Declaración de la Iniciativa STROBE (Strengthening the Reporting of Observational studies in Epidemiology): directrices para la comunicación de estudios observacionales
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Gran parte de la investigación biomédica es de tipo observacional, pero la información difundida sobre esas investigaciones es a menudo insuficiente, lo que dificulta la evaluación de sus puntos fuertes y débiles para la generalización de sus conclusiones En el marco de la iniciativa STROBE (Strengthening the Reporting of Observational Studies in Epidemiology), se formularon recomendaciones sobre lo que debería contener una notificación precisa de un estudio observacional. Decidimos limitar el alcance de las recomendaciones a tres grandes modalidades de estudio: de cohortes, de casos y controles, y transversales. En septiembre de 2004 organizamos un taller de 2 días con metodólogos, investigadores y editores de revistas para elaborar una lista de verificación de distintos puntos. Esta lista fue revisada posteriormente en varias reuniones del grupo de coordinación y en discusiones mantenidas por correo electrónico con los principales participantes en STROBE, teniendo en cuenta la evidencia empírica y diversas consideraciones metodológicas. El taller y el posterior proceso iterativo de consulta y revisión desembocaron en una lista de verificación de 22 puntos (la declaración STROBE) que guardan relación con el título, el resumen, la introducción y las secciones de métodos, resultados y discusión de los artículos. Dieciocho puntos son comunes a las 3 modalidades de estudio, y 4 se refieren específicamente a los estudios de cohortes, de casos y controles o transversales. Se ha publicado separadamente un documento de explicación y elaboración al que puede accederse libremente en los sitios web de PLoS Medicine, Annals of Internal Medicine y Epidemiology. Esperamos que la declaración STROBE contribuya a mejorar la calidad de la publicación de los estudios observacionales. Much biomedical research is observational. The reporting of such research is often inadequate, which hampers the assessment of its strengths and weaknesses and of a study’s generalisability. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) initiative developed recommendations on what should be included in an accurate and complete report of an observational study. We defined the scope of the recommendations to cover three main study designs: cohort, case-control, and cross-sectional studies. We convened a 2-day workshop in September, 2004, with methodologists, researchers, and journal editors to draft a che-cklist of items. This list was subsequently revised during several meetings of the coordinating group and in e-mail discussions with the larger group of STROBE contributors, taking into account empirical evidence and methodological considerations. The workshop and the subsequent iterative process of consultation and revision resulted in a checklist of 22 items (the STROBE statement) that relate to the title, abstract, introduction, methods, results, and discussion sections of articles. 18 items are common to all three study designs and four are specific for cohort, case-control, or cross-sectional studies. A detailed explanation and elaboration document is published separately and is freely available on the websites of PLoS Medicine, Annals of Internal Medicine, and Epidemiology. We hope that the STROBE statement will contribute to improving the quality of reporting of observational studies.
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This study was conducted and reported according to best practice guidelines in the Strengthening the Reporting of Observational studies in Epidemiology (STROBE).
“This study was conducted and reported according to best practice guidelines in the Strengthening the Reporting of Observational studies in Epidemiology.24”
From Measuring the prevalence and impact of poor menstrual hygiene management: A quantitative survey of schoolgirls in rural Uganda (2016) · cites this paper as [24]
The study was conducted and reported according to best practice guidelines in the Strengthening the Reporting of Observational studies in Epidemiology (STROBE) statement.
“This study was conducted and reported according to best practice guidelines in the Strengthening the Reporting of Observational studies in Epidemiology statement [20].”
From Schoolgirls’ experience and appraisal of menstrual absorbents in rural Uganda: a cross-sectional evaluation of reusable sanitary pads (2016) · cites this paper as [20]
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- Authors
- Von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., & Vandenbroucke, J. P.
- Affiliations
- University of Oxford (GB)
- University of Bern (CH)
- University of London (GB)
- Cochrane (DK)
- Leiden University Medical Center (NL)
- Venue
- Gaceta Sanitaria
- Publisher
- Elsevier BV
- Published
- 2008-03
- Volume
- 22
- Issue
- 2
- Pages
- 144-150
- ISSN
- 0213-9111 (ISSN-L)
- OpenAlex
- W2110172624
- Semantic Scholar
- 14c7f5f5d55d16f536fc85b3a7a74244aaedc49a
- Cited by
- 417
- References
- 35
- Citations by year
- 2026: 21 · 2025: 26 · 2024: 39 · 2023: 43 · 2022: 38 · 2021: 48 · 2020: 31 · 2019: 27 · 2018: 33 · 2017: 31 · 2016: 22 · 2015: 14 · 2014: 10 · 2013: 3 · 2012: 1
- FWCI
- 10.89
- Type
- journal article
- Language
- es
- Open access
- gold
- doi.org
- Licence
- Locations
- Gaceta Sanitaria (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
- Keywords
- STROBE, reporting guidelines, observational studies, cohort studies, case-control study, cross-sectional study, checklists, research quality, generalizability, confounding, confounding adjustment, selection bias, attrition, loss to follow-up, misclassification, measurement error, confounding by indication
- MeSH terms
- Cross-Sectional Studies, Epidemiology, Publishing, Cohort Studies, Case-Control Studies
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