Outcomes of Elastic Stable Intramedullary Nailing for Surgical Treatment of Pediatric Tibial Shaft Fractures
Bibliographic record
Abstract
BACKGROUND: This retrospective study aimed to assess radiographic and clinical outcomes, characterize demographic, injury, and fracture characteristics, and elucidate the rate of postoperative complications and associated factors in a large cohort of children treated with elastic stable intramedullary nail for diaphyseal tibial fractures at two large pediatric referral centers. METHODS: Medical records were reviewed for demographic clinical and radiographic parameters at injury, surgery, and all subsequent clinical visits until radiographic healing was observed and/or for a minimum of 6 months postoperatively. RESULTS: A total of 146 patients (79.5% male) were included. The mean (SD) age was 11.8 (63.0) years. Radiographic union occurred by 3 months in 56.6% of patients. Nine patients had delayed union, and four had nonunion. By 3 months postoperatively, 97.2% of patients had progressed to full weight bearing and 92.5% had full range of motion of the knee and ankle. Subgroup analyses revealed that patients with open fractures were found to be more than eight times at increased risk of developing delayed union (.6 months, odds ratio = 8.71). CONCLUSION: Elastic stable intramedullary nail remains a safe and effective treatment of open and closed pediatric diaphyseal tibial fractures. A small yet notable risk of residual angular deformity, delayed union, and nonunion remains, although rates may be better than previously reported.
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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 | 0.000 | 0.003 |
| 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".