Influencing factors for the recurrence of diabetic foot ulcers: A meta‐analysis
Bibliographic record
Abstract
This study aims to systematically review and identify the related influencing factors for the recurrence of diabetic foot ulcers (DFUs)in diabetic patients. We searched PUBMED, EMBASE, Web of Science, Cochrane Library, China Biology Medicine (CBM), China National Knowledge Infrastructure (CNKI), Wan Fang and VIP databases to identify eligible studies published before March 31, 2022 to collect case-control studies or cohort studies on the related influencing factors for the recurrence of DFUs. Two reviewers independently screened the literature, and extracted data. Also, they assessed the risk of bias of the included studies using the Newcastle-Ottawa Scale. A meta-analysis was performed using RevMan5.4.1 software. 20 studies were included; 4238 patients were enrolled, in which 1567 were in the DFU recurrence group and 2671 were in the non-recurrent DFU group. Risk factors for the recurrence of DFUs included diabetic peripheral neuropathy (odds ratio [OR] = 4.05, 95% CI, 2.50-6.58, P < 0.00001), peripheral vascular disease (OR = 3.94, 95% CI, 2.65-5.84, P < 0.00001), poor blood glucose control (OR = 3.27, 95% confidence interval [CI], 2.79-3.84, P < 0.00001), plantar ulcer (OR = 3.66, 95% CI, 2.06-6.50, P < 0.00001), osteomyelitis (OR = 7.17, 95% CI, 2.29-22.47, P = 0.0007), smoking (OR = 1.98, 95% CI, 1.65-2.38, P < 0.00001), history of amputation (OR = 11.96, 95%CI, 4.60-31.14, P < 00001), multidrug-resistant bacterial infection (OR = 3.61, 95%CI, 3.13-4.17, P < 0.00001), callus (OR = 5.70, 95%CI, 1.36-23.89, P = 0.02), previous diabetic foot ulcer (OR = 4.10, 95% CI, 2.58-6.50, P < 0.00001), duration of previous diabetic foot ulcer >60d (OR = 1.02, 95% CI, 1.00-1.03, P = 0.004), history of vascular intervention (OR = 3.20, 95% CI, 2.13-4.81, P < 0.00001) and Wagner grade III/IV (OR = 4.40, 95% CI, 2.21-8.78, P < 0.0001). However, no significant differences were found in age, duration of diabetes, body mass index, total cholesterol or foot deformity. Recurrence of diabetic foot ulcers is affected by a variety of factors. Thus, we should focus on high-risk groups and take targeted interventions as soon as possible to reduce the recurrence rate of DFUs, because of the limited quality and quantity of the included studies, more rigorous studies with adequate sample sizes are needed to verify the conclusion.
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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 | 0.014 | 0.028 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.019 | 0.048 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 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".