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Record W4280626978 · doi:10.1016/j.ijsu.2022.106684

Safety and effectiveness of overlap esophagojejunostomy in totally laparoscopic total gastrectomy for gastric cancer: A systematic review and meta-analysis

2022· review· en· W4280626978 on OpenAlexaboutno aff
Zhi Guo, Chun Deng, Zhen‐Yu Zhang, Yang Liu, Hengduo Qi, Xiaojun Li

Bibliographic record

VenueInternational Journal of Surgery · 2022
Typereview
Languageen
FieldMedicine
TopicGastric Cancer Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisFunnel plotCochrane LibraryPublication biasAnastomosisRandomized controlled trialGastrectomyMEDLINEConfidence intervalSubgroup analysisSurgeryGeneral surgeryInternal medicineCancer

Abstract

fetched live from OpenAlex

BACKGROUND: Totally laparoscopic total gastrectomy for gastric cancer is limited to few expert surgeons, and a reason for this is the technical difficulty of performing esophagojejunostomy laparoscopically. Overlap has acted as a more popular reconstruction method in recent years; however, its clinical outcomes are inconclusive. Thus, this meta-analysis aimed to provide a higher level of evidence to demonstrate the safety and effectiveness of overlap esophagojejunostomy in totally laparoscopic total gastrectomy. MATERIALS AND METHODS: PubMed, Embase, Cochrane Library, and Web of Science databases were searched up to November 2021 for published English literature on retrospective research, prospective research, and randomized controlled trials of overlap anastomosis versus other anastomoses. Basic information and observation indicators of the included articles were extracted. The Cochrane Risk of Bias tool was used by the same researchers to independently assess the risk of bias in the included randomized controlled trials and evaluate the quality of cohort studies using the Newcastle-Ottawa scale. Review Manager 5.3 was used to produce forest plots for meta-analysis, funnel plots were used to assess publication bias, and sensitivity analysis was performed to evaluate result stability. RESULTS: Overall, 1534 patients from 12 studies were included in this study (738 in and 796 in the overlap and non-overlap groups, respectively). Meta-analysis of the inclusion indicators showed a lower incidence of anastomotic stenosis (OR = 0.19, 95% confidence interval [CI]: 0.09 to 0.41, P < 0.0001) compared with other anastomosis methods, with significant differences in both groups. However, no significal differences were noted between the two groups with respect to operative time (WMD = 13.79, 95% CI: -5.41 to 32.98, P = 0.16), anastomotic time (WMD = 7.18,95% CI: -5.34 to 19.69, P = 0.26), intraoperative blood loss (WMD = 19.96, 95% CI: -17.80 to 57.72, P = 0.30), number of retrieved lymph nodes (WMD = -1.33, 95% CI: -6.24 to 3.57, P = 0.59), time to first flatus (WMD = -0.11, 95% CI: -0.25 to 0.04, P = 0.14), postoperative hospital stay (WMD = -0.09, 95% CI: -1.59 to 1.41, P = 0.90), anastomotic leak (OR = 1.23, 95% CI: 0.67 to 2.27, P = 0.50), anastomotic bleeding (OR = 0.87, 95% CI: 0.28 to 2.67, P = 0.80), postoperative pulmonary infection (OR = 0.94, 95% CI: 0.34 to 2.57, P = 0.90), and mortality (OR = 1.33, 95% CI: 0.27 to 6.48, P = 0.72). CONCLUSIONS: Overlap esophagojejunostomy is a safe and effective procedure during totally laparoscopic total gastrectomy. It is superior to other types of anastomosis in reducing anastomotic stenosis rates.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.709
Threshold uncertainty score0.893

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0080.003
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.075
GPT teacher head0.372
Teacher spread0.297 · 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 teacher head, 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

Citations30
Published2022
Admission routes1
Has abstractyes

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