Smoking, Obesity, and Disability Benefits or Litigation Are Not Associated with Clinically Important Reductions in Physical Functioning After Intramedullary Nailing of Tibial Shaft Fractures: A Retrospective Cohort Study
Bibliographic record
Abstract
BACKGROUND: Forty percent of long bone fractures involve the tibia. These fractures are associated with prolonged recovery and may adversely affect patients' long-term physical functioning; however, there is limited evidence to inform what factors influence functional recovery in this patient population. QUESTION/PURPOSE: In a secondary analysis of a previous randomized trial, we asked: What fracture-related, demographic, social, or rehabilitative factors were associated with physical function 1 year after reamed intramedullary nailing of open or closed tibial shaft fractures? METHODS: This is a secondary (retrospective) analysis of a prior randomized trial (Trial to Re-evaluate Ultrasound in the Treatment of Tibial Fractures; TRUST trial). In the TRUST trial, 501 patients with unilateral open or closed tibial shaft fractures were randomized to self-administer daily low-intensity pulsed ultrasound or use a sham device, of which 15% (73 of 501) were not followed for 1 year due to early study termination as a result of futility (no difference between active and sham interventions). Of the remaining patients, 70% (299 of 428) provided full data. All fractures were fixed using reamed (298 of 299) or unreamed (1 of 299) intramedullary nailing. Thus, we excluded the sole fracture fixed using unreamed intramedullary nailing. The co-primary study outcomes of the TRUST trial were time to radiographic healing and SF-36 physical component summary (SF-36 PCS) scores at 1-year. SF-36 PCS scores range from 0 to 100, with higher scores being better, and the minimum clinically important difference (MCID) is 5 points. In this secondary analysis, based on clinical and biological rationale, we selected factors that may be associated with physical functioning as measured by SF-36 PCS scores. All selected factors were inserted simultaneously into a multivariate linear regression analysis. RESULTS: After adjusting for potentially confounding factors, such as age, gender, and injury severity, we found that no factor showed an association that exceeded the MCID for physical functioning 1 year after intramedullary nailing for tibial shaft fractures. The independent variables associated with lower physical functioning were current smoking status (mean difference -3.0 [95% confidence interval -5 to -0.5]; p = 0.02), BMI > 30 kg/m2 (mean difference -3.0 [95% CI -5.0 to -0.3]; p = 0.03), and receipt of disability benefits or involvement in litigation, or plans to be (mean difference -3.0 [95% CI -5.0 to -1]; p = 0.007). Patients who were employed (mean difference 4.6 [95% CI 2.0 to 7]; p < 0.001) and those who were advised by their surgeon to partially or fully bear weight postoperatively (mean difference 2.0 [95% CI 0.1 to 4.0]; p = 0.04) were associated with higher physical functioning. Age, gender, fracture severity, and receipt of early physical therapy were not associated with physical functioning at 1-year following surgical fixation. CONCLUSION: Among patients with tibial fractures, none of the factors we analyzed, including smoking status, receipt of disability benefits or involvement in litigation, or BMI, showed an association with physical functioning that exceeded the MCID. LEVEL OF EVIDENCE: Level III, therapeutic study.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".