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dc.contributor.authorFernández‑Félix, Borja M.
dc.contributor.authorLópez Alcalde, Jesús 
dc.contributor.authorRoqué, Marta
dc.contributor.authorMuriel, Alfonso
dc.contributor.authorZamora, Javier
dc.date.accessioned2024-02-07T12:26:45Z
dc.date.available2024-02-07T12:26:45Z
dc.date.issued2023
dc.identifier.issn1471-2288spa
dc.identifier.urihttps://hdl.handle.net/10641/3894
dc.description.abstractBackground Systematic reviews of studies of clinical prediction models are becoming increasingly abundant in the literature. Data extraction and risk of bias assessment are critical steps in any systematic review. CHARMS and PROBAST are the standard tools used for these steps in these reviews of clinical prediction models. Results We developed an Excel template for data extraction and risk of bias assessment of clinical prediction models including both recommended tools. The template makes it easier for reviewers to extract data, to assess the risk of bias and applicability, and to produce results tables and figures ready for publication. Conclusion We hope this template will simplify and standardize the process of conducting a systematic review of prediction models, and promote a better and more comprehensive reporting of these systematic reviews.spa
dc.language.isoengspa
dc.publisherBMC Medical Research Methodologyspa
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectCHARMSspa
dc.subjectPROBASTspa
dc.subjectSystematic reviewspa
dc.subjectPrognostic modelspa
dc.subjectTemplatespa
dc.titleCHARMS and PROBAST at your fingertips: a template for data extraction and risk of bias assessment in systematic reviews of predictive models.spa
dc.typejournal articlespa
dc.type.hasVersionAMspa
dc.rights.accessRightsopen accessspa
dc.description.extent5,99 MBspa
dc.identifier.doi10.1186/s12874-023-01849-0spa
dc.relation.publisherversionhttps://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-023-01849-0spa


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