STROBE Compliance Checker
Audit observational study manuscripts against the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) 22-item checklist.
Workflow
- Read the full manuscript
- Identify the study design: cohort, case-control, or cross-sectional
- Walk through each item below, noting design-specific sub-items
- For each item, assign: Reported / Partial / Missing / N/A
- Quote the relevant manuscript text (with line/page reference) as evidence
- Output a compliance summary table + actionable fixes for Missing/Partial items
STROBE Checklist (22 Items)
Title and Abstract
| # |
Topic |
Requirement |
| 1a |
Title |
Indicate the study design with a commonly used term in the title or abstract |
| 1b |
Abstract |
Provide an informative and balanced summary of what was done and found |
Introduction
| # |
Topic |
Requirement |
| 2 |
Background/rationale |
Explain the scientific background and rationale for the investigation |
| 3 |
Objectives |
State specific objectives, including any prespecified hypotheses |
Methods
| # |
Topic |
Requirement |
| 4 |
Study design |
Present key elements of study design early in the paper |
| 5 |
Setting |
Describe setting, locations, relevant dates (recruitment, exposure, follow-up, data collection) |
| 6a |
Participants |
Cohort: eligibility criteria, sources/methods of selection, methods of follow-up. Case-control: eligibility, case ascertainment, control selection, rationale. Cross-sectional: eligibility, sources/methods of selection |
| 6b |
Participants |
Cohort/Case-control: For matched studies, give matching criteria and number matched |
| 7 |
Variables |
Clearly define all outcomes, exposures, predictors, confounders, effect modifiers; give diagnostic criteria |
| 8 |
Data sources |
For each variable, give sources of data and methods of assessment; describe comparability across groups |
| 9 |
Bias |
Describe any efforts to address potential sources of bias |
| 10 |
Study size |
Explain how the study size was arrived at |
| 11 |
Quantitative variables |
Explain how quantitative variables were handled; describe groupings and rationale |
| 12a |
Statistical methods |
Describe all statistical methods, including confounding control |
| 12b |
Statistical methods |
Methods for subgroups and interactions |
| 12c |
Statistical methods |
How missing data were addressed |
| 12d |
Statistical methods |
Cohort: how loss to follow-up was addressed. Case-control: how matching was addressed. Cross-sectional: sampling strategy methods |
| 12e |
Statistical methods |
Describe any sensitivity analyses |
Results
| # |
Topic |
Requirement |
| 13a |
Participants |
Report numbers at each stage of study (eligible, examined, confirmed, included, completed, analysed) |
| 13b |
Participants |
Give reasons for non-participation at each stage |
| 13c |
Participants |
Consider use of a flow diagram |
| 14a |
Descriptive data |
Characteristics of participants (demographic, clinical, social) and information on exposures/confounders |
| 14b |
Descriptive data |
Number of participants with missing data for each variable |
| 14c |
Descriptive data |
Cohort: Summarise follow-up time (average and total) |
| 15 |
Outcome data |
Cohort: numbers of outcome events or summary measures over time. Case-control: numbers in each exposure category. Cross-sectional: numbers of outcome events or summary measures |
| 16a |
Main results |
Unadjusted estimates and confounder-adjusted estimates with precision (95% CI). State which confounders and why |
| 16b |
Main results |
Report category boundaries when continuous variables were categorised |
| 16c |
Main results |
If relevant, translate relative risk into absolute risk for a meaningful time period |
| 17 |
Other analyses |
Report subgroup analyses, interactions, sensitivity analyses |
Discussion
| # |
Topic |
Requirement |
| 18 |
Key results |
Summarise key results with reference to study objectives |
| 19 |
Limitations |
Discuss limitations: sources of bias/imprecision, direction and magnitude of potential bias |
| 20 |
Interpretation |
Cautious overall interpretation considering objectives, limitations, multiplicity, similar studies |
| 21 |
Generalisability |
Discuss external validity of results |
Other Information
| # |
Topic |
Requirement |
| 22 |
Funding |
Source of funding and role of funders |
Design-Specific Attention
| Design |
Extra Focus |
| Cohort |
Items 6b, 12d (follow-up), 14c (follow-up time), 15 (events over time) |
| Case-control |
Items 6a-6b (case/control selection rationale, matching), 12d (matching analysis), 15 (exposure categories) |
| Cross-sectional |
Items 6a (selection), 12d (sampling strategy), 15 (summary measures) |
Common STROBE Gaps
| Frequently Missing |
Fix |
| Item 9 (Bias) |
Add a dedicated paragraph on bias sources and mitigation strategies |
| Item 10 (Study size) |
State sample size justification or explain it was convenience-based |
| Item 12c (Missing data) |
Describe complete-case, imputation, or sensitivity approach |
| Item 14b (Missing data counts) |
Add missingness counts per variable to Table 1 or supplement |
| Item 16a (Unadjusted + adjusted) |
Report both crude and adjusted estimates with 95% CIs |
| Item 19 (Limitations direction) |
Discuss direction of bias (toward/away from null), not just list weaknesses |
Output Format
STROBE Compliance Report
Study design: [Cohort / Case-control / Cross-sectional]
Manuscript: [filename]
Summary: X/22 Reported | Y Partial | Z Missing | W N/A
MISSING ITEMS (priority fixes):
[Item #] [Topic] — [What's needed]
PARTIAL ITEMS (improvements needed):
[Item #] [Topic] — [What's present] → [What's missing]
FULLY REPORTED:
[Item #] [Topic] ✓
Extensions
- STROBE-Equity (2024): 10 additional items for reporting health equity data. Use alongside core STROBE when the study addresses health disparities.
- RECORD (REporting of studies Conducted using Observational Routinely-collected Data): Extension for electronic health record / claims database studies.
Related Skills
/manuscript — Overall manuscript writing and anti-pattern scanning
/human-write — AI-flavored vocabulary detection