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Record W1563687650

Rendimiento diagnóstico de las reglas de Ottawa para fracturas en lesiones agudas del tobillo en el Hospital Belén de Trujillo.

2014· dissertation· es· W1563687650 on OpenAlexaboutno aff
López Bocanegra, José Félix

Bibliographic record

VenueUNIVERSIDAD NACIONAL DE TRUJILLO · 2014
Typedissertation
Languagees
FieldEnvironmental Science
TopicPublic Health and Environmental Issues
Canadian institutionsnot available
Fundersnot available
KeywordsAnkleMedicineSurgery
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVES: To determine the diagnostic performance of the rules of Ottawa for fractures in acute ankle injuries in the Bethlehem Hospital of Trujillo. MATERIALS AND METHODS: We conducted an observational, cross-sectional diagnostic tests that evaluated 114 patients with acute ankle injury, which were divided into two groups at the end of the study; Group I (40 patients with ankle fracture) and Group II (74 patients without ankle fracture). RESULTS: The overall mean age of the sample was 36,05 ± 16,25 years, the mean for the group I was 42,23 ± 18,24 years and for group II was 32,72 ± 14,10 (p 0,05). Regarding the mechanism of injury, in group I predominated falls by 50% and in group II this mechanism was present in 39,19% (p < 0,01), the mean disease duration in group I was 11,90 ± 16,11 and in group II 7,06 ± 7,78 (p < 0,05). By relating the rules of Ottawa ankle fracture and on through the x-ray, it was found that in group I the rules of Ottawa ankle fracture was diagnosed in 100% and in group II was 64,86% (p < 0,001 ). Regarding the performance of the rules of Ottawa, to predict fractures ankle, had to sensitivity, specificity, PPV and NPV were 100%, 35.14%, 45.45% and 100% respectively. CONCLUSIONS: Ottawa rules constitute a diagnostic tool with 100% sensitivity in predicting ankle fracture.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.005
GPT teacher head0.262
Teacher spread0.257 · 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; both teacher heads agree on what is shown here.

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
Published2014
Admission routes1
Has abstractyes

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Same venueUNIVERSIDAD NACIONAL DE TRUJILLOSame topicPublic Health and Environmental IssuesFrench-language works237,207