Evidence map›Paper›PMID 41548013›Full record

ArticleScientific reports2026

Consensus for the most suitable trial design to assess therapy for rare vascular malformations: a Delphi study.

Aude Allemang-Trivalle, Bruno Giraudeau, Annabel Maruani

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Aude Allemang-TrivalleUniversity of Tours, INSERM-SPHERE U1246, Tours, France. aude.allemang-trivalle@etu.univ-tours.fr.
Bruno GiraudeauUniversity of Tours, INSERM-SPHERE U1246, Tours, France.
Annabel MaruaniUniversity of Tours, INSERM-SPHERE U1246, Tours, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Randomized controlled trials are the gold standard for assessing therapeutic interventions but face challenges in rare diseases due to small sample sizes and heterogeneous conditions. Vascular anomalies (VAs) constitute an interesting model for investigating adapted trial designs. We aimed to assess consensus among international experts in determining the most appropriate trial design for studying the therapeutic effect of a medical treatment for VAs. By using a two-round Delphi method, this study collected opinions from international experts (physicians and patients/caregivers) on the feasibility, acceptability, and suitability of various trial designs for VAs. Experts completed an e-questionnaire based on four clinical scenarios including ten therapeutic situations comparing different treatment modalities and comparators. We considered consensus as ≥ 60% agreement. More than 200 experts were solicited; 29 participated in the first round and 26 in the second. Consensus was achieved for 2 of the 10 situations, favoring cross-over and within-person designs. The designs allow intra-patient comparisons, reduce required sample size; ensure patient access to the experimental treatment; and masked assessment. However, consensus was not reached for 8 of the 10 situations, reflecting heterogeneity and the absence of a universally optimal design. These findings provide preliminary guidance for early protocol planning and require confirmation through empirical studies.

Indexed as

Rare DiseasesResearch DesignVascular MalformationsConsensusDelphi TechniqueHumansRandomized Controlled Trials as TopicSurveys and QuestionnairesDelphi methodologyExpert consensusRandomized controlled trialsRare diseasesTrial designVascular malformations

Identifiers

PMID41548013
PMCPMC12891627

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.