Reamed Exchange Nailing in Nonunion of Tibial Shaft Fractures: A Review of the Current Evidence
Bibliographic record
Abstract
One of the most dreaded complications of fracture management is a nonunion. Nonunions are usually difficult to manage and can be a source of significant mental, physical, and financial distress to the patient. The incidence of nonunion is dependent on multiple factors including degree of comminution, open versus closed, concomitant infection, and vascular status, and therefore the management of such nonunions continues to be an often debated topic. Currently, there is no clear consensus on the role of reamed exchange nailing for tibial shaft nonunions. While reamed exchange nailing for aseptic tibial shaft nonunions has shown promising results, with very high union rates, many surgeons prefer newer novel techniques such as plating along with osteoperiosteal decortication or the use of more conventional compressive plating with bone grafts. The aim of this article is to critically review and understand the available evidence base on reamed exchange nailing in nonunion of tibial shaft fractures and to explore the other options available and their indications.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 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) | 0.004 | 0.001 |
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".