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Systematic comparison of Mendelian randomisation studies and randomised controlled trials using electronic databases.
Sobczyk, Maria K; Zheng, Jie; Davey Smith, George; Gaunt, Tom R.
Afiliación
  • Sobczyk MK; MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK maria.sobczyk@bristol.ac.uk.
  • Zheng J; MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK.
  • Davey Smith G; Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
  • Gaunt TR; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong Univers
BMJ Open ; 13(9): e072087, 2023 Sep 26.
Article en En | MEDLINE | ID: mdl-37751957
OBJECTIVE: To scope the potential for (semi)-automated triangulation of Mendelian randomisation (MR) and randomised controlled trials (RCTs) evidence since the two methods have distinct assumptions that make comparisons between their results invaluable. METHODS: We mined ClinicalTrials.Gov, PubMed and EpigraphDB databases and carried out a series of 26 manual literature comparisons among 54 MR and 77 RCT publications. RESULTS: We found that only 13% of completed RCTs identified in ClinicalTrials.Gov submitted their results to the database. Similarly low coverage was revealed for Semantic Medline (SemMedDB) semantic triples derived from MR and RCT publications -36% and 12%, respectively. Among intervention types that can be mimicked by MR, only trials of pharmaceutical interventions could be automatically matched to MR results due to insufficient annotation with Medical Subject Headings ontology. A manual survey of the literature highlighted the potential for triangulation across a number of exposure/outcome pairs if these challenges can be addressed. CONCLUSIONS: We conclude that careful triangulation of MR with RCT evidence should involve consideration of similarity of phenotypes across study designs, intervention intensity and duration, study population demography and health status, comparator group, intervention goal and quality of evidence.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Clinical_trials / Guideline Idioma: En Revista: BMJ Open Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Clinical_trials / Guideline Idioma: En Revista: BMJ Open Año: 2023 Tipo del documento: Article