MétaCan
Menu
Back to cohort

Lung Function in Congenital Kyphosis and Kyphoscoliosis

2007· article· en· W2070299247 on OpenAlexfundno aff
Michael J. McMaster, Michael A. Glasby, Harwant Singh, Steve Cunningham

Bibliographic record

VenueJournal of Spinal Disorders & Techniques · 2007
Typearticle
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsnot available
FundersMcMaster University
KeywordsMedicineKyphoscoliosisKyphosisDeformityScoliosisRespiratory systemSurgeryPulmonary function testingRadiographyLung functionSpinal CurvaturesSpinal deformityLungInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To quantify the respiratory compromise in patients with a congenital kyphosis or kyphoscoliosis in whom the major deformity is the kyphosis. METHODS: Forty-one patients with congenital vertebral anomalies resulting in a kyphosis or kyphoscoliosis, in which the kyphosis was the major deformity, and requiring spine surgery were studied retrospectively. The preoperative respiratory function and radiographic spinal assessments were compared. RESULTS: Twenty-two patients (54%) had an impairment of respiratory function: 2 patients (5%) were severely affected, 8 patients (20%) were moderately affected, and 12 patients (29%) were mildly affected. CONCLUSIONS: An increasing severity of kyphosis was associated with a significant increase in respiratory impairment (P<0.005). A more cranial level of the kyphosis, especially above T10, had a significantly greater effect on respiratory impairment (P<0.001). One untreated patient with a severe kyphosis (128 degrees) died from cor pulmonale.

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)0.003
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.010
GPT teacher head0.304
Teacher spread0.294 · 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

Citations69
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Spinal Disorders & TechniquesSame topicScoliosis diagnosis and treatmentFrench-language works237,207