Electrical Stimulation for Fracture Healing: Current Evidence
Bibliographic record
Abstract
This article provides an overview of the biology behind the use of electrical stimulation in fracture healing and discusses the current methods of electrical bone growth stimulation. In addition, we review the best available clinical evidence for the use of electrical stimulation in the treatment of delayed and nonunions of fractures. Our search identified 4 meta-analyses on the use of electrical stimulation on fracture healing. The most methodologically rigorous and recent meta-analysis suggests that the current evidence is insufficient to conclude a benefit of electromagnetic stimulation in improving the rate of union in patients with a fresh fracture, osteotomy, delayed union, or nonunion. The other 3 meta-analyses that we identified suggested a more significant treatment effect from electrical stimulation. Although the evidence supporting electrical stimulation does trend in favor of its use to help achieve bony union, further large, multicenter, randomized, controlled trials are required to resolve the current uncertainty surrounding the use of electrical stimulation and fracture healing.
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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 | 0.009 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".