Analysis of Total Ankle Arthroplasty Survival in the United States Using Multiple State Databases
Bibliographic record
Abstract
UNLABELLED: The aim of this study was to evaluate survivorship and risk factors for failure of total ankle arthroplasty (TAA) in the United States using large statewide, multipayer databases of inpatient discharges. TAA patients from 2005 to 2009 were identified from the Healthcare Cost and Utilization Project databases for 5 states (California, Florida, Nebraska, North Carolina, and Utah) and the New York Department of Health Statewide Planning and Research Cooperative System database. Patient demographics and clinical characteristics were extracted, and a multivariable logistic regression model was developed to assess risk factors for 90-day all-cause readmission and failure. Failure was defined as revision, arthrodesis, amputation, or implant removal. During the period of interest, 1545 patients received 1593 TAA. The coded etiology of arthritis was primary osteoarthritis (n = 854, 55.2%), posttraumatic arthritis (n = 466, 30.2%), rheumatoid arthritis (n = 129, 8.4%), and other (n = 96, 6.2%). The 5-year survival rate was 90.1%. Patients with a coded diagnosis of rheumatoid arthritis (odds ratio [OR] = 2.18; 95% confidence interval [CI] = 1.04-4.01) or who were readmitted within 90 days of TAA (OR = 3.41; 95% CI = 1.67-6.97) had significantly increased risk of failure. Risk factors for readmission were Charlson-Deyo Score ≥2 (OR = 3.05; 95% CI = 1.51-6.15) and increased length of stay during the arthroplasty (OR = 1.30; 95% CI = 1.16-1.47). LEVELS OF EVIDENCE: Therapeutic, Level IV: Observational study.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".