Framework for Exploration of Statistical Heterogeneity in Multi-Database Studies: A Case Study Using EXACOS-CV Studies
Kirsty Marie Rhodes,1 Edeltraut Garbe,2 Hana Müllerová,3 Paul Ekwaru,4 Nils Kossack,5 Brenda N Baak,6 Muriel Lobier,7 Nathaniel M Hawkins,8 Clementine Nordon3 1Real-World Science and Analytics, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK; 2Leibniz Institute for Prevention Research and Epi...
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Dove Medical Press
2025-06-01
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| author | Rhodes KM Garbe E Müllerová H Ekwaru P Kossack N Baak BN Lobier M Hawkins NM Nordon C |
| author_facet | Rhodes KM Garbe E Müllerová H Ekwaru P Kossack N Baak BN Lobier M Hawkins NM Nordon C |
| author_sort | Rhodes KM |
| collection | DOAJ |
| description | Kirsty Marie Rhodes,1 Edeltraut Garbe,2 Hana Müllerová,3 Paul Ekwaru,4 Nils Kossack,5 Brenda N Baak,6 Muriel Lobier,7 Nathaniel M Hawkins,8 Clementine Nordon3 1Real-World Science and Analytics, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK; 2Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany; 3Respiratory Evidence Strategy, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK; 4Medlior Health Outcomes Research Ltd., Calgary, AB, Canada; 5WIG2 Institute, Leipzig, Germany; 6PHARMO Institute for Drug Outcomes Research, Utrecht, Netherlands; 7Biostatistics, Real World Solutions, IQVIA, Espoo, Finland; 8Division of Cardiology, Centre for Cardiovascular Innovation, University of British Columbia, Vancouver, BC, CanadaCorrespondence: Kirsty Marie Rhodes, AstraZeneca, Academy House, Hills Road, Cambridge, CB2 8PA, United Kingdom, Email kirsty.rhodes@astrazeneca.comPurpose: Multi-database studies may provide heterogeneous results despite using common protocols, leading to challenges in interpretation, but also providing an opportunity to gain insights on populations or healthcare systems. The objectives of these analyses were to develop a framework for exploring sources of statistical heterogeneity and apply it to the multi-database EXACOS-CV (EXAcerbations of COPD and their OutcomeS on CardioVascular diseases) program.Methods: A conceptual framework to systematically assess sources of statistical heterogeneity in multi-database studies was developed. This framework distinguishes between methodological diversity and true clinical variation. Methodological diversity includes differences in study design and database selection, while true variation considers population and healthcare differences. Possible sources of methodological diversity were identified via a novel checklist and explored. In turn, hypotheses were generated about true variation. The framework and checklist were applied to EXACOS-CV cohort studies in Germany, Canada, the Netherlands, and Spain which deviated least from the common protocol and so were included. Focus was on adjusted hazard ratios (aHR) for post-exacerbation associations with decompensated heart failure (HF) and all-cause death, for which results were most and least heterogeneous, respectively.Results: Across EXACOS-CV studies, the adjusted hazard ratios (aHR) for HF in the first 1– 7 days post-exacerbation, compared to non-exacerbation periods, ranged from 2.6 (95% CI, 2.3, 2.9) in Germany to 72.3 (64.4, 81.2) in Canada, and the association with death, relative to non-exacerbation periods, ranged from 3.5 (2.4, 5.3) in the Netherlands to 22.1 (19.9, 24.4) in Spain. Completed methodological diversity checklists linked differences in aHRs to possible variation in ability to capture pre-existing cardiovascular comorbidities across studies, as well as differences in confounder measurement. Standardizing adjusted models across studies did not fully explain heterogeneity, suggesting other contributing factors. Heterogeneity may result from genuine variation in prevalence of CV disease. It was hypothesized that patients with pre-existing CV disease have more accurate diagnoses and management of post-exacerbation CV events, possibly leading to lower risks of such events.Conclusion: Multi-database studies can provide directional insights on the study research question while considering healthcare system and population differences. The developed framework aids assessment of heterogeneity sources.Keywords: heterogeneity, multi-database study, real-world data, chronic obstructive pulmonary disease, exacerbation, cardiovascular outcomes |
| format | Article |
| id | doaj-art-74575fbccda24126bc0a18969e18bc5c |
| institution | Kabale University |
| issn | 1179-1349 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Dove Medical Press |
| record_format | Article |
| series | Clinical Epidemiology |
| spelling | doaj-art-74575fbccda24126bc0a18969e18bc5c2025-08-20T03:29:49ZengDove Medical PressClinical Epidemiology1179-13492025-06-01Volume 17Issue 1551565103898Framework for Exploration of Statistical Heterogeneity in Multi-Database Studies: A Case Study Using EXACOS-CV StudiesRhodes KM0Garbe E1Müllerová H2Ekwaru PKossack NBaak BN3Lobier M4Hawkins NM5Nordon C6Real-world Science and Analytics, BioPharmaceuticals MedicalDepartment Clinical EpidemiologyRespiratory Evidence Strategy, BioPharmaceuticals MedicalResearchBiostatistics, Real World SolutionsDivision of Cardiology, Centre for Cardiovascular InnovationRespiratory Evidence Strategy, BioPharmaceuticals MedicalKirsty Marie Rhodes,1 Edeltraut Garbe,2 Hana Müllerová,3 Paul Ekwaru,4 Nils Kossack,5 Brenda N Baak,6 Muriel Lobier,7 Nathaniel M Hawkins,8 Clementine Nordon3 1Real-World Science and Analytics, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK; 2Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany; 3Respiratory Evidence Strategy, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK; 4Medlior Health Outcomes Research Ltd., Calgary, AB, Canada; 5WIG2 Institute, Leipzig, Germany; 6PHARMO Institute for Drug Outcomes Research, Utrecht, Netherlands; 7Biostatistics, Real World Solutions, IQVIA, Espoo, Finland; 8Division of Cardiology, Centre for Cardiovascular Innovation, University of British Columbia, Vancouver, BC, CanadaCorrespondence: Kirsty Marie Rhodes, AstraZeneca, Academy House, Hills Road, Cambridge, CB2 8PA, United Kingdom, Email kirsty.rhodes@astrazeneca.comPurpose: Multi-database studies may provide heterogeneous results despite using common protocols, leading to challenges in interpretation, but also providing an opportunity to gain insights on populations or healthcare systems. The objectives of these analyses were to develop a framework for exploring sources of statistical heterogeneity and apply it to the multi-database EXACOS-CV (EXAcerbations of COPD and their OutcomeS on CardioVascular diseases) program.Methods: A conceptual framework to systematically assess sources of statistical heterogeneity in multi-database studies was developed. This framework distinguishes between methodological diversity and true clinical variation. Methodological diversity includes differences in study design and database selection, while true variation considers population and healthcare differences. Possible sources of methodological diversity were identified via a novel checklist and explored. In turn, hypotheses were generated about true variation. The framework and checklist were applied to EXACOS-CV cohort studies in Germany, Canada, the Netherlands, and Spain which deviated least from the common protocol and so were included. Focus was on adjusted hazard ratios (aHR) for post-exacerbation associations with decompensated heart failure (HF) and all-cause death, for which results were most and least heterogeneous, respectively.Results: Across EXACOS-CV studies, the adjusted hazard ratios (aHR) for HF in the first 1– 7 days post-exacerbation, compared to non-exacerbation periods, ranged from 2.6 (95% CI, 2.3, 2.9) in Germany to 72.3 (64.4, 81.2) in Canada, and the association with death, relative to non-exacerbation periods, ranged from 3.5 (2.4, 5.3) in the Netherlands to 22.1 (19.9, 24.4) in Spain. Completed methodological diversity checklists linked differences in aHRs to possible variation in ability to capture pre-existing cardiovascular comorbidities across studies, as well as differences in confounder measurement. Standardizing adjusted models across studies did not fully explain heterogeneity, suggesting other contributing factors. Heterogeneity may result from genuine variation in prevalence of CV disease. It was hypothesized that patients with pre-existing CV disease have more accurate diagnoses and management of post-exacerbation CV events, possibly leading to lower risks of such events.Conclusion: Multi-database studies can provide directional insights on the study research question while considering healthcare system and population differences. The developed framework aids assessment of heterogeneity sources.Keywords: heterogeneity, multi-database study, real-world data, chronic obstructive pulmonary disease, exacerbation, cardiovascular outcomeshttps://www.dovepress.com/framework-for-exploration-of-statistical-heterogeneity-in-multi-databa-peer-reviewed-fulltext-article-CLEPheterogeneitymulti-database studyreal-world datachronic obstructive pulmonary diseaseexacerbationcardiovascular risk |
| spellingShingle | Rhodes KM Garbe E Müllerová H Ekwaru P Kossack N Baak BN Lobier M Hawkins NM Nordon C Framework for Exploration of Statistical Heterogeneity in Multi-Database Studies: A Case Study Using EXACOS-CV Studies Clinical Epidemiology heterogeneity multi-database study real-world data chronic obstructive pulmonary disease exacerbation cardiovascular risk |
| title | Framework for Exploration of Statistical Heterogeneity in Multi-Database Studies: A Case Study Using EXACOS-CV Studies |
| title_full | Framework for Exploration of Statistical Heterogeneity in Multi-Database Studies: A Case Study Using EXACOS-CV Studies |
| title_fullStr | Framework for Exploration of Statistical Heterogeneity in Multi-Database Studies: A Case Study Using EXACOS-CV Studies |
| title_full_unstemmed | Framework for Exploration of Statistical Heterogeneity in Multi-Database Studies: A Case Study Using EXACOS-CV Studies |
| title_short | Framework for Exploration of Statistical Heterogeneity in Multi-Database Studies: A Case Study Using EXACOS-CV Studies |
| title_sort | framework for exploration of statistical heterogeneity in multi database studies a case study using exacos cv studies |
| topic | heterogeneity multi-database study real-world data chronic obstructive pulmonary disease exacerbation cardiovascular risk |
| url | https://www.dovepress.com/framework-for-exploration-of-statistical-heterogeneity-in-multi-databa-peer-reviewed-fulltext-article-CLEP |
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