SynthesisPharmacoepidemiology and drug safety2015
Data management and data analysis techniques in pharmacoepidemiological studies using a pre-planned multi-database approach: a systematic literature review.
Synthesis in Pharmacoepidemiology and drug safety, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
8 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A systematic review of how missing data are handled and reported in multi-database pharmacoepidemiologic studies.Pharmacoepidemiology and drug safety · 2021Pooled it
- Pooled it
- Data management and data analysis techniques in pharmacoepidemiological studies using a pre-planned multi-database approach: a systematic literature review.Pharmacoepidemiology and drug safety · 2015Pooled it
- Article
- The Role of European Healthcare Databases for Post-Marketing Drug Effectiveness, Safety and Value Evaluation: Where Does Italy Stand?Drug safety · 2019Review
- Cancer risk among insulin users: comparing analogues with human insulin in the CARING five-country cohort study.Diabetologia · 2017Article
- Lessons learned on the design and the conduct of Post-Authorization Safety Studies: review of 3 years of PRAC oversight.British journal of clinical pharmacology · 2017Article
- Observational Studies of Drug Safety in Multi-Database Studies: Methodological Challenges and Opportunities.EGEMS (Washington, DC) · 2016Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo identify pharmacoepidemiological multi-database studies and to describe data management and data analysis techniques used for combining data.
methodsSystematic literature searches were conducted in PubMed and Embase complemented by a manual literature search. We included pharmacoepidemiological multi-database studies published from 2007 onwards that combined data for a pre-planned common analysis or quantitative synthesis. Information was retrieved about study characteristics, methods used for individual-level analyses and meta-analyses, data management and motivations for performing the study.
resultsWe found 3083 articles by the systematic searches and an additional 176 by the manual search. After full-text screening of 75 articles, 22 were selected for final inclusion. The number of databases used per study ranged from 2 to 17 (median = 4.0). Most studies used a cohort design (82%) instead of a case-control design (18%). Logistic regression was most often used for individual-level analyses (41%), followed by Cox regression (23%) and Poisson regression (14%). As meta-analysis method, a majority of the studies combined individual patient data (73%). Six studies performed an aggregate meta-analysis (27%), while a semi-aggregate approach was applied in three studies (14%). Information on central programming or heterogeneity assessment was missing in approximately half of the publications. Most studies were motivated by improving power (86%).
conclusionsPharmacoepidemiological multi-database studies are a well-powered strategy to address safety issues and have increased in popularity. To be able to correctly interpret the results of these studies, it is important to systematically report on database management and analysis techniques, including central programming and heterogeneity testing.
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