MétaCan
Menu
Back to cohort
Record W2508048241 · doi:10.2106/jbjs.16.00582

Hook-Plate Fixation in Patients with Acute Acromioclavicular Joint Dislocation Improved Radiographic But Not Clinical Outcomes Compared with Nonoperative Treatment

2016· letter· en· W2508048241 on OpenAlexaboutno aff
Charles L. Cox

Bibliographic record

VenueJournal of Bone and Joint Surgery · 2016
Typeletter
Languageen
FieldMedicine
TopicShoulder and Clavicle Injuries
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAcromioclavicular jointSurgeryCoracoidRandomized controlled trialCoracoid processJoint dislocationRadiographyShoulder jointScapula

Abstract

fetched live from OpenAlex

Canadian Orthopaedic Trauma Society. Multicenter randomized clinical trial of nonoperative versus operative treatment of acute acromio-clavicular joint dislocation. J Orthop Trauma. 2015 Nov;29(11):479-87. ### Question: In patients with high-grade, acute acromioclavicular (AC) joint dislocation, does operative repair with hook-plate fixation improve patient outcomes more than nonoperative treatment? ### Design: Randomized (allocation concealed), unblinded, controlled trial with 2 years of follow-up and intention-to-treat analysis. ### Setting: 11 hospitals in Canada. ### Patients: 83 patients 16 to 60 years of age (mean age, 38 years; 94% men) who had a closed, complete (Rockwood grade-III to V) AC joint dislocation and were recruited ≤28 days after the injury. Exclusion criteria included previous surgery on the injured shoulder, scapulothoracic dissociation, vascular or ipsilateral shoulder injury, coracoid process fracture of the injured shoulder, or limited life expectancy. >80% of patients were assessed for secondary outcomes at 1 year; 1 year. ### Intervention: Operative repair (n = 40) or nonoperative treatment (n = 43). Operative repair was done ≤28 days after the injury and included anatomic …

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.029
GPT teacher head0.314
Teacher spread0.285 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
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

Citations2
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Bone and Joint SurgerySame topicShoulder and Clavicle InjuriesFrench-language works237,207