Incidence of Knee Pain Beyond 1 Year: Suprapatellar Versus Infrapatellar Approach for Intramedullary Nailing of the Tibia
Bibliographic record
Abstract
OBJECTIVE: To compare the magnitude of knee pain between the suprapatellar (SP) and infrapatellar (IP) approach for tibial nailing in patients who are more than 1 year after injury. DESIGN: Retrospective cohort study. SETTING: Academic Level I trauma center. PATIENTS/PARTICIPANTS: All tibia fracture patients 18-80 years of age treated with an intramedullary tibial nail during a 5-year period were retrospectively reviewed for inclusion. The surgical approach was determined by surgeon preference, with 3 of the 9 surgeons routinely using the SP approach. The primary outcome was knee pain during kneeling, with secondary assessments comparing knee pain during resting, walking, and the past 24 hours. INTERVENTION: Intramedullary nailing of a tibia fracture with either the SP or IP approach. MAIN OUTCOME MEASUREMENTS: Knee pain assessed with the Numeric Rating Scale between 0 and 10. A difference of >1.0 was considered to be clinically meaningful. RESULTS: The study group consisted of 262 patients (SP, n = 91; IP, n = 171) with a mean age of 41.4 years (SD = 16.6). The median follow-up was 3.8 years (range: 1.5-7.0). No difference in knee pain during kneeling was detected between the surgical approaches (IP: 3.9, SP 3.8; P = 0.90; mean difference: -0.06, 95% confidence interval, -1 to 0.9). Similarly, no differences were detected in average knee pain scores at rest (IP: 2.0, SP: 2.0; P = 1.00), walking (IP: 2.7, SP 3.0; P = 0.51), or the last 24 hours (IP: 2.6, SP 2.9; P = 0.45). CONCLUSIONS: In contrast to a study conducted by Sun et al, in which there was a statistical difference in knee pain between the SP and IP surgical approaches, we did not detect any statistical or clinical differences in knee pain between the SP and IP surgical approaches among patients with greater than 12 months of follow-up. LEVEL OF EVIDENCE: Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".