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Record W4394008846 · doi:10.14744/tjtes.2024.39240

The role of Ottawa ankle rules in geriatric emergency department visits

2024· article· en· W4394008846 on OpenAlexaboutno aff
Avni Uygar Seyhan

Bibliographic record

VenueTurkish Journal of Trauma and Emergency Surgery · 2024
Typearticle
Languageen
FieldMedicine
TopicFoot and Ankle Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsEmergency departmentMedical emergencyAnkleMedicineEmergency medicineNursingSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Ankle injuries are a common reason for visits to the emergency department (ED). An effective diagnosis and treatment process is crucial for the swift recovery of patients and for alleviating congestion in EDs. This study aims to evaluate the adequacy and effectiveness of the Ottawa Ankle Rules (OAR) in geriatric patients presenting to the emergency department (ED). METHODS: Between February 2022 and November 2022, 160 patients aged 65 and older (118 women, 42 men) who presented to the ED with isolated ankle injuries were included in the study. We calculated the sensitivity, specificity, positive predictive value, and negative predictive value of the OAR. RESULTS: The study found fractures in 37.5% of patients. The sensitivity of the OAR was 98.33%, the specificity was 86%, the negative predictive value was 98.85%, and the positive predictive value was 80.82%. CONCLUSION: This study demonstrates that the OAR is highly sensitive in the geriatric population but shows some limitations in terms of specificity and positive predictive value. These results support the effectiveness of using the OAR in evaluating ankle injuries in the geriatric population but also highlight the need for cautious application due to the potential for false-positive outcomes.

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)0.000
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 score0.362
Threshold uncertainty score0.542

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.014
GPT teacher head0.264
Teacher spread0.250 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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