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Record W7133015246

Inaccuracies in Community Spine Radiology Impact Timely Presentation of Adolescent Idiopathic Scoliosis Patients

2024· dissertation· W7133015246 on OpenAlexafffund
Dorothy J. Kim

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsUniversity of Toronto
FundersHospital for Sick Children
KeywordsIdiopathic scoliosisBraceReferralScoliosisPresentation (obstetrics)Cobb angleOdds
DOInot available

Abstract

fetched live from OpenAlex

The study objectives were to determine 1) the clinical utility of community spine imaging for adolescent idiopathic scoliosis (AIS), 2) the diagnostic accuracy of community radiology for AIS brace candidates, and 3) if inaccurate measurements were associated with late AIS referrals. The index test was the community spine x-ray. The reference standard was the 3-foot standing spine x-ray. Quality of the index image was evaluated utilizing a weighted score. Diagnostic criterion for a brace candidate was dichotomized by Cobb angle range (25-40°). Index x-rays were remeasured by tertiary care clinicians and agreement computed. The odds of late referral were estimated from discrepancies in Cobb angle readings. Most index images were inadequate for AIS evaluation. Accuracy of the index test to detect a brace candidate was 65.8%. Agreement with community radiology was moderate. The odds of late referral increased with measurement inaccuracies. Accuracy of community radiology was suboptimal, impacting timely referrals.

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)0.004
metaresearch head score (Gemma)0.077
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.077
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.037
GPT teacher head0.403
Teacher spread0.367 · 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 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
Published2024
Admission routes2
Has abstractyes

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