Risk Factors for Re-Revision Surgery in Shoulder Arthroplasty
Bibliographic record
Abstract
INTRODUCTION: Revision shoulder arthroplasty is an expensive undertaking with notable morbidity to the patient and less predictable outcomes. Therefore, it is important to avoid even further surgery in these patients. We sought to report the annual revision burden from a large integrated healthcare system and identify patient and operative factors that may predispose patients to revision failure, necessitating further surgery. METHODS: Annual revision burden as a proportion of the overall shoulder arthroplasties performed from 2005 to 2017 was obtained. Patients who underwent aseptic revision between 2005 and 2017 comprised the study sample. Patient characteristics evaluated for re-revision risk included age, sex, body mass index (BMI), race, and diabetes status, whereas surgical characteristics included surgeon cumulative revision volume, revision procedure type, and top reason for revision by primary procedure type. Multivariable Cox proportional hazards regression was used to evaluate the association between the specified factors and re-revision risk. RESULTS: From 2005 to 2017, revisions represented 5.3% to 7.8% of all shoulder arthroplasty procedures performed. Factors associated with re-revision surgery risk by procedure type included increasing BMI and hemiarthroplasty revision procedure compared with reverse total shoulder arthroplasty (RTSA) revision procedure for hemiarthroplasty primaries; diabetes, revision because of instability, and lower cumulative surgeon revision procedure volume for RTSA primaries; and TSA revision procedure compared with RTSA revision procedure for TSA primaries. CONCLUSION: The annual revision shoulder arthroplasty volume increased over the study period. Patient factors, including BMI and diabetes were associated with higher re-revision risks for hemiarthroplasty and RTSA primaries, respectively. RTSA revised for instability had a higher risk of re-revision compared with other indications. TSA and hemiarthroplasty requiring aseptic revision may be best treated with RTSA as opposed to another TSA or hemiarthroplasty. Further studies are needed to verify these findings and identify how the mechanism of failure may affect the procedure selection in the revision setting. LEVEL OF EVIDENCE: Level III.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".