Can analyses of electronic patient records be independently and externally validated? The effect of statins on the mortality of patients with ischaemic heart disease: a cohort study with nested case–control analysis
Objective To conduct a fully independent and external validation of a research study based on one electronic health record database, using a different electronic database sampling the same population. Design Using the Clinical Practice Research Datalink (CPRD), we replicated a published investigatio...
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Published in | BMJ open Vol. 4; no. 4; p. e004952 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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England
BMJ Publishing Group LTD
23.04.2014
BMJ Publishing Group |
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Online Access | Get full text |
ISSN | 2044-6055 2044-6055 |
DOI | 10.1136/bmjopen-2014-004952 |
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Abstract | Objective To conduct a fully independent and external validation of a research study based on one electronic health record database, using a different electronic database sampling the same population. Design Using the Clinical Practice Research Datalink (CPRD), we replicated a published investigation into the effects of statins in patients with ischaemic heart disease (IHD) by a different research team using QResearch. We replicated the original methods and analysed all-cause mortality using: (1) a cohort analysis and (2) a case-control analysis nested within the full cohort. Setting Electronic health record databases containing longitudinal patient consultation data from large numbers of general practices distributed throughout the UK. Participants CPRD data for 34 925 patients with IHD from 224 general practices, compared to previously published results from QResearch for 13 029 patients from 89 general practices. The study period was from January 1996 to December 2003. Results We successfully replicated the methods of the original study very closely. In a cohort analysis, risk of death was lower by 55% for patients on statins, compared with 53% for QResearch (adjusted HR 0.45, 95% CI 0.40 to 0.50; vs 0.47, 95% CI 0.41 to 0.53). In case-control analyses, patients on statins had a 31% lower odds of death, compared with 39% for QResearch (adjusted OR 0.69, 95% CI 0.63 to 0.75; vs OR 0.61, 95% CI 0.52 to 0.72). Results were also close for individual statins. Conclusions Database differences in population characteristics and in data definitions, recording, quality and completeness had a minimal impact on key statistical outputs. The results uphold the validity of research using CPRD and QResearch by providing independent evidence that both datasets produce very similar estimates of treatment effect, leading to the same clinical and policy decisions. Together with other non-independent replication studies, there is a nascent body of evidence for wider validity. |
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AbstractList | Objective To conduct a fully independent and external validation of a research study based on one electronic health record database, using a different electronic database sampling the same population. Design Using the Clinical Practice Research Datalink (CPRD), we replicated a published investigation into the effects of statins in patients with ischaemic heart disease (IHD) by a different research team using QResearch. We replicated the original methods and analysed all-cause mortality using: (1) a cohort analysis and (2) a case-control analysis nested within the full cohort. Setting Electronic health record databases containing longitudinal patient consultation data from large numbers of general practices distributed throughout the UK. Participants CPRD data for 34 925 patients with IHD from 224 general practices, compared to previously published results from QResearch for 13 029 patients from 89 general practices. The study period was from January 1996 to December 2003. Results We successfully replicated the methods of the original study very closely. In a cohort analysis, risk of death was lower by 55% for patients on statins, compared with 53% for QResearch (adjusted HR 0.45, 95% CI 0.40 to 0.50; vs 0.47, 95% CI 0.41 to 0.53). In case-control analyses, patients on statins had a 31% lower odds of death, compared with 39% for QResearch (adjusted OR 0.69, 95% CI 0.63 to 0.75; vs OR 0.61, 95% CI 0.52 to 0.72). Results were also close for individual statins. Conclusions Database differences in population characteristics and in data definitions, recording, quality and completeness had a minimal impact on key statistical outputs. The results uphold the validity of research using CPRD and QResearch by providing independent evidence that both datasets produce very similar estimates of treatment effect, leading to the same clinical and policy decisions. Together with other non-independent replication studies, there is a nascent body of evidence for wider validity. To conduct a fully independent and external validation of a research study based on one electronic health record database, using a different electronic database sampling the same population. Using the Clinical Practice Research Datalink (CPRD), we replicated a published investigation into the effects of statins in patients with ischaemic heart disease (IHD) by a different research team using QResearch. We replicated the original methods and analysed all-cause mortality using: (1) a cohort analysis and (2) a case-control analysis nested within the full cohort. Electronic health record databases containing longitudinal patient consultation data from large numbers of general practices distributed throughout the UK. CPRD data for 34 925 patients with IHD from 224 general practices, compared to previously published results from QResearch for 13 029 patients from 89 general practices. The study period was from January 1996 to December 2003. We successfully replicated the methods of the original study very closely. In a cohort analysis, risk of death was lower by 55% for patients on statins, compared with 53% for QResearch (adjusted HR 0.45, 95% CI 0.40 to 0.50; vs 0.47, 95% CI 0.41 to 0.53). In case-control analyses, patients on statins had a 31% lower odds of death, compared with 39% for QResearch (adjusted OR 0.69, 95% CI 0.63 to 0.75; vs OR 0.61, 95% CI 0.52 to 0.72). Results were also close for individual statins. Database differences in population characteristics and in data definitions, recording, quality and completeness had a minimal impact on key statistical outputs. The results uphold the validity of research using CPRD and QResearch by providing independent evidence that both datasets produce very similar estimates of treatment effect, leading to the same clinical and policy decisions. Together with other non-independent replication studies, there is a nascent body of evidence for wider validity. To conduct a fully independent and external validation of a research study based on one electronic health record database, using a different electronic database sampling the same population.OBJECTIVETo conduct a fully independent and external validation of a research study based on one electronic health record database, using a different electronic database sampling the same population.Using the Clinical Practice Research Datalink (CPRD), we replicated a published investigation into the effects of statins in patients with ischaemic heart disease (IHD) by a different research team using QResearch. We replicated the original methods and analysed all-cause mortality using: (1) a cohort analysis and (2) a case-control analysis nested within the full cohort.DESIGNUsing the Clinical Practice Research Datalink (CPRD), we replicated a published investigation into the effects of statins in patients with ischaemic heart disease (IHD) by a different research team using QResearch. We replicated the original methods and analysed all-cause mortality using: (1) a cohort analysis and (2) a case-control analysis nested within the full cohort.Electronic health record databases containing longitudinal patient consultation data from large numbers of general practices distributed throughout the UK.SETTINGElectronic health record databases containing longitudinal patient consultation data from large numbers of general practices distributed throughout the UK.CPRD data for 34 925 patients with IHD from 224 general practices, compared to previously published results from QResearch for 13 029 patients from 89 general practices. The study period was from January 1996 to December 2003.PARTICIPANTSCPRD data for 34 925 patients with IHD from 224 general practices, compared to previously published results from QResearch for 13 029 patients from 89 general practices. The study period was from January 1996 to December 2003.We successfully replicated the methods of the original study very closely. In a cohort analysis, risk of death was lower by 55% for patients on statins, compared with 53% for QResearch (adjusted HR 0.45, 95% CI 0.40 to 0.50; vs 0.47, 95% CI 0.41 to 0.53). In case-control analyses, patients on statins had a 31% lower odds of death, compared with 39% for QResearch (adjusted OR 0.69, 95% CI 0.63 to 0.75; vs OR 0.61, 95% CI 0.52 to 0.72). Results were also close for individual statins.RESULTSWe successfully replicated the methods of the original study very closely. In a cohort analysis, risk of death was lower by 55% for patients on statins, compared with 53% for QResearch (adjusted HR 0.45, 95% CI 0.40 to 0.50; vs 0.47, 95% CI 0.41 to 0.53). In case-control analyses, patients on statins had a 31% lower odds of death, compared with 39% for QResearch (adjusted OR 0.69, 95% CI 0.63 to 0.75; vs OR 0.61, 95% CI 0.52 to 0.72). Results were also close for individual statins.Database differences in population characteristics and in data definitions, recording, quality and completeness had a minimal impact on key statistical outputs. The results uphold the validity of research using CPRD and QResearch by providing independent evidence that both datasets produce very similar estimates of treatment effect, leading to the same clinical and policy decisions. Together with other non-independent replication studies, there is a nascent body of evidence for wider validity.CONCLUSIONSDatabase differences in population characteristics and in data definitions, recording, quality and completeness had a minimal impact on key statistical outputs. The results uphold the validity of research using CPRD and QResearch by providing independent evidence that both datasets produce very similar estimates of treatment effect, leading to the same clinical and policy decisions. Together with other non-independent replication studies, there is a nascent body of evidence for wider validity. ObjectiveTo conduct a fully independent and external validation of a research study based on one electronic health record database, using a different electronic database sampling the same population.DesignUsing the Clinical Practice Research Datalink (CPRD), we replicated a published investigation into the effects of statins in patients with ischaemic heart disease (IHD) by a different research team using QResearch. We replicated the original methods and analysed all-cause mortality using: (1) a cohort analysis and (2) a case-control analysis nested within the full cohort.SettingElectronic health record databases containing longitudinal patient consultation data from large numbers of general practices distributed throughout the UK.ParticipantsCPRD data for 34 925 patients with IHD from 224 general practices, compared to previously published results from QResearch for 13 029 patients from 89 general practices. The study period was from January 1996 to December 2003.ResultsWe successfully replicated the methods of the original study very closely. In a cohort analysis, risk of death was lower by 55% for patients on statins, compared with 53% for QResearch (adjusted HR 0.45, 95% CI 0.40 to 0.50; vs 0.47, 95% CI 0.41 to 0.53). In case-control analyses, patients on statins had a 31% lower odds of death, compared with 39% for QResearch (adjusted OR 0.69, 95% CI 0.63 to 0.75; vs OR 0.61, 95% CI 0.52 to 0.72). Results were also close for individual statins.ConclusionsDatabase differences in population characteristics and in data definitions, recording, quality and completeness had a minimal impact on key statistical outputs. The results uphold the validity of research using CPRD and QResearch by providing independent evidence that both datasets produce very similar estimates of treatment effect, leading to the same clinical and policy decisions. Together with other non-independent replication studies, there is a nascent body of evidence for wider validity. |
Author | Doran, Tim Kontopantelis, Evangelos Ashcroft, Darren M Morris, Richard Springate, David A Reeves, David Ryan, Ronan Olier, Ivan |
AuthorAffiliation | 4 Primary Care Clinical Sciences, School of Health and Population Sciences, University of Birmingham , Birmingham , UK 5 Department of Health Sciences , University of York , York , UK 7 Institute of Biotechnology, School of Computer Science, University of Manchester , Manchester , UK 1 NIHR School for Primary Care Research, Centre for Primary Care, Institute of Population Health, University of Manchester , Manchester , UK 6 Department of Primary Care and Population Health , Institute of Epidemiology and Health, University College London , London , UK 8 Centre for Health Informatics, Institute of Population Health, University of Manchester , Manchester , UK 3 Centre for Pharmacoepidemiology and Drug Safety Research, Manchester Pharmacy School, University of Manchester , Manchester , UK 2 Centre for Biostatistics, Institute of Population Health, University of Manchester , Manchester , UK |
AuthorAffiliation_xml | – name: 3 Centre for Pharmacoepidemiology and Drug Safety Research, Manchester Pharmacy School, University of Manchester , Manchester , UK – name: 4 Primary Care Clinical Sciences, School of Health and Population Sciences, University of Birmingham , Birmingham , UK – name: 5 Department of Health Sciences , University of York , York , UK – name: 2 Centre for Biostatistics, Institute of Population Health, University of Manchester , Manchester , UK – name: 1 NIHR School for Primary Care Research, Centre for Primary Care, Institute of Population Health, University of Manchester , Manchester , UK – name: 8 Centre for Health Informatics, Institute of Population Health, University of Manchester , Manchester , UK – name: 6 Department of Primary Care and Population Health , Institute of Epidemiology and Health, University College London , London , UK – name: 7 Institute of Biotechnology, School of Computer Science, University of Manchester , Manchester , UK |
Author_xml | – sequence: 1 givenname: David surname: Reeves fullname: Reeves, David email: david.reeves@manchester.ac.uk organization: Centre for Biostatistics, Institute of Population Health, University of Manchester, Manchester, UK – sequence: 2 givenname: David A surname: Springate fullname: Springate, David A email: david.reeves@manchester.ac.uk organization: Centre for Biostatistics, Institute of Population Health, University of Manchester, Manchester, UK – sequence: 3 givenname: Darren M surname: Ashcroft fullname: Ashcroft, Darren M email: david.reeves@manchester.ac.uk organization: Centre for Pharmacoepidemiology and Drug Safety Research, Manchester Pharmacy School, University of Manchester, Manchester, UK – sequence: 4 givenname: Ronan surname: Ryan fullname: Ryan, Ronan email: david.reeves@manchester.ac.uk organization: Primary Care Clinical Sciences, School of Health and Population Sciences, University of Birmingham, Birmingham, UK – sequence: 5 givenname: Tim surname: Doran fullname: Doran, Tim email: david.reeves@manchester.ac.uk organization: Department of Health Sciences, University of York, York, UK – sequence: 6 givenname: Richard surname: Morris fullname: Morris, Richard email: david.reeves@manchester.ac.uk organization: Department of Primary Care and Population Health, Institute of Epidemiology and Health, University College London, London, UK – sequence: 7 givenname: Ivan surname: Olier fullname: Olier, Ivan email: david.reeves@manchester.ac.uk organization: Institute of Biotechnology, School of Computer Science, University of Manchester, Manchester, UK – sequence: 8 givenname: Evangelos surname: Kontopantelis fullname: Kontopantelis, Evangelos email: david.reeves@manchester.ac.uk organization: Centre for Health Informatics, Institute of Population Health, University of Manchester, Manchester, UK |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/24760353$$D View this record in MEDLINE/PubMed |
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Snippet | Objective To conduct a fully independent and external validation of a research study based on one electronic health record database, using a different... To conduct a fully independent and external validation of a research study based on one electronic health record database, using a different electronic... ObjectiveTo conduct a fully independent and external validation of a research study based on one electronic health record database, using a different... |
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SubjectTerms | Adolescent Adult Age Factors Aged Aged, 80 and over Bias Cardiovascular disease Case-Control Studies Child Child, Preschool Clinical medicine Databases, Factual Datasets Diabetes Complications Electronic Health Records Female General practice / Family practice Hay fever Humans Hydroxymethylglutaryl-CoA Reductase Inhibitors - therapeutic use Infant Infant, Newborn Kaplan-Meier Estimate Male Methods Middle Aged Mortality Myocardial Ischemia - drug therapy Myocardial Ischemia - mortality Researchers Risk Factors Sex Factors Studies United Kingdom Validity Young Adult |
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Title | Can analyses of electronic patient records be independently and externally validated? The effect of statins on the mortality of patients with ischaemic heart disease: a cohort study with nested case–control analysis |
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