Evidence map›Paper›PMID 36177953›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2023

Recurrent disability progression endpoints in multiple sclerosis clinical trials.

Alexandra Bühler, Marcel Wolbers, Fabian Model, Qing Wang, Shibeshih Belachew, Marianna Manfrini, Johannes Lorscheider, Ludwig Kappos, Jan Beyersmann

Abstract read
In one paragraph

Article 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 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Alexandra BühlerUniversity of Waterloo, Waterloo, ON, Canada.ORCID 0000-0002-0872-0374
Marcel WolbersF. Hoffmann-La Roche Ltd., Basel, Switzerland.
Fabian ModelF. Hoffmann-La Roche Ltd., Basel, Switzerland.
Qing WangF. Hoffmann-La Roche Ltd., Basel, Switzerland.
Shibeshih BelachewF. Hoffmann-La Roche Ltd., Basel, Switzerland.ORCID 0000-0003-3976-1950
Marianna ManfriniF. Hoffmann-La Roche Ltd., Basel, Switzerland.
Johannes LorscheiderResearch Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital, University of Basel, Basel, Switzerland.
Ludwig KapposResearch Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital, University of Basel, Basel, Switzerland.ORCID 0000-0003-4175-5509
Jan BeyersmannUlm University, Ulm, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current standard endpoint to assess disability accumulation in multiple sclerosis (MS) clinical trials is the time to the first confirmed disability progression, which excludes subsequent progression events. Including recurrent progression events may permit a more comprehensive assessment of treatment effects on disability progression.

objectiveTo propose a definition of recurrent disability progression events and to compare time-to-first and recurrent event analysis.

methodsRecurrent disability progression events were defined by expanding the recommended first event definition. Marginal recurrent event methods (negative binomial model, Lin-Wei-Yang-Ying model) were compared with Cox regression in data from three randomized controlled trials in relapsing multiple sclerosis (RMS) and primary progressive multiple sclerosis (PPMS), and in simulated randomized controlled trial data.

resultsThe recurrent event analyses included a substantially larger number of progression events compared with the time-to-first-event analyses (+7.5% and +9.9% in the RMS trials and +22.7% in the PPMS trial). The increase in the number of events resulted in more precise treatment effect estimates and a corresponding gain in statistical power.

conclusionOur results support the use of recurrent event data analysis, especially in progressive MS trials, to improve estimates of treatment effects, increase statistical power, and better capture the clinically meaningful long-term disability progression experience.

Indexed as

Multiple SclerosisMultiple Sclerosis, Chronic ProgressiveMultiple Sclerosis, Relapsing-RemittingDisease ProgressionHumansModels, StatisticalRecurrencedisability progressiondisease-modifying therapymultiple sclerosisOcrelizumabrecurrent event analysestreatment outcome

Identifiers

PMID36177953
PMCPMC9896250

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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.