Evidence map›Paper›PMID 40474287›Full record

ArticleOrphanet journal of rare diseases2025

Reflection on clinical and methodological issues in rare disease clinical trials.

Johan Verbeeck, Martin Geroldinger, Joakim Nyberg, Konstantin E Thiel, Andrew C Hooker, Arne C Bathke, Johann W Bauer, Geert Molenberghs, Martin Laimer, Georg Zimmermann

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Johan VerbeeckI-BioStat, Hasselt University, Martelarenlaan 4, 3500, Hasselt, Belgium. johan.verbeeck@uhasselt.be.
Martin GeroldingerTeam Biostatistics and Big Medical Data, IDA Lab Salzburg, Paracelsus Medical University, Strubergasse 21, 5020, Salzburg, Austria.
Joakim NybergDepartment of Pharmacy, Uppsala University, 75124, Uppsala, Sweden.
Konstantin E ThielTeam Biostatistics and Big Medical Data, IDA Lab Salzburg, Paracelsus Medical University, Strubergasse 21, 5020, Salzburg, Austria.
Andrew C HookerDepartment of Pharmacy, Uppsala University, 75124, Uppsala, Sweden.
Arne C BathkeIntelligent Data Analytics (IDA) Lab Salzburg, Department of Artificial Intelligence and Human Interfaces, University of Salzburg, Kapitelgasse 4/6, 5020, Salzburg, Austria.
Johann W BauerDepartment of Dermatology and Allergology, Paracelsus Medical University, Ignaz-Harrer Straße 79, 5020, Salzburg, Austria.
Geert MolenberghsI-BioStat, Hasselt University, Martelarenlaan 4, 3500, Hasselt, Belgium.
Martin LaimerDepartment of Dermatology and Allergology, Paracelsus Medical University, Ignaz-Harrer Straße 79, 5020, Salzburg, Austria.
Georg ZimmermannTeam Biostatistics and Big Medical Data, IDA Lab Salzburg, Paracelsus Medical University, Strubergasse 21, 5020, Salzburg, Austria.

Funding

Horizon 2020 825575
6 · The paper itself

Abstract

Rare diseases present critical challenges to healthcare systems, patients, and caregivers due to their low prevalence and unique characteristics. Designing clinical trials and developing statistical methodologies for evaluating interventions in rare diseases face several challenges. The "EBStatMax" project, part of the European Joint Programme on Rare Diseases' Demonstration Projects, aimed to address one of these challenges, namely: designing and analyzing longitudinal cross-over data in rare diseases, like Epidermolysis bullosa simplex (EBS). Although the main findings of the project have been published elsewhere, this manuscript reflects on additional hurdles encountered during the project, particularly regarding outcomes and methodological considerations. It explores issues surrounding outcome measurement, statistical methodology, and clinical considerations, emphasizing their broader relevance to methodological advancements in rare disease research beyond this specific case. This manuscript highlights the critical role of international collaboration in rare disease research to enhance evidence quality and aims to inspire further advancements in the field.

Indexed as

Clinical Trials as TopicRare DiseasesHumansResearch DesignEndpointsEpidermolysis bullosaGeneralized estimating equationsGeneralized pairwise comparisonsModel averagingNon-parametric marginal modelRare diseaseVisual analogue scale

Identifiers

PMID40474287
PMCPMC12139083

What OpenQuestion 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 OpenQuestion graph.