Decolonization strategies for ESBL-producing or carbapenem-resistant Enterobacterales carriage: a systematic review and meta-analysis
Bibliographic record
Abstract
The prevalence of extended-spectrum β-lactamase-producing Enterobacterales (ESBL-E) and carbapenem-resistant Enterobacterales (CRE) has become a global public health problem. ESBL-E/CRE colonization can increase the risk of infection in patients and lead to poor disease prognosis. We conducted a systematic review and meta-analysis to evaluate current decolonization strategies regarding ESBL-E/CRE and their efficacy. A literature search was conducted until August 2023 on the five databases to review decolonization strategies associated with ESBL-E/CRE. A meta-analysis was conducted using RevMan 5.4 to compare differences in the decolonization strategy with placebo controls. The primary outcome was decolonization rates, with secondary outcomes of attributable death and adverse events. Quality of identified studies was determined using the Newcastle-Ottawa scale and cochrane risk assessment tool. Random and fixed effects meta-analyses were performed to calculate pooled value. A total of 25 studies were included. In five randomized controlled trial (RCT) studies, the decolonization effect of selective digestive decontamination(SDD) on ESBL-E/CRE at the end of treatment was significantly better in the experimental group than the controls [risk radio (RR): 3.30; 95% CI 1.78-6.14]. In three n-RCT studies, the decolonization effect in the experimental group was still better than the controls one month after SDD therapy [odds ratio (OR): 4.01; 95% CI 1.88-8.56]. The combined decolonization rates reported by six single-arm trial studies of SDD therapy ranged from 53.8 to 68.0%. Additionally, TSA analysis confirmed the effectiveness of SDD therapy. In studies on Faecal microbiota transplantation (FMT) therapy, the decolonization effect of the experimental group was significantly better than the controls 1 month after treatment (OR: 2.57; 95% CI 1.07-6.16). In studies without a control group and with varying follow-up times, the decolonization rates varied widely but indicated the effectiveness trend of FMT therapy (61.3-81.2%). Currently, research on the decolonization effect of probiotic therapy on ESBL-E/CRE is insufficient, and only a systematic review was conducted. SDD and FMT strategies have short-term benefits for ESBL-E/CRE decolonization, but long-term effects are unclear. The effect of probiotic therapy on ESBL-E/CRE decolonization is an interesting topic that still requires further investigation.
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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 | 0.019 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.020 | 0.038 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".