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Systematic comparison of Mendelian randomisation studies and randomised controlled trials using electronic databases
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 a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533809/ https://www.ncbi.nlm.nih.gov/pubmed/37751957 http://dx.doi.org/10.1136/bmjopen-2023-072087 |
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author | Sobczyk, Maria K Zheng, Jie Davey Smith, George Gaunt, Tom R |
author_facet | Sobczyk, Maria K Zheng, Jie Davey Smith, George Gaunt, Tom R |
author_sort | Sobczyk, Maria K |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10533809 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-105338092023-09-29 Systematic comparison of Mendelian randomisation studies and randomised controlled trials using electronic databases Sobczyk, Maria K Zheng, Jie Davey Smith, George Gaunt, Tom R BMJ Open Epidemiology 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. BMJ Publishing Group 2023-09-26 /pmc/articles/PMC10533809/ /pubmed/37751957 http://dx.doi.org/10.1136/bmjopen-2023-072087 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Epidemiology Sobczyk, Maria K Zheng, Jie Davey Smith, George Gaunt, Tom R Systematic comparison of Mendelian randomisation studies and randomised controlled trials using electronic databases |
title | Systematic comparison of Mendelian randomisation studies and randomised controlled trials using electronic databases |
title_full | Systematic comparison of Mendelian randomisation studies and randomised controlled trials using electronic databases |
title_fullStr | Systematic comparison of Mendelian randomisation studies and randomised controlled trials using electronic databases |
title_full_unstemmed | Systematic comparison of Mendelian randomisation studies and randomised controlled trials using electronic databases |
title_short | Systematic comparison of Mendelian randomisation studies and randomised controlled trials using electronic databases |
title_sort | systematic comparison of mendelian randomisation studies and randomised controlled trials using electronic databases |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533809/ https://www.ncbi.nlm.nih.gov/pubmed/37751957 http://dx.doi.org/10.1136/bmjopen-2023-072087 |
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