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Record W2065825433 · doi:10.1097/bpb.0b013e3283536872

The incidence of congenital scoliosis in infants with tetralogy of Fallot based on chest radiographs

2012· article· en· W2065825433 on OpenAlexaff
Comron Saifi, Hiroko Matsumoto, Michael G. Vitale, David P. Roye, Joshua E. Hyman

Bibliographic record

VenueJournal of Pediatric Orthopaedics B · 2012
Typearticle
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsColumbia College
Fundersnot available
KeywordsMedicineTetralogy of FallotScoliosisRadiographyCongenital scoliosisIncidence (geometry)Chest radiographReferralMedical recordPediatricsSurgeryRadiologyHeart diseaseCardiology

Abstract

fetched live from OpenAlex

Early diagnosis is critical in patients with congenital scoliosis to identify vertebral defects that have a high risk for progression. A review of the medical records and chest radiographs for 562 patients who underwent corrective surgery for tetralogy of Fallot (TOF) at our institution between 1992 and 2007 was conducted. Of the 364 patients examined in the study, 12 patients (3.3%), six girls and six boys, had a positive diagnosis of congenital scoliosis confirmed by examination of radiographs. This incidence is significantly higher than both the incidence reported in prior studies (0-1.4%) and in the general population (0.05-0.10%). Given that patients with TOF routinely undergo chest radiograph, physicians examining chest radiographs of TOF patients should be aware of the potential for congenital scoliosis to provide early diagnosis and referral for orthopaedic evaluation and treatment.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.269
Teacher spread0.253 · 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

Citations5
Published2012
Admission routes1
Has abstractyes

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