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Record W2103082926 · doi:10.1136/bcr-2014-207501

A fourth case of Feingold syndrome type 2: psychiatric presentation and management

2014· review· en· W2103082926 on OpenAlex
Hooman Ganjavi, Victoria Mok Siu, Marsha Speevak, Penny A. MacDonald

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBMJ Case Reports · 2014
Typereview
Languageen
FieldMedicine
TopicEsophageal and GI Pathology
Canadian institutionsUniversity of TorontoWestern University
Fundersnot available
KeywordsMicrocephalyMedicineShort statureAnal atresiaIntellectual disabilityPediatricsDuodenal atresiaPresentation (obstetrics)Rare diseaseGeneticsPsychiatryAtresiaDiseasePathologyInternal medicineBiologySurgery

Abstract

fetched live from OpenAlex

Feingold syndrome (FGLDS1) is an autosomal dominant disorder caused by mutations in the MYCN oncogene on the short arm of chromosome 2 (2p24.1). It is characterised by microcephaly, digital abnormalities, oesophageal and duodenal atresias, and often learning disability or mental retardation. In 2011, individuals sharing the skeletal abnormalities of FGLDS1 but lacking mutations in MYCN, were found to harbour hemizygous deletions of the MIR17HG gene on chromosome 13q31.3. These individuals share many of the characteristics of FGLDS1 except for gastrointestinal atresia. The condition was termed Feingold syndrome type 2 (FGLDS2). We describe the presentation and management of a fourth known case of FGLDS2 in an 18-year-old girl with microcephaly, short stature, mildly dysmorphic features, digital malformations and significant cognitive and psychiatric symptoms. Comparative genomic hybridisation array testing confirmed a 7.4 Mb microdeletion in chromosome region 13q31.1q.31.3 corresponding to the MIR17HG gene.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Review · Consensus signal: Review
Teacher disagreement score0.264
Threshold uncertainty score0.843

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.045
GPT teacher head0.389
Teacher spread0.344 · 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