Evidence map›Paper›PMID 42412263›Full record

ArticleJournal of community genetics2026

Characterization of individuals with skeletal dysplasia at a referral center in Brazil.

J G C Meira, M P Migliavacca, A X Acosta

Abstract read
In one paragraph

Article in Journal of community genetics, 2026. 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

3 authors.

J G C MeiraDepartment of Life Sciences, Bahia State University, Salvador, BA, Brazil. jgcmeira@uneb.br.ORCID http://orcid.org/0000-0002-9267-404X
M P MigliavaccaHospital Israelita Albert Einstein, São Paulo, SP, Brazil.
A X AcostaDepartment of Pediatrics, Faculty of Medicine of Bahia, Federal University of Bahia, Salvador, BA, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal dysplasias are rare genetic disorders affecting bone and cartilage, often causing disproportionate short stature and multisystem involvement. In Brazil, limited data challenge diagnosis and management. To describe the clinical and sociodemographic profile of individuals with suspected skeletal dysplasia, without confirmed etiological diagnosis, evaluated at a university hospital in Salvador, Bahia, Brazil, and referred for genomic sequencing through the Rare Genomes Project. Observational, cross-sectional study including 90 individuals evaluated at Hospital Professor Edgard Santos, that is part of Federal University of Bahia, between December 2020 and May 2023. All patients were evaluated by a medical geneticist, and clinical data were extracted from medical records and standardized using Human Phenotype Ontology (HPO) terms. Most participants (71%) were from countryside of Bahia, 68% were mixed-race, with balanced sex distribution. The mean age was 11.4 years. Consanguinity was reported in 28% and family recurrence in 34% of cases. Among the 15 subgroups listed, the most frequent was "Skeletal dysplasia with decreased bone density" (43.3%). A total of 299 distinct HPO terms reflected high phenotypic variability. This study highlights the clinical heterogeneity of skeletal dysplasia and the importance of a specialized evaluation by a clinical geneticist enabling standardized phenotyping combined with genomic tools to improve diagnosis and public health care.

Indexed as

Ontologies as topicOrphan diseasesPhenotypePopulation characteristicsSkeletal dysplasia

Identifiers

PMID42412263
PMCPMC13341988

What Socratic 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 Socratic graph.