ArticlePharmacoepidemiology and drug safety2023
High-dimensional propensity scores for empirical covariate selection in secondary database studies: Planning, implementation, and reporting.
Article in Pharmacoepidemiology and drug safety, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
30 citing papers in PubMed.
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- Impact of empiric potassium supplementation on mortality, sudden cardiac arrest and stroke in furosemide initiators.British journal of clinical pharmacology · 2026Article
- Methods for incorporating test result information within the high-dimensional propensity score framework: application in UK electronic health record data.BMC medical research methodology · 2026Article
- Prevalence and incidence of mental disorders among First Nations and other individuals using methamphetamine in Manitoba, Canada.Social psychiatry and psychiatric epidemiology · 2026Article
- Comparative effectiveness and safety of fluticasone-based versus beclometasone-based single-inhaler triple therapies in patients with chronic obstructive pulmonary disease: a population-based cohort study.International journal of clinical pharmacy · 2026Article
- Safety Comparison of Risk of Liver Dysfunction between Generic and Brand Statin Drugs Marketed in Japan: A Cohort Study Using MID-NET®.Therapeutic innovation & regulatory science · 2026Article
- Pharmacoepidemiology unpacked: a roadmap for junior researchers.Frontiers in pharmacology · 2026Review
- The Reporting and Methodological Recommendations for Observational Studies Estimating the Effects of Deprescribing Medications (REMROSE-D) ISPE-Endorsed Guidance.Pharmacoepidemiology and drug safety · 2025Article
- Evaluation of Methods Adjusting for Unmeasured Confounding Using Large Healthcare Databases: An Empirical Study Concerning Drugs Inducing Prematurity.Clinical and translational science · 2025Article
- Causal estimation of time-varying treatments in observational studies: a scoping review of methods, applications, and missing data practices.BMC medical research methodology · 2025Article
- Drug combination-wide association studies of cancer.Communications medicine · 2025Article
- Simultaneously Dealing With Immortal Time Bias and Residual Confounding: A Case Study of a High-Dimensional Propensity Score Approach With a Nested Case-Control Framework in Multiple Sclerosis Research.Pharmacoepidemiology and drug safety · 2025Article
- Comparative effectiveness of robot-assisted vs. open prostatectomy: a real-life nationwide study.World journal of urology · 2025Observational
- How Effective Are Machine Learning and Doubly Robust Estimators in Incorporating High-Dimensional Proxies to Reduce Residual Confounding?Pharmacoepidemiology and drug safety · 2025Article
- Risk of New-Onset Diabetes Before and During the COVID-19 Pandemic: A Real-World Cohort Study.Journal of general internal medicine · 2025Article
- Nonbenzodiazepine hypnotics and police-reported motor vehicle crash risk among older adults: a sequential target trial emulation.American journal of epidemiology · 2025Article
- The "Real-World" Effect of Anti-hyperglycemic Drugs on the Development of Chronic Kidney Disease in a Retrospective Cohort of Patients With Incident Diabetes: A Research Letter.Canadian journal of kidney health and disease · 2025Article
- Phosphodiesterase-5 Inhibitors and Dementia Risk: A Real-World Study.Neuroepidemiology · 2025Article
- Risk of Hospitalized Cardiovascular Events Associated with LAMA/LABA/ICS FDC versus LABA/ICS FDC in Patients with Chronic Obstructive Pulmonary Disease: A Nationwide Cohort Study.International journal of chronic obstructive pulmonary disease · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Real-world evidence used for regulatory, payer, and clinical decision-making requires principled epidemiology in design and analysis, applying methods to minimize confounding given the lack of randomization. One technique to deal with potential confounding is propensity score (PS) analysis, which allows for the adjustment for measured preexposure covariates. Since its first publication in 2009, the high-dimensional propensity score (hdPS) method has emerged as an approach that extends traditional PS covariate selection to include large numbers of covariates that may reduce confounding bias in the analysis of healthcare databases. hdPS is an automated, data-driven analytic approach for covariate selection that empirically identifies preexposure variables and proxies to include in the PS model. This article provides an overview of the hdPS approach and recommendations on the planning, implementation, and reporting of hdPS used for causal treatment-effect estimations in longitudinal healthcare databases. We supply a checklist with key considerations as a supportive decision tool to aid investigators in the implementation and transparent reporting of hdPS techniques, and to aid decision-makers unfamiliar with hdPS in the understanding and interpretation of studies employing this approach. This article is endorsed by the International Society for Pharmacoepidemiology.
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