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Record W4412933286 · doi:10.1136/bcr-2024-263643

Shashi-Pena syndrome with late-onset specific hypogammaglobinaemia and autoimmune cytopenia

2025· article· en· W4412933286 on OpenAlexaff
Ashwag Saidalani, Mehdi Yeganeh, Laura Russell, Reza Alizadehfar, Francisco Noya, Christine McCusker, Bruce Mazer

Bibliographic record

VenueBMJ Case Reports · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsMcGill University Health CentreMontreal Children's Hospital
Fundersnot available
KeywordsCytopeniaImmune dysregulationMedicineImmunologyImmune systemDiseaseAutoimmune diseaseIncidence (geometry)ImmunodeficiencyPediatricsAntibodyInternal medicine

Abstract

fetched live from OpenAlex

An early adolescent male with Shashi-Pena syndrome (SPS), characterised by a novel heterozygous pathogenic variant (p.Ser627Phefs*22) in the ASXL2 gene, presented with a spectrum of manifestations. These encompassed intellectual disability, severe scoliosis, unique facial dysmorphisms, congenital heart disease, recurrent infections and autoimmune cytopenia. Distinctively, this case revealed late-onset hypogammaglobulinaemia and autoimmune cytopenia, which had not been previously documented in SPS. To our knowledge, this is the first report clinically delineating immune system involvement in a patient with SPS, thereby accentuating the significance of evaluating for immunodeficiency in the presence of Additional Sex Combs-Like (ASXL) gene anomalies, particularly against a backdrop of recurrent infections and autoimmune presentations. The implications of this case encourage further investigation into the incidence and underlying mechanisms of immune dysregulation in ASXL-related syndromes, aiming to enrich the clinical understanding and enhance the therapeutic approaches for these complex conditions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.241
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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