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Record W4409252276 · doi:10.1016/j.arthro.2025.03.061

Good Clinical and Functional Outcomes With Low Rates of Recurrent Instability and Revision Surgery After Sternoclavicular Reconstruction or Repair for the Treatment of Instability: A Systematic Review

2025· review· en· W4409252276 on OpenAlexaff
Maximilian Hinz, Daniel Kopolovich, Bradley M. Kruckeberg, Marco Adriani, Ajay C. Kanakamedala, YuChia Wang, Marco‐Christopher Rupp, Matthew T. Provencher, Peter J. Millett

Bibliographic record

VenueArthroscopy The Journal of Arthroscopic and Related Surgery · 2025
Typereview
Languageen
FieldMedicine
TopicShoulder and Clavicle Injuries
Canadian institutionsSurgical Specialties (Canada)
FundersAmerican Shoulder and Elbow SurgeonsNational Institutes of HealthAmerican Orthopaedic Society for Sports MedicineAmerican Academy of Orthopaedic SurgeonsU.S. Department of DefenseSteadman Philippon Research InstituteSmith and NephewArthrex
KeywordsInstabilityMedicineSternoclavicular jointSurgeryPhysicsMechanics

Abstract

fetched live from OpenAlex

PURPOSE: To evaluate clinical and functional outcomes after sternoclavicular joint (SCJ) reconstruction or repair and to calculate the rates of recurrent instability, revision surgery, return to sport (RTS), and return to work (RTW) after SCJ reconstruction or repair for the treatment of SCJ instability. METHODS: A systematic review of the literature based on the Preferred Reporting Items for Systematic Reviews and Meta Analyses was conducted using PubMed, Embase, and the Cochrane Library. Studies that evaluated the clinical and functional outcomes after SCJ reconstruction or repair for the treatment of SCJ instability were included. Data regarding study and patient characteristics, surgical management, clinical and functional outcomes as well as RTS and RTW were collected. Because of the heterogeneity of the studies included, patient-reported outcome measurements and complication rates were reported as ranges. RESULTS: In total, ten studies (8 with Level IV evidence and 2 with Level III evidence) with 150 patients were included for analysis, of which a reconstruction was performed in 8 studies and a repair was performed in 2 studies. Mean patient age ranged from 22.2 to 42 years (range, 11-73 years), and the mean follow-up time ranged from mean 28.2 to 94.5 months (range, 24 months to 13 years). A traumatic event was the most common source for SCJ instability across all studies (43.8-100%). Surgery was performed more often for anterior SCJ instability than for posterior SCJ instability. The short version of the Disabilities of the Arm, Shoulder and Hand and American Shoulder and Elbow Surgeons scores were the most commonly reported functional outcome parameters and improved from mean 44.2 to 2.3-12.1 and 44.8-50.0 to 70.8-94.8, respectively. Pain (assessed via visual analog scale) decreased from mean 3.8-6.8 to 0-2.8 postoperatively. The recurrent instability rate was 0-10.0% and the revision SCJ surgery rate was 0-16.7%. Rates of RTS (44.4-100%) and RTW (42.9-75.0%) varied greatly among studies. CONCLUSIONS: Reconstruction or repair of the SCJ for the treatment of SCJ instability is associated with good-to-excellent clinical and functional outcomes, low rates of instability recurrence and of revision SCJ surgery, as well as moderate-to-high RTS and RTW rates. LEVEL OF EVIDENCE: Level IV, systematic review of Level III and IV studies.

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)0.009
metaresearch head score (Gemma)0.046
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.046
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0110.012
Bibliometrics0.0100.010
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.045
GPT teacher head0.398
Teacher spread0.354 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations1
Published2025
Admission routes1
Has abstractyes

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