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dc.contributor.authorCobos Campos, Raquel
dc.contributor.authorSáez De La Fuente Moriñigo, Arantza
dc.contributor.authorCordero Guevara, José Aurelio
dc.contributor.authorBermúdez Ampudia, Cristina
dc.contributor.authorApiñaniz Fernández de Larrinoa, Antxon ORCID
dc.contributor.authorParraza Díez, Naiara
dc.date.accessioned2024-04-22T17:21:24Z
dc.date.available2024-04-22T17:21:24Z
dc.date.issued2024
dc.identifier.citationAtención Primaria 56 : (2024) // Article ID 102771es_ES
dc.identifier.issn1578-1275
dc.identifier.urihttp://hdl.handle.net/10810/66850
dc.description.abstractObjective, and material and methods: A systematic review and meta-analysis was performed to evaluate the effectiveness of antidepressants in reducing the poor evolution of COVID-19 disease (a composite variable including death, hospitalization and need for mechanical ventila- tion), and mortality, according the guidelines for Systematic Reviews of Interventions published by the Cochrane library. Source of data: MEDLINE, EMBASE and COCHRANE LIBRARY were consulted up to February 25, 2022. Unpublished studies were searched on clinicaltrials.gov platform. Selection of studies: Seven masked and unmasked, observational and experimental studies evaluating death, hospitalization and need for mechanical ventilation were selected. A second subgroup analysis with mortality variable was performed. Data extraction: A full risk of bias assessment was performed addressing issues such as informa- tion and confounding bias. ROB2 and Robins-I tools for randomized and no randomized studies were employed respectively. In the quantitative analysis, the risk of publication bias, hetero- geneity, estimation of pooled measure and a sensitivity analysis was performed. The pooled final measure was calculated as odds ratio with its correspondent 95% confidence interval. A random effects model was used for this purpose due to the heterogeneity between included studies. Finally, a sensitivity analysis was performed to assess the robustness of final pooled measure. Results: Seven studies were finally considered to calculate the final pooled measure. The effect of intervention was OR 0.73; 95% CI 0.56---0.94.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectselective serotonin reuptake inhibitorses_ES
dc.subjectantidepressantses_ES
dc.subjectCovid-19es_ES
dc.titleEffectiveness of antidepressants in improving the prognosis of COVID-19: A systematic review and meta-analysises_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2023 The Authors. Published by Elsevier España, S.L.U. This is an open access article under the CC BY-NC-ND license ( http:// creativecommons.org/licenses/by-nc-nd/4.0/ )es_ES
dc.rights.holderAtribución-NoComercial-SinDerivadas 3.0 España*
dc.relation.publisherversionhttps://www.elsevier.es/es-revista-atencion-primaria-27-articulo-effectiveness-antidepressants-in-improving-prognosis-S0212656723002044es_ES
dc.identifier.doi10.1016/j.aprim.2023.102771
dc.departamentoesMedicina preventiva y salud públicaes_ES
dc.departamentoeuPrebentzio medikuntza eta osasun publikoaes_ES


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©
2023
The
Authors.
Published
by
Elsevier
España,
S.L.U.
This
is
an
open
access
article
under
the
CC
BY-NC-ND
license
(
http://
creativecommons.org/licenses/by-nc-nd/4.0/
)
Except where otherwise noted, this item's license is described as © 2023 The Authors. Published by Elsevier España, S.L.U. This is an open access article under the CC BY-NC-ND license ( http:// creativecommons.org/licenses/by-nc-nd/4.0/ )