Endstage arthritis following tibia plateau fractures: average 10-year follow-up
Bibliographic record
Abstract
BACKGROUND: Patients with tibial plateau fractures are believed to have an increased risk for posttraumatic arthritis that may require reconstructive surgery. The incidence of this problem is, however, unknown. We sought to determine the average 10-year incidence of posttraumatic arthritis necessitating reconstructive surgery following tibia plateau fractures. METHODS: We used data from our orthopedic trauma database to identify patients with operatively treated tibia plateau fractures. Their cases were cross-referenced with the data from our province's administrative health database and tracked overtime for the performance of reconstructive knee surgery. The average follow-up was 10 years. RESULTS: There were 311 tibial plateau fractures treated at our institution between 1987 and 1994. The 10-year Kaplan-Meier survival analysis for the primary outcome of endstage arthritis was 96%. Analysis of the secondary outcome measure, specifically surgeries for what was thought to be "minor arthritis," revealed a 10-year Kaplan-Meier survival of 87%. CONCLUSION: Our findings may be used to counsel patients who require surgical treatment of tibia plateau fractures about the long-term risk of requiring reconstructive knee surgery for endstage arthritis in the knee.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".