Negative pressure wound therapy for closed incisions in orthopedic trauma surgery: a meta-analysis
Bibliographic record
Abstract
BACKGROUND: This meta-analysis was performed to determine the efficacy of negative pressure wound therapy (NPWT) versus conventional wound dressings for closed incisions in orthopedic trauma surgery. METHODS: A systematic search was performed in PubMed, Embase, and the Cochrane Library databases. The outcome measures included deep surgical site infection (SSI), superficial SSI; wound dehiscence and length of hospital stay. Cochrane collaboration's tool and the Newcastle-Ottawa Scale (NOS) were used to evaluate literature qualities. Meta-analysis was performed using RevMan 5.3 software. RESULTS: A total of 6 studies including 2 randomized controlled trials (RCTs) and 4 cohort studies met our inclusion criteria. NPWT resulted in a significantly lower incidence of deep SSI, superficial SSI, and wound dehiscence than conventional wound dressings. However, no statistically significant difference was found in the length of hospital stay. CONCLUSIONS: NPWT appeared to be an efficient alternative to help prevent SSIs and wound dehiscence on closed incisions in orthopedic trauma surgery. Rational use of NWPT should be based on the presence of patient's condition and risk factors.
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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 | 0.010 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.042 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".