RETRACTED: Risk factors contributing to postoperative surgical site infections in patients undergoing ankle fracture fixation: A systematic review and meta‐analysis
Post-publication record
OpenAlex flags this work as retracted, but it carries no matching Retraction Watch record in this frame.
Bibliographic record
Abstract
Surgical site infections (SSIs) following ankle fracture fixation pose significant challenges in patient recovery and healthcare management. Identifying risk factors contributing to SSIs can aid in developing targeted prevention and treatment strategies. This systematic review and meta-analysis were conducted according to the PRISMA guidelines and the PICO framework. A comprehensive literature search across major databases, including PubMed, Embase, Web of Science and the Cochrane Library, was completed on September 26, 2023. The inclusion criteria encompassed peer-reviewed studies of various designs that investigated risk factors for SSIs post-ankle fracture fixation. Quality assessment was performed using the Newcastle-Ottawa Scale. Statistical analyses assessed heterogeneity and calculated combined effect sizes using fixed- or random-effects models, depending on the heterogeneity observed. The initial search yielded 1250 articles, with seven meeting the inclusion criteria after rigorous screening and full-text review. The included studies, conducted between 2006 and 2019, predominantly utilized case-control designs. The meta-analysis identified diabetes, open fractures, smoking, age, alcohol consumption, ASA score ≥3, high BMI, contaminated incisions, fracture dislocation and heart disease as significant risk factors for postoperative SSIs. Publication bias assessment showed no significant bias across studies. The identification of key risk factors such as diabetes, open fractures, smoking, advanced age, alcohol consumption, high ASA score, elevated BMI, contaminated incisions, fracture dislocation and heart disease is essential in managing SSIs post-ankle fracture fixation. Targeted interventions addressing these risk factors are crucial to reduce the incidence of SSIs and improve overall patient outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.026 | 0.064 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.018 | 0.044 |
| Bibliometrics | 0.012 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".