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Record W3147546942 · doi:10.1136/bcr-2020-241032

Brain-lung-thyroid syndrome in a neonate with argininosuccinate lyase deficiency

2021· article· en· W3147546942 on OpenAlexaff
Krystyna Ediger, Anne Hicks, Komudi Siriwardena, Chloë Joynt

Bibliographic record

VenueBMJ Case Reports · 2021
Typearticle
Languageen
FieldMedicine
TopicNeonatal Health and Biochemistry
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineArgininosuccinate lyaseHypotoniaPediatricsRespiratory distressCongenital hypothyroidismUrea cycleThyroidInternal medicineSurgery

Abstract

fetched live from OpenAlex

Argininosuccinate lyase (ASL) deficiency is a rare autosomal recessive urea cycle disorder. The severe neonatal-onset form is characterised by hyperammonaemia in the first days of life and manifests with a variety of severe symptoms. However, an index of suspicion for additional or alternative diagnoses must be maintained when the patient's presentation is out of keeping with expected manifestations and course. We present a case of a neonate with ASL deficiency and concomitant hypotonia, severe respiratory distress, pulmonary hypertension, systemic hypotension and congenital hypothyroidism. The patient was investigated and subsequently diagnosed with brain-lung-thyroid syndrome, caused by a mutation in the NKX2-1 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.

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)0.004
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0030.002
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 head0.012
GPT teacher head0.303
Teacher spread0.290 · 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
Published2021
Admission routes1
Has abstractyes

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