Evidence mapPaperPMID 40969682Full record

ReviewEClinicalMedicine2025

Hierarchical composite endpoints in clinical trials for multimorbid older adults.

Priya Vart

Abstract readReview
In one paragraph

Review in EClinicalMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

1 author.

Priya VartDepartment of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hierarchical composite endpoints (HCEs) has the potential to make clinical trials for multimorbid older adults more relevant. Unlike conventional time-to-first-event analyses-which can give more weight to outcomes of lesser relevance-HCEs rank outcomes by importance to patients and clinicians. This allows priorities such as avoiding hospital stays, maintaining quality of life, and preserving independence to shape trial results, while still accounting for conventional outcomes like mortality. Because they use information from more patients, HCEs can also increase statistical power, which is particularly useful in trials where recruiting older adults is difficult and evidence to guide treatment is limited. However, deciding the order of outcomes requires balancing patient and clinical priorities, and ensuring consistency and regulatory acceptance.

Indexed as

Clinical trial designHierarchical composite endpointsMultimorbidityOlder adultsPatient-centered outcomes

Identifiers

PMID40969682
PMCPMC12441725

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.