Evidence map›Paper›PMID 40506648›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2025

Describing phenotypes in FSHD: an update of the comprehensive clinical evaluation form.

Giulia Ricci, Francesca Torri, Lucia Ruggiero, Liliana Vercelli, Giulio Gadaleta, Enrica Rolle, Barbara Risi, Elena Carraro, Teresinha Evangelista, Enrico Bugiardini and 6 more

Abstract read
PubMed Publisher
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

16 authors.

Giulia RicciDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy. giulia.ricci@unipi.it.ORCID http://orcid.org/0000-0002-6612-5995
Francesca TorriDepartment of Translational Research and New Technologies in Medicine and Surgery, Univeristy of Pisa, Pisa, Italy.
Lucia RuggieroDepartment of Neuroscience, Reproductive and Odontostomatological Science, University of Naples "Federico II", Naples, Italy.
Liliana VercelliDepartment of Neuroscience RLM, Neuromuscular Unit, University of Torino, Turin, Italy.
Giulio GadaletaDepartment of Neuroscience RLM, Neuromuscular Unit, University of Torino, Turin, Italy.
Enrica RolleDepartment of Neuroscience RLM, Neuromuscular Unit, University of Torino, Turin, Italy.
Barbara RisiDepartment of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Elena CarraroNeuromuscular Omnicentre, Fondazione Serena Onlus, Milan, Italy.
Teresinha EvangelistaInstitute of Myology, EURO-NMD Coordination, Pitié-Salpêtrière Hospital, APHP Sorbonne University, Paris, France.
Enrico BugiardiniQueen Square Centre for Neuromuscular Diseases, Queen Square UCL Institute of Neurology, London, UK.
Nicolas DubuissonNeuromuscular Reference Center, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium.
Nicol VoermansDepartment of Neurology, Radboud Universiteit, Nijmegen, The Netherlands.
Gabriele SicilianoDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Tiziana MonginiDepartment of Neuroscience, Reproductive and Odontostomatological Science, University of Naples "Federico II", Naples, Italy.
Massimiliano FilostoDepartment of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Italian Clinical Network for FSHD

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca P20229XKFC
6 · The paper itself

Abstract

backgroundFacioscapolohumeral muscular dystrophy is characterized by a wide clinical variability; the underlying reasons and the relation between them and the genetic markers are still not clear. In fact, the different phenotypes could show a different disease progression and/or imply distinct genetic mechanisms. As clinical trials are approaching also for FSHD, the correct description and stratification of patients becomes mandatory. To address these matters, in 2016 the Italian Clinical Group for FSHD developed the Comprehensive Clinical Evaluation Form (CCEF), aimed at describing the different observed phenotypes in FSHD.

methodsA working group composed by the former developers of the CCEF and other expert clinicians re-evaluated the whole structure of the CCEF, to develop a simplified version for use in clinical practice; also, other expert clinicians not referring to the Italian Clinical Group for FSHD read and approved the CCEF revised version for its international use.

resultsWe present the CCEF-R, a revised and simplified version of the CCEF, that while maintaining all the core structure and items of the previous validated version, has been modified with new friendlier graphics, focused on the key anamnestic and neurological examination findings, to facilitate its understanding and use in clinical practice.

conclusionsThe phenotypical classification combined with the genetic signature should be considered during the diagnostic work out for guiding genetic analysis and for genotype-phenotype correlations and genetic counseling. The CCEF could have a significant role in the clinical stratification process of patients for clinical trials and in laying the groundwork for evidence-based medical decision making.

Indexed as

Muscular Dystrophy, FacioscapulohumeralPhenotypeHumansItalyCCEFClinical categoriesClinical variabilityFSHDGenotype–phenotype correlation

Identifiers

What OpenQuestion holds

Textmetadata
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.