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Record W2605911108 · doi:10.23907/2014.050

Sudden Death in the Septo-Optic Dysplasia Spectrum

2014· article· en· W2605911108 on OpenAlexaff
Maria Paola Bonasoni, Jeanette A. Reyes, Susan Cromwell, William Halliday, Glenn Taylor, David A. Chiasson

Bibliographic record

VenueAcademic Forensic Pathology · 2014
Typearticle
Languageen
FieldMedicine
TopicGrowth Hormone and Insulin-like Growth Factors
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineSeptum pellucidumAutopsyOptic nerve hypoplasiaDysplasiaHypoplasiaSudden deathPathologyPathologicalPediatricsCorpus callosumPopulationSurgeryInternal medicineAnatomy

Abstract

fetched live from OpenAlex

Septo-optic dysplasia (SOD) is a rare entity in which a variable spectrum of brain abnormalities, classically involving midline structures septum pellucidum (SP) and/or corpus callosum (CC) are associated with optic nerve hypoplasia (ONH) and hypothalamic-pituitary dysfunction. Sudden unexpected death (SUD) in the setting of SOD is recognized but there is a paucity of postmortem studies of this patient population. A retrospective clinicopathological analysis of seven autopsy cases of pediatric patients (ages: ten weeks to 17 years) with SOD was performed. Six patients were found vital signs absent at home. The seventh child was admitted to the hospital in shock, and died after being maintained on life support for 16 days. At autopsy, in all cases there were central nervous system (CNS) abnormalities and stigmata of panhypopituitarism (PHP), confirming the underlying diagnosis of SOD. Infectious or other acute pathological processes to account for sudden death were not identified. Forensic pathologists need to be aware of SOD because it predisposes to SUD and an appreciation of the underlying neuroendocrine complexities of the disorder is required for proper death certification.

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: none
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)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.020
GPT teacher head0.272
Teacher spread0.252 · 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

Citations2
Published2014
Admission routes1
Has abstractyes

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