Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and elaboration
Open accessAbstract
Much medical research is observational. The reporting of observational studies is often of insufficient quality. Poor reporting hampers the assessment of the strengths and weaknesses of a study and the generalisability of its results. Taking into account empirical evidence and theoretical considerations, a group of methodologists, researchers, and editors developed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) recommendations to improve the quality of reporting of observational studies. The STROBE Statement consists of a checklist of 22 items, which relate to the title, abstract, introduction, methods, results and discussion sections of articles. Eighteen items are common to cohort studies, case–control studies and cross-sectional studies and four are specific to each of the three study designs. The STROBE Statement provides guidance to authors about how to improve the reporting of observational studies and facilitates critical appraisal and interpretation of studies by reviewers, journal editors and readers. This explanatory and elaboration document is intended to enhance the use, understanding, and dissemination of the STROBE Statement. The meaning and rationale for each checklist item are presented. For each item, one or several published examples and, where possible, references to relevant empirical studies and methodological literature are provided. Examples of useful flow diagrams are also included. The STROBE Statement, this document, and the associated Web site ( http://www.strobe-statement.org/ ) should be helpful resources to improve reporting of observational research.
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Reporting complies with common guidelines.
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“• Tools were applied jointly alongside STROBE and ROBINS-I for exposure/transversal designs (von Elm et al., 2007; Vandenbroucke et al., 2014; Sterne et al., 2016).”
Predictors of return visits to the emergency department among different age groups of older adults
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- Authors
- Vandenbroucke, J. P., von Elm, E., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S. J., Poole, C., Schlesselman, J. J., & Egger, M.
- Affiliations
- Leiden University Medical Center (NL)
- University of Oxford (GB)
- Rigshospitalet (DK)
- The University of Texas at San Antonio Health Science Center (US)
- London School of Hygiene & Tropical Medicine (GB)
- University of North Carolina at Chapel Hill (US)
- University of Pittsburgh (US)
- University of Bern (CH)
- Corresponding author
- Egger, Matthias
- ORCID
- Venue
- International Journal of Surgery
- Published
- 2014-12
- Volume
- 12
- Issue
- 12
- Pages
- 1500-1524
- ISSN
- 1743-9159 (ISSN-L)
- 1743-9191
- OpenAlex
- W4296024375
- Cited by
- 2,969
- References
- 218
- Citations by year
- 2026: 429 · 2025: 420 · 2024: 336 · 2023: 372 · 2022: 328 · 2021: 305 · 2020: 273 · 2019: 165 · 2018: 121 · 2017: 88 · 2016: 81 · 2015: 28 · 2014: 8 · 2013: 9 · 2012: 4
- FWCI
- 66.87
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- International Journal of Surgery (publishedVersion, cc-by)
- Bristol Research (University of Bristol) (publishedVersion)
- SERVAL (Université de Lausanne) (publishedVersion, other-oa)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- IRIS (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- Funders
- University of Bern
- University of Bristol
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Health Sciences › Health Professions › Health Information Management › Methodologies in Health Research and Practice
- Keywords
- STROBE statement, reporting quality, observational studies, cohort studies, case-control study, cross-sectional study, reporting checklist, flowcharts, critical appraisal, study design reporting
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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