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Record W3217401196 · doi:10.1016/j.ijsu.2021.106184

Uncut Roux-en-Y might reduce the rate of reflux gastritis after radical distal gastrectomy: An evidence mapping from a systematic review

2021· review· en· W3217401196 on OpenAlexaboutno aff
Yang Li, Quan Wang, Juan Wang, Kewei Jiang, Yingjiang Ye

Bibliographic record

VenueInternational Journal of Surgery · 2021
Typereview
Languageen
FieldMedicine
TopicGastric Cancer Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBillroth IBillroth IIAnastomosisInternal medicineGastrectomyGastroenterologyCochrane LibraryRefluxBile refluxGastroenterostomyOdds ratioConfidence intervalRandomized controlled trialRoux-en-Y anastomosisSurgeryGeneral surgeryGastritisStomachCancerGastric bypassWeight loss

Abstract

fetched live from OpenAlex

BACKGROUND: To evaluate the efficacy, safety, technical feasibility, and effect of reducing the incidence of reflux gastritis from uncut Roux-en-Y (URY) reconstruction after radical distal gastrectomy (RDG) for gastric cancer. METHODS: A literature search was conducted in PubMed, EMBASE, Web of Science, the Cochrane Library, Chinese National Knowledge Infrastructure, and WanFang databases until June 30, 2020, to identify studies comparing URY reconstruction with other gastrointestinal tract reconstruction methods after RDG. The Newcastle-Ottawa Scale (NOS) and the Cochrane Collaboration's risk for bias assessment tool were used to assess the risk of bias. The study was performed using review manager RevMan 5.3.0 software. RESULTS: A total of 35 original studies (six randomized clinical trials (RCTs) and 29 cohort studies) were included in this analysis with a total of 4100 patients. For reflux gastritis, URY anastomosis was significantly superior to the other four types of anastomoses (Billroth-I (odds ratio (OR) = 0.16 [0.10, 0.27], P < 0.00001); Billroth-II (OR = 0.32 [0.20, 0.51], P < 0.00001); Billroth-II with Braun (OR = 0.14 [0.007, 0.26], P < 0.00001), and Roux-en-Y (OR = 0.59 [0.38, 0.91], P = 0.02)). Furthermore, URY anastomosis was better than Billroth-II with Braun (OR = 0.07, 95%confidence interval (CI): [0.02, 0.28], P = 0.0001) and Billroth-II (OR = 0.14, 95%CI: [0.09, 0.24], P < 0.00001) anastomoses for preventing bile reflux. In addition, for anastomotic leakage, URY anastomosis was significantly superior to Roux-en-Y (OR = 0.34, 95%CI: [0.13, 0.87], P = 0.02) anastomosis, and no statistically significant difference between URY and the other three reconstruction methods was found. The postoperative hospital stay of patients receiving URY anastomosis was substantially shorter than those receiving Billroth-II with Braun (MD: 2.84, 95%CI: [-3.16, -1.80], P < 0.00001), Bollroth-II (MD: 1.23, 95%CI: [-2.10, -0.37], P = 0.005) and Roux-en-Y (MD: 1.98, 95%CI: [-2.17, -1.78], P < 0.00001) anastomoses. CONCLUSION: URY reconstruction significantly reduce the rate of reflux gastritis after RDG, and it was a more favorable reconstruction method after RDG for its operative simplicity, safety, and reduced postoperative complications especially in Roux-en-Y stasis syndrome. Large sample size cohort studies and well-designed RCTs are needed for further confirmation of our findings. OTHER: This work was supported by the National Nature Science Foundation of China (No.81871962), Industry-University-Research Innovation Fund in the Ministry of Education of the People's Republic of China (No. 2018A01013) and the Autonomous Intelligent Unmanned System (No. 62088101). This study was registered with PROSPERO (CRD42020200906).

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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)0.014
metaresearch head score (Gemma)0.044
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.044
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0110.012
Bibliometrics0.0090.007
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.108
GPT teacher head0.382
Teacher spread0.274 · 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 designSystematic review
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".

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Citations16
Published2021
Admission routes1
Has abstractyes

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