ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2022
Recommendations for the use of propensity score methods in multiple sclerosis research.
Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Quantifying the increased risk of illness in malnourished children: a global meta-analysis and propensity score matching approach.Global health research and policy · 2024Pooled it
- Association between frailty and the risks of chronic pulmonary diseases and lung cancer.BMC pulmonary medicine · 2026Article
- Electroencephalogram Monitoring in Critical Care: Multicenter Analysis of Timing, Duration, and Readmissions.Critical care explorations · 2026Article
- Ocrelizumab Discontinuation vs. Continuation After Safety Events: Comparative Insights from MSBase.Current neuropharmacology · 2026Article
- Article
- Parathyroidectomy and Risk of Incident Diabetes in Patients With Primary Hyperparathyroidism.JAMA surgery · 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
- Article
- Oral Antibiotics Alone versus Oral Antibiotics Combined with Mechanical Bowel Preparation for Elective Colorectal Surgery: A Propensity Score-Matching Re-Analysis of the iCral 2 and 3 Prospective Cohorts.Antibiotics (Basel, Switzerland) · 2024Article
- Visualizing the target estimand in comparative effectiveness studies with multiple treatments.Journal of comparative effectiveness research · 2024Article
- Abdominal drainage after elective colorectal surgery: propensity score-matched retrospective analysis of an Italian cohort.BJS open · 2024Article
- Five-year efficacy outcomes of ocrelizumab in relapsing multiple sclerosis: A propensity-matched comparison of the OPERA studies with other disease-modifying therapies in real-world lines of treatments.Journal of central nervous system disease · 2024Article
- How to use the Surveillance, Epidemiology, and End Results (SEER) data: research design and methodology.Military Medical Research · 2023Review
- COPP-MS: COrticosteroids during the Post-Partum in relapsing Multiple Sclerosis patients.Journal of neurology · 2022Article
- Real-world effectiveness of high-efficacy therapies in multiple sclerosis: a propensity score-matched cohort study.Frontiers in neurologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWith many disease-modifying therapies currently approved for the management of multiple sclerosis, there is a growing need to evaluate the comparative effectiveness and safety of those therapies from real-world data sources. Propensity score methods have recently gained popularity in multiple sclerosis research to generate real-world evidence. Recent evidence suggests, however, that the conduct and reporting of propensity score analyses are often suboptimal in multiple sclerosis studies.
objectivesTo provide practical guidance to clinicians and researchers on the use of propensity score methods within the context of multiple sclerosis research.
methodsWe summarize recommendations on the use of propensity score matching and weighting based on the current methodological literature, and provide examples of good practice.
resultsStep-by-step recommendations are presented, starting with covariate selection and propensity score estimation, followed by guidance on the assessment of covariate balance and implementation of propensity score matching and weighting. Finally, we focus on treatment effect estimation and sensitivity analyses.
conclusionThis comprehensive set of recommendations highlights key elements that require careful attention when using propensity score methods.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.