Neurovascular and Clinical Outcomes of the Percutaneous Endoscopically Assisted Calcaneal Osteotomy (PECO) Technique to Correct Hindfoot Malalignment
Bibliographic record
Abstract
BACKGROUND:: Standard open calcaneal osteotomies to correct hindfoot malalignment have been associated with high complication rates, including nerve damage and wound infection. This has resulted in the development of minimally invasive techniques such as the percutaneous endoscopically assisted calcaneal osteotomy (PECO), which in cadaver studies has been shown to be potentially safer than open surgeries. The aim of this study was to demonstrate the safety and effectiveness of PECO in a clinical setting, with regard to neurovascular injury rates, infection, and short-term radiographic and functional outcomes. METHODS:: Forty-one (41) patients with planovalgus or cavovarus foot deformities underwent treatment using PECO. Outcomes were analyzed at 6 months and primarily included neurovascular outcomes and wound infection rates. Secondarily, radiographic and functional (visual analog scale for pain [VAS], 36-Item Short Form Medical Outcomes Survey [SF-36], and Foot Function Index [FFI] scores) outcomes were also assessed. RESULTS:: There were no reported cases of superficial wound infections, lateral calcaneal or sural nerve dysesthesia. Minor complications occurred in 6/41 feet. The mean postoperative hindfoot correction was 8.3 ± 2.2 mm (range: 6-15mm) compared to preoperative status. Compared to preoperative status, significant improvements ( P = .001 for all) were seen in the VAS, SF-36, and FFI at 6 months postoperatively. CONCLUSIONS:: PECO resulted in minimal complications with no lateral calcaneal or sural nerve dysesthesias and no wound complications. It also resulted in significant improvements in postoperative radiographic and functional outcomes from baseline to 6-months postoperatively, demonstrating its use as a safe and effective means of treating hindfoot malalignment. LEVEL OF EVIDENCE:: Level IV, retrospective case series.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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".