Evidence map›Paper›PMID 34921121›Full record

ArticleJournal of neurology, neurosurgery, and psychiatry2022

Composite endpoint for ALS clinical trials based on patient preference: Patient-Ranked Order of Function (PROOF).

Ruben P A van Eijk, L H van den Berg, Ying Lu

Abstract read
In one paragraph

Article in Journal of neurology, neurosurgery, and psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Ruben P A van EijkDepartment of Biomedical Data Science and Centre for Innovative Study Design, Stanford University, Stanford, California, USA R.P.A.vanEijk-2@umcutrecht.nl.ORCID 0000-0002-7132-5967
L H van den BergDepartment of Neurology, UMC Utrecht Brain Centre, Utrecht, The Netherlands.
Ying LuDepartment of Biomedical Data Science and Centre for Innovative Study Design, Stanford University, Stanford, California, USA.

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Vittorio Sebastiano · 2007 to 2026
$71.4M
Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
Statistical Methods for Optimizing Personalized Treatment SelectionR01HL089778 · NHLBI · STANFORD UNIVERSITY · PI LU TIAN · 2008 to 2026
$4.8M
NCATS NIH HHS UL1 TR003142NCI NIH HHS P30 CA124435NHLBI NIH HHS R01 HL089778
6 · The paper itself

Abstract

backgroundPatients with amyotrophic lateral sclerosis (ALS) show considerable variation in symptoms. Treatments targeting an overall improvement in symptomatology may not address what the majority of patients consider to be most important. Here, we propose a composite endpoint for ALS clinical trials that weighs the improvement in symptoms compared with what the patient population actually wants.

methodsAn online questionnaire was sent out to a population-based registry in The Netherlands. Patients with ALS were asked to score functional domains with a validated self-reported questionnaire, and rank the order of importance of each domain. This information was used to estimate variability in patient preferences and to develop the Patient-Ranked Order of Function (PROOF) endpoint.

resultsThere was extensive variability in patient preferences among the 433 responders. The majority of the patients (62.1%) preferred to prioritise certain symptoms over others when evaluating treatments. The PROOF endpoint was established by comparing each patient in the treatment arm to each patient in the placebo arm, based on their preferred order of functional domains. PROOF averages all pairwise comparisons, and reflects the probability that a patient receiving treatment has a better outcome on domains that are most important to them, compared with a patient receiving placebo. By means of simulation we illustrate how incorporating patient preference may upgrade or downgrade trial results.

conclusionsThe PROOF endpoint provides a balanced patient-focused analysis of the improvement in function and may help to refine the risk-benefit assessment of new treatments for ALS.

Indexed as

Amyotrophic Lateral SclerosisPatient PreferenceHumansALSmotor neuron diseaserandomised trials

Identifiers

PMID34921121
PMCPMC9016230

What OpenQuestion holds

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Registered trials

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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.