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Record W2322821405

PROXIMAL HUMERAL FRACTURES TREATED WITH THE EVAN’S STAPLE

2002· article· en· W2322821405 on OpenAlexaboutno aff
Hamish Leslie, David Backstein, Peter Weiler, W J Kraemer

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicShoulder and Clavicle Injuries
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSurgeryRadiological weaponDashShouldersFixation (population genetics)HumerusPopulation
DOInot available

Abstract

fetched live from OpenAlex

Introduction: The Evan’s staple is an intramedullary device. It has two 20 cm tines connected by a horizontal bar with a hole mid-apex to facilitate insertion over a K-wire and enhance fixation to the humerus by means of a tension band. Aim: To perform a retrospective review of the results of using the Evan’s staple as a means of fixation for displaced proximal humeral fractures. Method: Between 1989 and 1997 at the Toronto East General Hospital, 56 patients with displaced proximal humeral fractures were treated with an Evans’ staple. This included 14 three-part and four four-part fractures and six fracture-dislocations. The age range at the time of operation was 18–94 years. The average duration of follow-up was 48.6 months, the range being 11–99 months. The study consisted of patient chart review, radiological review and use of the DASH (Disabilities of the Arm, Shoulder and Hand) questionnaire. Results: Complete radiological data were available for 26 patients and these showed a 100% union rate. The majority (77%) healed in neutral, the remainder in varying degrees of varus. Twenty-one patients returned the DASH questionnaire, with an average functional score of 37.8 (0= no disability, 100= severe disability). The complications included eight cases of impingement that required staple removal and one fracture distal to a staple caused by a subsequent fall. Conclusion: The Evan’s staple is a viable means of fixation for displaced proximal humeral fractures.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.258
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0050.000

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 head0.016
GPT teacher head0.329
Teacher spread0.313 · 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
Published2002
Admission routes1
Has abstractyes

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