The use of transcutaneous oximetry to predict complications of chronic wound healing: A systematic review and meta‐analysis
Why this work is in the frame
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Bibliographic record
Abstract
Transcutaneous oximetry (P(tc) O(2) ) has been proposed as a method to predict nonhealing of chronic wounds and the occurrence of healing complications. However, the validity of this method as an independent predictor and an optimal threshold value for this tool are poorly defined. We undertook a systematic review and meta-analysis to address these questions, searching five major medical databases, relevant review articles, and reference lists. We included all studies that used multivariable analysis to evaluate P(tc) O(2) for its ability to predict chronic wound healing complications. Article selection and data abstraction were conducted independently and in duplicate. Four studies, enrolling 901 patients with 910 lower extremity chronic wounds, met our inclusion criteria. These studies showed that a peri-wound P(tc) O(2) level below a cutoff of 20 mmHg or 30 mmHg was an independent predictor of chronic wound healing complications (odds ratio 3.21, 95% confidence interval 1.07-9.69, I(2) = 77%). A threshold value of 20 mmHg was used most frequently in the included studies and showed the strongest association. This review was limited by the small number of studies, a possible reporting bias, and heterogeneity. These results suggest that P(tc) O(2) measurements have independent prognostic value in the assessment of chronic wounds, but further research is required to confirm these findings and define an optimal threshold value.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 it