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Record W2514929887 · doi:10.21037/aoj.2016.08.01

Does hip morphology predispose to femoral head osteonecrosis?

2016· article· en· W2514929887 on OpenAlexaff
Abdulaziz Almaawi, Pascal‐André Vendittoli

Bibliographic record

VenueAnnals of Joint · 2016
Typearticle
Languageen
FieldMedicine
TopicBone and Joint Diseases
Canadian institutionsHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsFemoral headMedicineEtiologyTotal hip arthroplastyPathogenesisFemoral neckHead and neckSurgeryInternal medicineOsteoporosis

Abstract

fetched live from OpenAlex

Femoral head osteonecrosis (ON) presents in about 10% of all total hip arthroplasty (THA) patients in united states (1). There have been a variety of traumatic and atraumatic factors identified as risk factors for ON, but the etiology and pathogenesis still remains unclear. Ollivier et al. ’s work is trying to shed a light on the anatomical associations with idiopathic ON. In this study, hip morphology was compared (obtained by CT scan) between patients who had idiopathic femoral head ON and a matched control group of patients to determine whether any observed differences could have possible associations with the disease process. In this study, there was significant differences between the two groups and found ON group to be associated with a decreased femoral neck-shaft angle of 17°), less acetabular coverage (lateral center-edge angle of <32°) and less acetabular version <19° (2).

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)0.002
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 score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.094
GPT teacher head0.352
Teacher spread0.258 · 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
Published2016
Admission routes1
Has abstractyes

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