SynthesisIntensive care medicine2010
Propensity scores in intensive care and anaesthesiology literature: a systematic review.
Synthesis in Intensive care medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 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.
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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
49 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Propensity score matching in otolaryngologic literature: A systematic review and critical appraisal.PloS one · 2020Pooled it
- A systematic review of propensity score methods in the acute care surgery literature: avoiding the pitfalls and proposing a set of reporting guidelines.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2018Pooled it
- Epinephrine and short-term survival in cardiogenic shock: an individual data meta-analysis of 2583 patients.Intensive care medicine · 2018Pooled it
- Benefit profile of anticoagulant therapy in sepsis: a nationwide multicentre registry in Japan.Critical care (London, England) · 2016Trial
- Severe and multiple hypoglycemic episodes are associated with increased risk of death in ICU patients.Critical care (London, England) · 2015Trial
- Checking methodology and statistics when reading an observational study.Intensive care medicine · 2026Article
- Universal same-day discharge after colonic resection: a matched cohort study.Updates in surgery · 2025Article
- Controversial efficacy of antithrombin followed by recombinant thrombomodulin administration in patients with sepsis-induced disseminated intravascular coagulation: an analysis of postmarketing surveillance data.Thrombosis journal · 2025Article
- Propensity score matching after multiple imputation when a confounder has missing data.Statistics in medicine · 2023Article
- Goal-Directed Fluid Therapy and major postoperative complications in elective craniotomy. A retrospective analysis of a before-after multicentric study.BMC anesthesiology · 2023Article
- Association between increased mortality and bronchial fibroscopy in intensive care units and intermediate care units during COPD exacerbations: an analysis of the 2014 and 2015 National French Medical-based Information System Databases (PMSI).Journal of intensive care · 2021Article
- Convalescent plasma therapy and mortality in COVID-19 patients admitted to the ICU: a prospective observational study.Annals of intensive care · 2021Article
- Haloperidol and Quetiapine for the Treatment of ICU-Associated Delirium in a Tertiary Pediatric ICU: A Propensity Score-Matched Cohort Study.Paediatric drugs · 2021Article
- G-computation, propensity score-based methods, and targeted maximum likelihood estimator for causal inference with different covariates sets: a comparative simulation study.Scientific reports · 2020Article
- A review of the use of propensity score diagnostics in papers published in high-ranking medical journals.BMC medical research methodology · 2020Review
- Using propensity score matching with doses in observational studies: An example from a child physical abuse and sleep quality study.Research in nursing & health · 2019Observational
- Tracheostomy and long-term mortality in ICU patients undergoing prolonged mechanical ventilation.PloS one · 2019Observational
- Balance diagnostics after propensity score matching.Annals of translational medicine · 2019Article
- Association of Intraventricular Hemorrhage and Death With Tocolytic Exposure in Preterm Infants.JAMA network open · 2018Article
- Optimal Antithrombin Activity Threshold for Initiating Antithrombin Supplementation in Patients With Sepsis-Induced Disseminated Intravascular Coagulation: A Multicenter Retrospective Observational Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis · 2018Observational
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPropensity score methods have been increasingly used in the last 10 years. However, the practical use of the propensity score (PS) has been reported as heterogeneous in several papers reviewing the use of propensity scores and giving some advice. No precedent work has focused on the specific application of PS in intensive care and anaesthesiology literature.
objectivesAfter a brief development of the theory of propensity score, to assess the use and the quality of reporting of PS studies in intensive care and anaesthesiology, and to evaluate how past reviews have influenced the quality of the reporting. STUDY DESIGN AND
settingForty-seven articles published between 2006 and 2009 in the intensive care and anaesthesiology literature were evaluated. We extracted the characteristics of the report, the type of analysis, the details of matching procedures, the number of patients in treated and control groups, and the number of covariates included in the PS models.
resultsOf the 47 articles reviewed, 26 used matching on PS, 12 used stratification on PS and 9 used adjustment on PS. The method used was reported in 81% of the articles, and the choice to conduct a paired analysis or not was reported in only 15%. The comparison with the previously published reviews showed little improvement in reporting in the last few years.
conclusionThe quality of reporting propensity scores in intensive care and anaesthesiology literature should be improved. We provide some recommendations to the investigators in order to improve the reporting of PS analyses.
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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.