Matches in SemOpenAlex for { <https://semopenalex.org/work/W2744850819> ?p ?o ?g. }
- W2744850819 endingPage "1219" @default.
- W2744850819 startingPage "1213" @default.
- W2744850819 abstract "Purpose Clustering of patients in databases is usually ignored in one-stage meta-analysis of multi-database studies using matched case-control data. The aim of this study was to compare bias and efficiency of such a one-stage meta-analysis with a two-stage meta-analysis. Methods First, we compared the approaches by generating matched case-control data under 5 simulated scenarios, built by varying: (1) the exposure-outcome association; (2) its variability among databases; (3) the confounding strength of one covariate on this association; (4) its variability; and (5) the (heterogeneous) confounding strength of two covariates. Second, we made the same comparison using empirical data from the ARITMO project, a multiple database study investigating the risk of ventricular arrhythmia following the use of medications with arrhythmogenic potential. In our study, we specifically investigated the effect of current use of promethazine. Results Bias increased for one-stage meta-analysis with increasing (1) between-database variance of exposure effect and (2) heterogeneous confounding generated by two covariates. The efficiency of one-stage meta-analysis was slightly lower than that of two-stage meta-analysis for the majority of investigated scenarios. Based on ARITMO data, there were no evident differences between one-stage (OR = 1.50, CI = [1.08; 2.08]) and two-stage (OR = 1.55, CI = [1.12; 2.16]) approaches. Conclusions When the effect of interest is heterogeneous, a one-stage meta-analysis ignoring clustering gives biased estimates. Two-stage meta-analysis generates estimates at least as accurate and precise as one-stage meta-analysis. However, in a study using small databases and rare exposures and/or outcomes, a correct one-stage meta-analysis becomes essential." @default.
- W2744850819 created "2017-08-17" @default.
- W2744850819 creator A5032192131 @default.
- W2744850819 creator A5045075334 @default.
- W2744850819 creator A5055137783 @default.
- W2744850819 creator A5063403768 @default.
- W2744850819 creator A5064686067 @default.
- W2744850819 creator A5070504206 @default.
- W2744850819 creator A5082236476 @default.
- W2744850819 date "2017-08-11" @default.
- W2744850819 modified "2023-10-16" @default.
- W2744850819 title "Combining evidence from multiple electronic health care databases: performances of one-stage and two-stage meta-analysis in matched case-control studies" @default.
- W2744850819 cites W1264740539 @default.
- W2744850819 cites W1484976590 @default.
- W2744850819 cites W1502422538 @default.
- W2744850819 cites W1775522749 @default.
- W2744850819 cites W1841651683 @default.
- W2744850819 cites W1970876078 @default.
- W2744850819 cites W2013120557 @default.
- W2744850819 cites W2018811884 @default.
- W2744850819 cites W2019972786 @default.
- W2744850819 cites W2034026943 @default.
- W2744850819 cites W2041412209 @default.
- W2744850819 cites W2043241676 @default.
- W2744850819 cites W2045657044 @default.
- W2744850819 cites W2053237747 @default.
- W2744850819 cites W2107328434 @default.
- W2744850819 cites W2113178124 @default.
- W2744850819 cites W2148303708 @default.
- W2744850819 cites W2148384395 @default.
- W2744850819 cites W2157134953 @default.
- W2744850819 cites W2216196700 @default.
- W2744850819 cites W2315123323 @default.
- W2744850819 cites W2328067274 @default.
- W2744850819 cites W2340896450 @default.
- W2744850819 cites W2402575643 @default.
- W2744850819 cites W2477411371 @default.
- W2744850819 cites W2533466707 @default.
- W2744850819 cites W2563313380 @default.
- W2744850819 cites W2607002725 @default.
- W2744850819 cites W4243218184 @default.
- W2744850819 doi "https://doi.org/10.1002/pds.4280" @default.
- W2744850819 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28799196" @default.
- W2744850819 hasPublicationYear "2017" @default.
- W2744850819 type Work @default.
- W2744850819 sameAs 2744850819 @default.
- W2744850819 citedByCount "6" @default.
- W2744850819 countsByYear W27448508192018 @default.
- W2744850819 countsByYear W27448508192019 @default.
- W2744850819 countsByYear W27448508192020 @default.
- W2744850819 countsByYear W27448508192022 @default.
- W2744850819 countsByYear W27448508192023 @default.
- W2744850819 crossrefType "journal-article" @default.
- W2744850819 hasAuthorship W2744850819A5032192131 @default.
- W2744850819 hasAuthorship W2744850819A5045075334 @default.
- W2744850819 hasAuthorship W2744850819A5055137783 @default.
- W2744850819 hasAuthorship W2744850819A5063403768 @default.
- W2744850819 hasAuthorship W2744850819A5064686067 @default.
- W2744850819 hasAuthorship W2744850819A5070504206 @default.
- W2744850819 hasAuthorship W2744850819A5082236476 @default.
- W2744850819 hasConcept C105795698 @default.
- W2744850819 hasConcept C119043178 @default.
- W2744850819 hasConcept C124101348 @default.
- W2744850819 hasConcept C126322002 @default.
- W2744850819 hasConcept C146357865 @default.
- W2744850819 hasConcept C151730666 @default.
- W2744850819 hasConcept C2780439572 @default.
- W2744850819 hasConcept C33923547 @default.
- W2744850819 hasConcept C41008148 @default.
- W2744850819 hasConcept C71924100 @default.
- W2744850819 hasConcept C77350462 @default.
- W2744850819 hasConcept C86803240 @default.
- W2744850819 hasConcept C95190672 @default.
- W2744850819 hasConceptScore W2744850819C105795698 @default.
- W2744850819 hasConceptScore W2744850819C119043178 @default.
- W2744850819 hasConceptScore W2744850819C124101348 @default.
- W2744850819 hasConceptScore W2744850819C126322002 @default.
- W2744850819 hasConceptScore W2744850819C146357865 @default.
- W2744850819 hasConceptScore W2744850819C151730666 @default.
- W2744850819 hasConceptScore W2744850819C2780439572 @default.
- W2744850819 hasConceptScore W2744850819C33923547 @default.
- W2744850819 hasConceptScore W2744850819C41008148 @default.
- W2744850819 hasConceptScore W2744850819C71924100 @default.
- W2744850819 hasConceptScore W2744850819C77350462 @default.
- W2744850819 hasConceptScore W2744850819C86803240 @default.
- W2744850819 hasConceptScore W2744850819C95190672 @default.
- W2744850819 hasFunder F4320320300 @default.
- W2744850819 hasIssue "10" @default.
- W2744850819 hasLocation W27448508191 @default.
- W2744850819 hasLocation W27448508192 @default.
- W2744850819 hasOpenAccess W2744850819 @default.
- W2744850819 hasPrimaryLocation W27448508191 @default.
- W2744850819 hasRelatedWork W1975567997 @default.
- W2744850819 hasRelatedWork W1975652640 @default.
- W2744850819 hasRelatedWork W1991943965 @default.
- W2744850819 hasRelatedWork W2118121774 @default.
- W2744850819 hasRelatedWork W2159767831 @default.
- W2744850819 hasRelatedWork W2460856951 @default.