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Record W2770061733 · doi:10.21037/aoj.2017.10.14

First-time anterior shoulder dislocation natural history and epidemiology: immobilization versus early surgical repair

2017· article· en· W2770061733 on OpenAlex
Tanner Gurney-Dunlop, Ahmed Shawky Eid, Jason Old, James Dubberley, Peter S. Macdonald

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnals of Joint · 2017
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsPan Am Clinic
Fundersnot available
KeywordsNatural historyExternal rotationMedicineDislocationAnterior shoulder dislocationInternal rotationAnterior shoulderEpidemiologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Traumatic anterior shoulder dislocations are a common problem. There is a high rate of recurrent instability, especially in patients <30 years of age that are involved in high level sports. The purpose of this review is to discuss the natural history after a first-time shoulder dislocation and provide a brief overview of management options. Initial nonoperative management consists of immobilization in internal rotation for 1–3 weeks. The current evidence does not support immobilization in external rotation or for longer periods of time. For those patients who are at a high risk of recurrent instability, the evidence suggests that early surgical repair to address the pathology can be undertaken. This has shown to be clinically and fiscally effective while improving patient 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.

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)0.001
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 score0.181
Threshold uncertainty score0.391

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.137
GPT teacher head0.383
Teacher spread0.246 · 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