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Record W2061935692 · doi:10.1097/bot.0b013e31815ea017

Interobserver Reliability of Classification Systems to Rate the Quality of Femoral Neck Fracture Reduction

2009· article· en· W2061935692 on OpenAlexaff
Paul J. Karanicolas, Mohit Bhandari, Stephen D. Walter, Diane Heels‐Ansdell, David Sanders, Emil H. Schemitsch, Gordon Guyatt

Bibliographic record

VenueJournal of Orthopaedic Trauma · 2009
Typearticle
Languageen
FieldMedicine
TopicHip and Femur Fractures
Canadian institutionsSt. Michael's HospitalHamilton General HospitalMcMaster UniversityLondon Health Sciences Centre
Fundersnot available
KeywordsMedicineOrthopedic surgeryIntraclass correlationInter-rater reliabilityReliability (semiconductor)RadiographyReduction (mathematics)Intra-rater reliabilityOrthodonticsSurgerySports medicinePhysical therapyConfidence intervalPsychometricsInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: We compared the interrater reliability of five classification systems and surgeons' global impressions of the quality of femoral neck fracture reduction. METHODS: Six orthopedic trauma surgeons, six orthopedic nontrauma surgeons, and six orthopedic residents from three sites each rated 50 radiographs of postoperative femoral neck fractures fixated with cannulated screws or a sliding hip screw, using their overall impression, the Garden Index, Lowell's criteria, Lindquist and Tornkvist's criteria, the Western Infirmary Glasgow (WIG) angle, and standards established by a working group of orthopedic trauma surgeons. RESULTS: Reliability estimates for the Garden Index, Lowell's criteria, and the working group standards all fell within the range of moderate agreement [intraclass correlation coefficient (ICC) range 0.41-0.48], with no instrument achieving higher reliability than reviewers' overall impressions (ICC 0.49, 95% CI 0.39-0.61). Reviewers reached only fair agreement using Lindquist and Tornkvist's criteria and the WIG angle (kappa = 0.27 and 0.39, respectively). Trauma surgeons consistently achieved higher agreement than did nontrauma surgeons and trainees. CONCLUSIONS: Future studies using quality of reduction as an outcome measure or exploring the prognostic importance of reduction quality should measure this with trauma surgeons' overall impression, rather than with less experienced assessors or using one of the alternative instruments.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.424
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.053
GPT teacher head0.343
Teacher spread0.290 · 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

Citations50
Published2009
Admission routes1
Has abstractyes

Explore more

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