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S3178 Double-Tract Versus Esophagogastrostomy Reconstruction After Proximal Gastrectomy: Which Method Wins on Outcomes? A Systematic Review and Meta-Analysis

2025· article· en· W4417249855 on OpenAlexaboutno aff
Fariha Hasan, Zain Ul Abideen, Muhammad Hassan Waseem, Sania Aimen, Noor Ul Huda Ramzan, Prasun K. Jalal

Bibliographic record

VenueThe American Journal of Gastroenterology · 2025
Typearticle
Languageen
FieldMedicine
TopicGastric Cancer Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsAnastomosisConfidence intervalFunnel plotMeta-analysisRefluxCochrane collaborationHazard ratioGastrectomyRelative risk

Abstract

fetched live from OpenAlex

Introduction: Proximal gastrectomy (PG) is a treatment option for early-stage gastric cancer in the upper one-third of the stomach. The optimal reconstruction method after PG remains a topic of debate. This meta-analysis aimed to compare the surgical outcomes of the double-tract reconstruction (DTR) and esophagogastrostomy (EG) reconstruction methods after PG. Methods: Electronic databases like PubMed, Cochrane Central, and ScienceDirect were searched from inception until January 2025. This review adhered closely to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Risk ratios (RR) and mean differences (MD) with 95% confidence intervals (CI) were pooled under the random effects model using the Review Manager software version 5.4.1 for the dichotomous and continuous outcomes. The primary and secondary endpoints of interest were reflux esophagitis, anastomotic stricture, anastomotic leakage, operative time (min), intraoperative blood loss (ml), and postoperative hospital stay (days). Quality assessment was done through the Cochrane Risk of Bias (RoB) 2.0 tool and the Newcastle Ottawa Scale. Publication bias was assessed visually through funnel plots and statistically through Egger’s regression test. Leave-one-out sensitivity analysis was conducted to assess the source of heterogeneity. Results: Eleven studies pooling a total of 744 patients were included in this meta-analysis. DTR significantly decreased reflux esophagitis compared to EG (RR = 0.25; 95% CI 0.17-0.35; P < 0.00001; I2 = 0%). DTR was also associated with a lower risk of anastomotic stricture (RR = 0.25; 95% CI 0.11-0.54; P = 0.0004; I2 = 15%) and a longer operating time (MD = 29.73 min; 95% CI 19.76-39.71; P < 0.00001; I2 = 7%). Other outcomes including the anastomotic leakage (RR = 0.75; 95% CI 0.42-1.36; P = 0.34; I2 = 0%), intraoperative blood loss (MD = 2.99 ml; 95% CI:-5.00-10.99; P = 0.46; I2 = 0%), and postoperative hospital stay (MD = 0.33 days; 95% CI -0.60-1.27; P = 0.48; I2 = 47%) were comparable between the DTR and EG groups. Conclusion: The DTR group showed a lower risk of reflux esophagitis and anastomotic stricture with a longer operating time. Other outcomes including the anastomotic leakage, intraoperative blood loss and postoperative hospital stay were comparable between the 2 reconstruction techniques. These findings suggest DTR offers better functional outcomes and may be preferred for reducing postoperative complications.

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)0.021
metaresearch head score (Gemma)0.044
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.981
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.044
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0190.036
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0050.002
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.026
GPT teacher head0.342
Teacher spread0.316 · 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.

Study designMeta-analysis
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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