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Educational and Social Outcomes in Optic Nerve Hypoplasia and Septo-Optic-Pituitary Dysplasia

2025· article· en· W7117812502 on OpenAlexafffundabout
Michael S. Salman, Chelsea Ruth, Randy Walld, Marina Yogendran, Lisa M. Lix

Bibliographic record

VenuePediatric Neurology · 2025
Typearticle
Languageen
FieldMedicine
TopicGrowth Hormone and Insulin-like Growth Factors
Canadian institutionsUniversity of ManitobaChildren's Hospital Research Institute of ManitobaManitoba Health
FundersManitoba Centre for Health Policy, University of ManitobaChildren's Hospital Research Institute of ManitobaWinnipeg Regional Health Authority
KeywordsSocial workDysplasiaOptic nerve hypoplasiaOptic nerveMEDLINEHypoplasiaAdverse effect

Abstract

fetched live from OpenAlex

BACKGROUND: To describe educational and social outcomes in optic nerve hypoplasia/septo-optic-pituitary dysplasia (ONH/SOD) in Manitoba, Canada. METHODS: A population-based case-control study used administrative health, education, and social data from the Manitoba Population Research Data Repository. A total of 124 ONH/SOD patients diagnosed during 1990-2019 were matched to 620 unrelated population-based controls on area of residence, birth year, and sex. Multivariable logistic regression tested for differences between cases and controls on selected educational and social outcomes. Odds ratios (ORs) with 95% confidence intervals (CIs) were estimated. RESULTS: Cases had higher odds than controls for requiring specialized educational funding (OR: 13.12, 95% CI: 7.06-24.40). Vulnerability in any five domains of Early Development Instrument, a measure of school readiness, showed higher odds in cases (OR: 2.58, 95% CI: 1.09-6.10). In addition, cases had higher odds of contact with Child and Family Services (OR: 1.81, 95% CI: 1.22-2.69), and being taken into care at any time after birth (OR: 2.10, 95% CI: 1.32-3.35). CONCLUSIONS: Cases with ONH/SOD had a need for greater resources and more adverse educational and social outcomes. It is recommended for social and educational service providers to work together with health care providers to ensure appropriate supports are in place for cases with ONH/SOD.

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 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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.780

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.009
GPT teacher head0.257
Teacher spread0.248 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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 routes3
Has abstractyes

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