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Record W4231400817 · doi:10.29309/tpmj/2017.24.11.663

ANKLE AND MIDFOOT FRACTURES;

2017· article· en· W4231400817 on OpenAlexaboutno aff
Mohammad Shabir, Shahid Iqbal, Muhammad Inam, Arif Shehzad, Ihsanullah

Bibliographic record

VenueThe Professional Medical Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicDiabetic Foot Ulcer Assessment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnkleGold standard (test)Foot (prosody)Orthopedic surgeryPredictive valuePhysical therapyPopulationSurgeryOrthodonticsRadiologyInternal medicine

Abstract

fetched live from OpenAlex

Objectives: To determine the diagnostic accuracy of Ottawa rule in ankle andmidfoot fracture keeping x-ray as gold standard. Study Design: Descriptive study. Setting:Department of Orthopedics, Lady Reading Hospital Peshawar. Period: June 2014 to May 2016.Materials and Methods: Through a Cross Sectional Study Design, a total of 175 patientspresenting with suspicion of ankle/mid foot fracture were selected in a consecutive mannerfrom the OPD and subjected to detection of fracture through Ottawa Ankle Rule followed byX-ray to confirm the diagnosis of fracture. Results: The mean age group of patients in ourstudy was 36.1+10.4 years. There were 85.7% males and 14.3% were females. The sensitivityanalysis shows OAR has a sensitivity of 81.2% and specificity 61.9%., positive predictive valueof the OAR is 79.1% and negative predictive value is 65.0% keeping X-ray as a gold standard.Conclusion: The overall sensitivity and specificity of the OAR lies within an acceptable rangein our local population however, we still recommend further research work over it beforerecommendations as a routine screening test for the fracture of ankle or mid foot.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.779
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.385
Teacher spread0.362 · 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.

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
Published2017
Admission routes1
Has abstractyes

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