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Record W4414050119 · doi:10.1093/dote/doaf061.034

228. EFFICACY AND SAFETY OF SELECTIVE DECONTAMINATION OF THE DIGESTIVE TRACT IN ESOPHAGEAL SURGERY: A SYSTEMATIC REVIEW AND META-ANALYSIS

2025· review· en· W4414050119 on OpenAlexaboutno aff
Justin G. A. Grootenhuis, Ward Seurs, Nynke G L Jager, Jaap ten Oever, Hans Van Veer, Bastiaan Klarenbeek, Jeroen Schouten

Bibliographic record

VenueDiseases of the Esophagus · 2025
Typereview
Languageen
FieldMedicine
TopicEsophageal and GI Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsPerioperativeEsophagectomyPneumoniaIncidence (geometry)Cochrane LibraryAdverse effectAntimicrobialConfidence interval

Abstract

fetched live from OpenAlex

Abstract Background Esophagectomy is a complex surgical procedure with high morbidity and mortality mainly caused by postoperative infectious complications such as pneumonia and anastomotic leakage. Selective digestive decontamination (SDD) is a perioperative prophylactic non-absorbable antimicrobial strategy aimed to reduce postoperative infectious complications potentially lowering the density of pathogenic organisms in the oropharynx and esophagus. SDD has shown benefits in reducing infectious complications in intensive care units and lower gastrointestinal surgery. However, its efficacy and safety in patients undergoing esophagectomy is unclear, prompting this study to evaluate its perioperative use in these patients. Methods A systematic review and meta-analysis was conducted, including all study types regardless of design, by searching PubMed, Cochrane, Embase and Web of Science for publications up to October 2024. The primary outcome was efficacy, measured by the incidence of pneumonia, anastomotic leakage (AL), surgical site infection (SSI) and mortality. The secondary outcome was safety, measured by the occurrence of side effects and adverse events. The Cochrane risk of bias assessment tool and Newcastle-Ottawa quality assessment scale were used to assess risk of bias. Results Out of 616 articles screened, a total of 7 studies were included, with 487 patients in the SDD and 587 patients in the control group. SDD significantly reduced the incidence of pneumonia (odds ratio (OR) 0.42, 95% confidence interval (CI): 0.3–0.58, P < 0.01), anastomotic leakage (OR 0.43, 95% CI: 0.29–0.65, P < 0.01) and 30-day mortality (OR 0.25, 95% CI: 0.07 to 0.94; P = 0.04). No statistically significant difference was found regarding SSI (P = 0.20) and in hospital mortality (P = 0.28). Adverse events were scarcely reported, and those reported were mild, including an unpleasant taste and smell, sporadically resulting in nausea or vomiting. Conclusion This systematic review and meta-analysis, although composed of a limited number of studies, demonstrates that perioperative SDD reduces the risk of pneumonia, anastomotic leakage, and 30-day mortality following esophagectomy. Safety did not appear to be an issue, as the reported incidence of adverse events was minimal. However, none of the studies has provided systematic documentation of adverse events. Therefore, the evidence for SDD remains limited, highlighting the need for a large multicenter randomized controlled trial. To address this, the PERSuaDER trial is currently being conducted across Belgian and Dutch hospitals.

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 imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.034
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0190.039
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.029
GPT teacher head0.329
Teacher spread0.300 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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