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Record W2065325758 · doi:10.1007/s11999-014-3518-9

Can We Treat Select Terrible Triad Injuries Nonoperatively?

2014· article· en· W2065325758 on OpenAlexaff
Kevin Chan, Joy C. MacDermid, Kenneth J. Faber, Graham J.W. King, George S. Athwal

Bibliographic record

VenueClinical Orthopaedics and Related Research · 2014
Typearticle
Languageen
FieldMedicine
TopicElbow and Forearm Trauma Treatment
Canadian institutionsWestern UniversityMcMaster University
Fundersnot available
KeywordsMedicineElbowRadial head fractureDashRange of motionSurgeryRadiographyReduction (mathematics)Orthopedic surgeryWristRadial head

Abstract

fetched live from OpenAlex

BACKGROUND: While the majority of terrible triad elbow injuries (ulnohumeral dislocation with radial head and coronoid fractures) are managed surgically, nonoperative treatment may be appropriate in selected patients, but results with this approach have been limited by very small studies. QUESTIONS/PURPOSES: We assessed (1) functional outcomes using two validated questionnaires, (2) elbow ROM, strength, and stability, (3) the presence of union and arthritis on radiographs, and (4) complications among a group of patients managed nonoperatively for terrible triad injuries. METHODS: Between 2006 and 2012, we retrospectively identified 12 patients with terrible triad elbow injuries who were treated nonoperatively and met the following criteria: (1) a concentric joint reduction, (2) a radial head fracture that did not cause a mechanical block to rotation, (3) a smaller coronoid fracture (Regan-Morrey Type 1 or 2), and (4) a stable arc of motion to a minimum of 30° of extension to allow active motion within the first 10 days. Eleven patients were available for followup of at least 12 months after the injury (mean, 36 months; range, 12-90 months). Outcome measures included two patient-reported functional outcome measures (DASH, Mayo Elbow Performance Index [MEPI]), a standardized physical examination to record elbow ROM and stability, isometric strength measurements, and radiographic evidence of bony union and elbow arthrosis. Complications were also recorded. RESULTS: At latest followup, mean ± SD DASH score was 8.0 ± 11.0 and mean MEPI score was 94 ± 9. Mean ROM of the affected elbow was 134° ± 5° flexion, 6° ± 8° extension, 87° ± 4° pronation, and 82° ± 10° supination. No instability was detected. Strength assessments demonstrated the following mean percentages of the contralateral, unaffected elbow: flexion 100%, extension 89%, pronation 79%, and supination 89%. Four patients had arthritic changes on radiographs that did not call for treatment as of latest followup. Complications included one patient who underwent surgical stabilization for early recurrent instability and another who underwent arthroscopic débridement for heterotopic bone. CONCLUSIONS: In selected patients, nonoperative treatment of terrible triad injuries is an option that can provide good function and restore stable elbow ROM. However, nonoperative management requires close clinical and radiographic followup to monitor for any delayed elbow subluxation or fracture displacement. LEVEL OF EVIDENCE: Level IV, therapeutic study. See Instructions for Authors for a complete description of levels of evidence.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.111
GPT teacher head0.446
Teacher spread0.335 · 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 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

Citations90
Published2014
Admission routes1
Has abstractyes

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