observational studies, published in 2007 by the STROBE initiative. It has versions for cohort, case-control and cross-sectional designs and covers the title and abstract, introduction, methods, results, discussion and funding. Journals ask authors to submit it completed, with the page or line where each item is reported. It checks reporting completeness, not study quality.

What is the STROBE checklist?

STROBE stands for STrengthening the Reporting of OBservational studies in Epidemiology. The STROBE Statement was published in late 2007 in several journals at once, including The Lancet, BMJ, PLoS Medicine and Annals of Internal Medicine, with a long Explanation and Elaboration paper that gives the reasoning and a published example for every item. The EQUATOR Network lists STROBE as the main reporting guideline for observational studies.

The checklist has 22 numbered items, several with lettered sub-items. It covers three designs: cohort, case-control and cross-sectional studies. It tells you what information a reader needs to judge your study. It does not tell you how to design or analyse it, and it is not a quality score. A badly designed study can still report every item. A sound one can still be rejected for leaving items out.

If you are not sure that STROBE is the right guideline for your design, start with our guide to which reporting guideline your study needs.

Check your observational study against STROBE

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Which STROBE checklist should I use: cohort, case-control or cross-sectional?

The STROBE website offers a combined checklist and three design-specific versions, plus a short checklist for conference abstracts. All of them have the same 22 items. Only a few items change wording by design:

Item Cohort study Case-control study Cross-sectional study
6a Participants Eligibility, sources, selection methods and follow-up methods Eligibility, how cases were ascertained and controls selected, and why those cases and controls Eligibility, sources and selection methods
6b Matching Matching criteria and numbers exposed and unexposed Matching criteria and controls per case Not applicable
12d Statistical methods How loss to follow-up was handled How the matching was handled in the analysis How the sampling strategy was accounted for
14c Descriptive data Summary of follow-up time Not applicable Not applicable
15 Outcome data Outcome events or summary measures over time Numbers in each exposure category Outcome events or summary measures

Items 8, 13, 14 and 15 are marked with an asterisk in the checklist. For these, give the information separately for cases and controls in a case-control study, and for exposed and unexposed groups in a cohort or cross-sectional study where that applies.

Use the design-specific version that matches your study. A retrospective chart review that compares outcomes between two exposure groups is usually a cohort study, even though the data already existed. Say so in the title or abstract.

What does each STROBE item ask for, and where does it go?

The table summarises each item in plain language and shows where reviewers expect to find it. The wording is ours. Download the official checklist from the STROBE website for the exact text.

# Topic What to report (summary) Usual section
1 Title and abstract Name the design in the title or abstract; give a balanced summary of methods and findings Title, Abstract
2 Background and rationale Why the question matters and what is already known Introduction
3 Objectives Specific objectives and any hypotheses set in advance Introduction (last paragraph)
4 Study design The key design elements, stated early Methods (first paragraph)
5 Setting Where, and the dates of recruitment, exposure, follow-up and data collection Methods
6 Participants Eligibility, sources and selection; follow-up or case/control selection; matching Methods
7 Variables Definitions of outcomes, exposures, confounders and effect modifiers; diagnostic criteria Methods
8 Data sources and measurement Where each variable came from and how it was measured; comparability between groups Methods
9 Bias What you did about possible sources of bias Methods
10 Study size How the sample size was reached (a power calculation, or all eligible patients in a period) Methods
11 Quantitative variables How continuous variables were handled; any groupings and why Methods (statistics)
12 Statistical methods All methods, confounder control, subgroups and interactions, missing data, design-specific issues, sensitivity analyses Methods (statistics)
13 Participants (results) Numbers at each stage, reasons for non-participation; consider a flow diagram Results (first paragraph, Figure 1)
14 Descriptive data Participant characteristics, missing data per variable, follow-up time Results, Table 1
15 Outcome data Outcome or exposure counts, by design Results
16 Main results Unadjusted and adjusted estimates with precision, which confounders and why, category cut-offs, absolute risk where relevant Results, Table 2
17 Other analyses Subgroup, interaction and sensitivity analyses Results, Supplement
18 Key results Main findings against the objectives Discussion (first paragraph)
19 Limitations Sources of bias and imprecision, with direction and size Discussion
20 Interpretation A cautious interpretation that weighs limitations, multiple analyses and other evidence Discussion
21 Generalisability External validity Discussion
22 Funding Funding source and the funder's role, including for any parent study Funding statement

Items 12 and 16 are where most observational manuscripts lose points. For item 16, report both the crude and the adjusted estimate with a 95% confidence interval, and name every variable in the model. If you report an odds ratio, consider adding an absolute risk difference as well. Our guide to odds ratios, relative risks and hazard ratios explains which measure fits which design, and the guide to reporting P values and confidence intervals covers how to present precision.

How do I fill in a STROBE checklist?

  1. Download the version for your design from the STROBE website (Word or PDF).
  2. Finish the manuscript first. Turn on line numbers in your word processor so the page and line references will not change.
  3. Go through the 22 items in order. For each item and sub-item, find where the manuscript reports it. Write the page and line numbers (for example, "p. 5, lines 98–104") or the section, table or figure.
  4. Fix the gaps in the manuscript, not in the checklist. If an item is missing, add it to the text. A checklist entry that points to nothing is a red flag for the editor.
  5. Mark items that do not apply as "not applicable", with a short reason (for example, "6b: no matching was used"). Do not leave rows blank.
  6. Check the asterisked items (8, 13, 14, 15). Give the information separately by group.
  7. Say in the Methods that you followed STROBE, for example: "This study is reported following the STROBE guideline for cohort studies."
  8. Update the numbers after every revision. Line numbers move when you revise. Recheck the checklist before you resubmit.

Worked example: filling in four STROBE items (synthetic data)

All data below are synthetic and made up for illustration. They do not describe a real study.

A team reports a retrospective cohort of 4,500 singleton pregnancies at one hospital. The exposure is gestational diabetes and the outcome is preterm birth. Their checklist rows might read:

Item Where reported Entry
1a Title, p. 1, line 2 "...: a retrospective cohort study"
10 Methods, p. 6, lines 131–135 All eligible deliveries in 2021–2024; no formal power calculation; minimum detectable risk difference stated
13a Results, p. 8, lines 170–176; Figure 1 4,812 screened, 312 excluded (reasons listed), 4,500 analysed
16a Results, p. 9, lines 188–196; Table 2 Crude and adjusted risk ratios with 95% CI; covariates and the reason for each named in Methods

While checking item 13, the team notices that the abstract says 4,520 participants but Figure 1 and Table 1 say 4,500. The difference is 20 pregnancies excluded after a data-cleaning step that was never reported. Reviewers often catch this kind of mismatch. Fix it by adding the step to the flow diagram and making the abstract match.

Which STROBE extension applies to my study?

Extensions add items for specific methods or fields. You use them together with the main checklist, not instead of it. The EQUATOR Network's STROBE page lists the current set. These are the most common:

Extension Use it for First published
RECORD Studies using routinely collected health data (registries, administrative claims, electronic health records) 2015
RECORD-PE Pharmacoepidemiology studies using routinely collected data 2018
STROBE-MR Mendelian randomization studies 2021
STROBE-nut Nutritional epidemiology 2016
STREGA Genetic association studies 2009
STROBE-ME Molecular epidemiology (biomarkers) 2011
STROBE for conference abstracts Abstracts of observational studies submitted to meetings Listed by the STROBE initiative

The EQUATOR page also lists newer or narrower extensions, such as STROBE-AMS (antimicrobial stewardship), STROBE-SIIS (sports injury surveillance) and STROBE-EQUITY (health equity). A retrospective database or chart-review study usually needs both STROBE and RECORD. Some journals require STROBE-MR for Mendelian randomization papers. As of October 2026, for example, PLOS ONE asks for a completed STROBE-MR checklist with page numbers and the relevant text.

How do reviewers and editors check STROBE?

Journals use the checklist in different ways. Some ask for it at submission and send it back if it is incomplete. Some pass it to peer reviewers as a map of the manuscript. Some use it only to check the Methods during editorial screening. The ICMJE Recommendations encourage journals to ask authors to follow STROBE for observational studies. JAMA, for example, names STROBE in its instructions for authors.

In practice, reviewers open the checklist next to the manuscript and spot-check the items that are most often weak: the flow of participants (13), missing data (12c, 14b), confounder selection (16a) and the limitations (19). A checklist that says "Methods" for every item, or page numbers that point to the wrong place, signals that the checklist was filled in without reading the paper. That costs credibility before the science is even read.

CliniPaper checks a manuscript against STROBE item by item, points to where each item is reported or missing, and recomputes the participant counts across the abstract, flow diagram and tables. Authors stay responsible for the content. If you use AI tools while writing, disclose it as your target journal requires.

Common mistakes reviewers flag

  • The design is not named in the title or abstract, or it is called "retrospective study" without saying cohort, case-control or cross-sectional.
  • Numbers that do not add up between the abstract, the flow diagram, Table 1 and the results text.
  • Missing data are not reported, or a complete-case analysis is used without saying how many participants were dropped.
  • Only adjusted estimates are reported, or the adjustment set is not explained.
  • Confounders chosen by stepwise selection with no rationale, which reviewers question under item 16a.
  • No study-size rationale. "All eligible patients" is acceptable if you say so, along with the period.
  • Causal language ("X reduces Y") in a cross-sectional or retrospective design, against item 20's call for a cautious interpretation.
  • The wrong guideline. A trial reported with STROBE, or an observational study with CONSORT. For randomised designs, use the CONSORT 2025 checklist.
  • A checklist that points to nothing, or page numbers left over from an earlier version.

Frequently asked questions

How many items are in the STROBE checklist?

The STROBE checklist has 22 numbered items. Several have lettered sub-items, so there are more individual entries to complete than the 22 item numbers suggest.

Is STROBE used for case series or case reports?

No. STROBE covers cohort, case-control and cross-sectional studies. Case reports use the CARE guideline. Case series have no single agreed guideline, so check the EQUATOR library and your journal's instructions.

Can STROBE be used to assess the quality of a study in a systematic review?

It was not designed for that. STROBE measures how completely a study is reported, not its risk of bias. Use a risk-of-bias tool for appraisal.

Do I need STROBE and RECORD together?

Yes, if your observational study uses routinely collected data such as registries, claims or electronic health records. RECORD adds items to STROBE. It does not replace it.

Where do I upload the completed STROBE checklist?

Usually as a supplementary file during submission. Some journals have a dedicated "reporting checklist" file type. Follow your target journal's instructions for authors.

Do this on your own paper

Describe your study or paste your text. CliniPaper starts the work and checks every number and reference.

Free to start. No card, no patient data needed.

Sources

  1. STROBE initiative: checklists for cohort, case-control and cross-sectional studies
  2. EQUATOR Network: STROBE statement, publications and extensions
  3. von Elm E, et al. The STROBE statement: guidelines for reporting observational studies. PLoS Med. 2007;4(10):e296
  4. Vandenbroucke JP, et al. STROBE: explanation and elaboration. PLoS Med. 2007;4(10):e297
  5. Benchimol EI, et al. The RECORD statement. PLoS Med. 2015;12(10):e1001885
  6. Skrivankova VW, et al. Strengthening the Reporting of Observational Studies in Epidemiology using Mendelian randomization: the STROBE-MR statement. JAMA. 2021;326(16):1614-1621
  7. Lachat C, et al. STROBE-nut: an extension of the STROBE statement. PLoS Med. 2016;13(6):e1002036
  8. ICMJE Recommendations: preparing a manuscript for submission (reporting guidelines)
  9. PLOS ONE: best practices in research reporting

The CliniPaper team writes these guides from journal author instructions, ICMJE and EQUATOR reporting guidelines and our work with physician-researchers. Every reference is checked against PubMed or Crossref. This guide is general information, not editorial advice from any journal; always check the current author instructions of your target journal. If you use AI tools for a manuscript, disclose it as the journal requires.