Evidence map›Paper›PMID 40104333›Full record

ArticleFrontiers in psychiatry2025

Phenotype and psychometric characterization of Phelan-McDermid syndrome patients: pioneering towards personalized medicine.

Julián Nevado, Filippo Ciceri, Cristina Bel-Fenellós, Jair A Tenorio-Castaño, Tamara Maes, Jordi Xaus, Carlos Buesa, Pablo Lapunzina

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 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. 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

8 authors.

Julián NevadoInstituto de Genética Médica y Molecular (INGEMM)-Instituto de Investigación del Hospital Universitario La Paz (IdiPaz), Hospital Universitario La Paz, Madrid, Spain.
Filippo CiceriOryzon Genomics SA. Cornellà de Llobregat, Barcelona, Spain.
Cristina Bel-FenellósDpto. Investigación y Psicología en Educación, Facultad de Educación, Universidad Complutense, Madrid, Spain.
Jair A Tenorio-CastañoInstituto de Genética Médica y Molecular (INGEMM)-Instituto de Investigación del Hospital Universitario La Paz (IdiPaz), Hospital Universitario La Paz, Madrid, Spain.
Tamara MaesOryzon Genomics SA. Cornellà de Llobregat, Barcelona, Spain.
Jordi XausOryzon Genomics SA. Cornellà de Llobregat, Barcelona, Spain.
Carlos BuesaOryzon Genomics SA. Cornellà de Llobregat, Barcelona, Spain.
Pablo LapunzinaInstituto de Genética Médica y Molecular (INGEMM)-Instituto de Investigación del Hospital Universitario La Paz (IdiPaz), Hospital Universitario La Paz, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Phelan-McDermid syndrome (PMS) is a genetic disorder caused by the loss of the terminal region of chromosome 22 or by pathogenic or likely-pathogenic variants in Methods: We have conducted a pilot study to clinically characterize the profile of 30 subjects, all diagnosed of molecularly confirmed PMS. Subjects were phenotypically characterized by applying different psychometric scales, including Repetitive Behavior Questionnaire (RBQ), Vineland Adaptive Behavior Scales, ADOS-2, the Battelle developmental inventory screening test and the Behavior Problems Inventory (BPI). Nineteen patients were included in the pilot study, followed by additional 11 individuals in the validation set. Results: Unsupervised hierarchical clustering of the collected psychometric data identifies three groups of patients, with different cognitive and behavioral profile scores. Statistically significant differences in deletion sizes were detected comparing the three clusters (corrected by gender), and the size of the deletion appears to be positively correlated with ADOS and negatively correlated with Vineland-A and -C scores. No correlation was detected between deletion size and the BPI and RBQ scores. Discussion: This analysis presents new data on the best potential endpoints, for a future clinical study exploring vafidemstat actionability for

Indexed as

aggressivelycognitive-behavioral aspectsgenomic medicinepersonalized medicinePhelan McDermidSHANK3 gene

Identifiers

PMID40104333
PMCPMC11913864

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