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Record W4410794906 · doi:10.1177/17585732251345077

The use of pyrocarbon as a bearing surface in shoulder arthroplasty: A systematic review and meta-analysis

2025· review· en· W4410794906 on OpenAlexaff
Geoffrey W Schemitsch, Patrick J. Carroll, Patrick Henry, Diane Nam, Ujash Sheth

Bibliographic record

VenueShoulder & Elbow · 2025
Typereview
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreWestern UniversityUniversity of Toronto
Fundersnot available
KeywordsMedicineConfidence intervalArthroplastyImplantMeta-analysisDemographicsRange of motionSurgeryProspective cohort studyInternal medicine

Abstract

fetched live from OpenAlex

Background: Pyrocarbon has been trialed as an alternative bearing surface to metal for young active patients with glenohumeral joint arthritis. The aim of this study was to systematically review and summarize the available evidence on reported outcomes of pyrocarbon implants in shoulder arthroplasty. Methods: A systematic review was conducted according and reported according to standardized guidelines. Patient demographics, complications, implant survivorship and patient-reported outcome measures were extracted and included in the quantitative analysis. Outcome data was summarized with weighted mean differences and proportions. Results: Fifteen studies were included with 904 patients and a median follow-up of 38 months. The pooled mean range of motion improvement was 43.9 degrees (95% confidence interval [95% CI] 36.7-51.2) in forward elevation and 24.1 degrees (95% CI 18.4-29.9) in external rotation. Pooled mean Constant Score improvement was 34.7 (95% CI 29.4-40.1) and Subjective Shoulder Value improvement was 40.6 (95% CI 33.4-47.8). The overall pooled re-operation rate was 8.03% (95% CI 5%-12.7%). Discussion: Pyrocarbon shoulder implants demonstrated improvements in functional outcomes with low revision rates at early- to mid-term follow-up. Further well-designed prospective studies with long-term follow-up are required to verify the safety and efficacy of pyrocarbon implants in shoulder arthroplasty.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.726
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0130.004
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.145
GPT teacher head0.398
Teacher spread0.253 · 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 designMeta-analysis
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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