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Record W2789422250 · doi:10.7205/milmed.169.10.804

Prospective Validation of the Ottawa Ankle Rules in a Deployed Military Population

2004· article· en· W2789422250 on OpenAlexaboutno aff
John R. Leisey

Bibliographic record

VenueMilitary Medicine · 2004
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnkleOrthopedic surgeryRadiographyPredictive valueProspective cohort studyPopulationPhysical therapyLikelihood ratios in diagnostic testingSurgeryInternal medicine

Abstract

fetched live from OpenAlex

This study prospectively validated the Ottawa Ankle Rules (OAR) in patients presenting with acute ankle trauma to a deployed military clinic at Prince Sultan Air Base in Saudi Arabia. The treating physician determined whether the patient met OAR criteria. The decision to obtain radiographs was left to the discretion of the physician. All radiographs were read by a radiologist blinded to the study. Patients who were not evaluated by radiographs received follow-up in the orthopedic clinic or by telephone. Forty-five consecutive patients were enrolled over a 3-month period. Twenty-nine (64%) patients met the OAR criteria, 32 (71%) received radiographs, and 5 (11%) fractures were identified. All fractures were predicted by the OAR. The sensitivity of the OAR was 1.0 and specificity was 0.40. Negative predictive value was 1.0, positive predictive value was 0.17, likelihood ratio positive value was 1.67, and likelihood ratio negative value was 0.0. The OAR correctly predicted all ankle fractures in the military population studied.

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)0.001
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 score0.009
Threshold uncertainty score0.898

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.012
GPT teacher head0.264
Teacher spread0.252 · 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

Citations7
Published2004
Admission routes1
Has abstractyes

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