SynthesisJournal of general internal medicine2019
Postponement of Death by Statin Use: a Systematic Review and Meta-analysis of Randomized Clinical Trials.
Synthesis in Journal of general internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Time Gained to Cardiovascular Disease by Intensive Lipid-Lowering Therapy: Results of Individual Placebo-Controlled Trials and Pooled Effects.American journal of cardiovascular drugs : drugs, devices, and other interventions · 2024Pooled it
- Article
- Genetic insights into the association of statin and newer nonstatin drug target genes with human longevity: a Mendelian randomization analysis.Lipids in health and disease · 2023Article
- What problems in health care quality should we target as the world burns around us?CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2022Article
- Diagnosis and Management of Heart Failure in Elderly Patients from Hospital Admission to Discharge: Position Paper.Journal of clinical medicine · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe average postponement of the outcome (gain in time to event) has been proposed as a measure to convey the effect of preventive medications. Among its advantages over number needed to treat and relative risk reduction is a better intuitive understanding among lay persons.
objectivesTo develop a novel approach for modeling outcome postponement achieved within a trial's duration, based on published trial data and to present a formalized meta-analysis of modeled outcome postponement for all-cause mortality in statin trials.
methodsThe outcome postponement was modeled on the basis of the hazard ratio or relative risk, the mortality rate in the placebo group and the trial's duration. Outcome postponement was subjected to a meta-analysis. We also estimated the average outcome postponement as the area between Kaplan-Meier curves. Statin trials were identified through a systematic review.
resultsThe median modeled outcome postponement was 10.0 days (interquartile range, 2.9-19.5 days). Meta-analysis of 16 trials provided a summary estimate of outcome postponement for all-cause mortality of 12.6 days, with a 95% postponement interval (PI) of 7.1-18.0. For primary, secondary, and mixed prevention trials, respectively, outcome postponements were 10.2 days (PI, 4.0-16.3), 17.4 days (PI, 6.0-28.8), and 8.5 days (PI, 1.9-15.0).
conclusionsThe modeled outcome postponement is amenable to meta-analysis and may be a useful approach for presenting the benefits of preventive interventions. Statin treatment results in a small increase of average survival within the duration of a trial. SYSTEMATIC REVIEW REGISTRATION: The systematic review was registered in PROSPERO [CRD42016037507] .
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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.