Treatment of tibial plateau fractures: A comparison of two different operation strategies with medium-term follow up
Bibliographic record
Abstract
Background: The objective of this study was to compare the clinical and radiological outcomes of two surgical methods for tibial plateau fractures (TPFs): minimally invasive surgery (MIS) using a double reverse traction repositor and traditional open reduction internal fixation (ORIF). Methods: From our prospectively collated database, 187 consecutive adult patients with 189 operatively treated TPFs in our level I trauma center were included from January 2015 to March 2018 who had a minimum of three years' follow-up. All cases were performed by the senior surgeon using either MIS (group 1, 84 patients with 84 TPFs) or ORIF (group 2, 103 patients with 105 TPFs). Details of the demographics, injury mechanism, pre- and postoperative follow-up imaging, operative procedures and complications were collected. The final results from the 36-Item Short-Form Health Survey (SF-36), Western Ontario and McMaster Universities Osteoarthritis index (WOMAC) and Hospital for Special Surgery (HSS) were obtained at the final follow-up. Results: = 0.001). Radiologically, significant intergroup differences were observed in the loss of immediate postoperative reduction rates, secondary loss of reduction rates and signs of osteoarthritis (Kellgren-Lawrence). Two and ten superficial infections in group 1 (2.4%) and group 2 (9.5%), respectively, and 6 lateral popliteal nerve palsy cases occurred (0 MIS, 6 ORIF), with significant intergroup differences. Conclusion: Our study shows that the MIS using a double reverse traction repositor is promising and safe technique for the TPFs when used for the correct indications. The translational potential of this article: The current status of using a minimally invasive surgery for the treatment of TPFs have been analyzed and a new method of using a double reverse traction repositor for the treatment of TPFs have been proposed in this study, which updated treatment concept of TPFs.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".