ReviewMultiple sclerosis (Houndmills, Basingstoke, England)2023
Assessing heterogeneity of treatment effect in multiple sclerosis trials.
Review in Multiple sclerosis (Houndmills, Basingstoke, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- MicroRNA Expression Profiles as Biomarkers of Response to Disease-Modifying Therapies in Multiple Sclerosis: A Systematic Review.International journal of molecular sciences · 2026Pooled it
- Heterogeneous treatment effect of immune checkpoint inhibitors by pretreatment prognosis in randomized controlled trials.JNCI cancer spectrum · 2026Article
- Personalized Treatment Response in Progressive MS: Can the Patient's Profile Influence the Outcome?Brain and behavior · 2025Article
- Major depressive disorder in multiple sclerosis associated with differences in disease modifying therapy and demographics.Frontiers in neurology · 2025Article
- Review
- Cost-effectiveness of treatment sequences following first-line rituximab in relapsing-remitting multiple sclerosis: a Norwegian microsimulation 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple sclerosis (MS) is heterogeneous with respect to outcomes, and evaluating possible heterogeneity of treatment effect (HTE) is of high interest. HTE is non-random variation in the magnitude of a treatment effect on a clinical outcome across levels of a covariate (i.e. a patient attribute or set of attributes). Multiple statistical techniques can evaluate HTE. The simplest but most bias-prone is conventional one variable-at-a-time subgroup analysis. Recently, multivariable predictive approaches have been promoted to provide more patient-centered results, by accounting for multiple relevant attributes simultaneously. We review approaches used to estimate HTE in clinical trials of MS.
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.