SynthesisPharmacoepidemiology and drug safety2014
Application of marginal structural models in pharmacoepidemiologic studies: a systematic review.
Synthesis in Pharmacoepidemiology and drug safety, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Comment on, "Long-term outcome of tailored antithrombotic therapy based on platelet function testing in patients undergoing percutaneous coronary intervention: a 5-year retrospective cohort study".Heart and vessels · 2026Article
- Substance Checking Outreach and PrEP Engagement (SCOPE) Study: protocol for a non-randomised clinical trialBMJ open · 2025Article
- Estimating marginal structural model parameters for time-fixed, binary actions with g-computation and estimating equations.American journal of epidemiology · 2025Article
- Multicenter Analysis of Dosing Protocols for Sotalol Initiation.Journal of cardiovascular pharmacology and therapeutics · 2020Observational
- Testing the Effectiveness and Cost-Effectiveness of a Combination HIV Prevention Intervention Among Young Cisgender Men Who Have Sex With Men and Transgender Women Who Sell or Exchange Sex in Thailand: Protocol for the Combination Prevention Effectiveness Study.JMIR research protocols · 2020Article
- Cardiovascular effect of discontinuing statins for primary prevention at the age of 75 years: a nationwide population-based cohort study in France.European heart journal · 2019 · on this mapObservational
- Missing Data in Marginal Structural Models: A Plasmode Simulation Study Comparing Multiple Imputation and Inverse Probability Weighting.Medical care · 2019Article
- Daring to draw causal claims from non-randomized studies of primary care interventions.Family practice · 2018Article
- Comparative cardiovascular safety of nonsteroidal anti-inflammatory drugs in patients with hypertension: a population-based cohort study.British journal of clinical pharmacology · 2018Article
- Launching Effectiveness Research to Guide Practice in Neurosurgery: A National Institute Neurological Disorders and Stroke Workshop Report.Neurosurgery · 2017Article
- The impact of adherence to inhaled drugs on 5-year survival in COPD patients: a time dependent approach.Pharmacoepidemiology and drug safety · 2016Article
- Diagnostics for Confounding of Time-varying and Other Joint Exposures.Epidemiology (Cambridge, Mass.) · 2016Article
- Continuous renal replacement therapy versus intermittent hemodialysis in intensive care patients: impact on mortality and renal recovery.Intensive care medicine · 2016Observational
- What's new in the quantification of causal effects from longitudinal cohort studies: a brief introduction to marginal structural models for intensivists.Intensive care medicine · 2016Article
- The Choice of Analytical Strategies in Inverse-Probability-of-Treatment-Weighted Analysis: A Simulation Study.American journal of epidemiology · 2015Article
- Severe COPD Exacerbation Risk and Long-Acting Bronchodilator Treatments: Comparison of Three Observational Data Analysis Methods.Drugs - real world outcomes · 2015Article
- Addressing limitations in observational studies of the association between glucose-lowering medications and all-cause mortality: a review.Drug safety · 2015Review
- Comparing a marginal structural model with a Cox proportional hazard model to estimate the effect of time-dependent drug use in observational studies: statin use for primary prevention of cardiovascular disease as an example from the Rotterdam Study.European journal of epidemiology · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
purposeWe systematically reviewed pharmacoepidemiologic studies published in 2012 that used inverse probability weighted (IPW) estimation of marginal structural models (MSM) to estimate the effect from a time-varying treatment.
methodsPotential studies were retrieved through a citation search within Web of Science and a keyword search within PubMed. Eligibility of retrieved studies was independently assessed by at least two reviewers. One reviewer performed data extraction, and a senior epidemiologist confirmed the extracted information for all eligible studies.
resultsTwenty pharmacoepidemiologic studies were eligible for data extraction. The majority of reviewed studies did not report whether the positivity assumption was checked. Six studies performed intention-to-treat analyses, but none of them reported adherence levels after treatment initiation. Eight studies chose an as-treated analytic strategy, but only one of them reported modeling the multiphase of treatment use. Almost all studies performing as-treated analyses chose the most recent treatment status as the functional form of exposure in the outcome model. Nearly half of the studies reported that the IPW estimate was substantially different from the estimate derived from a standard regression model.
conclusionsThe use of IPW method to control for time-varying confounding is increasing in medical literature. However, reporting of the application of the technique is variable and suboptimal. It may be prudent to develop best practices in reporting complex methods in epidemiologic research.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.