Evidence map›Paper›PMID 41438081›Full record

ArticleiScience2025

Recurrence outcomes of robotic versus laparoscopic surgery for gastric cancer: A multicenter study.

Qing Zhong, Jun-Yu Chen, Meng-Qi Xue, Tai-Yuan Li, Li Zhang, Jun-Jun She, Bao-Qing Jia, Xin-Gan Qin, Shuang-Yi Ren, Hong-Liang Yao and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Qing ZhongDepartment of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Jun-Yu ChenDepartment of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Meng-Qi XuePublic Health School of Fujian Medical University, Fuzhou, China.
Tai-Yuan LiDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Li ZhangDepartment of Gastric Surgery, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China.
Jun-Jun SheDepartment of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Bao-Qing JiaDepartment of General Surgery, The First Medical Centre, PLA General Hospital, Beijing, China.
Xin-Gan QinDepartments of Gastrointestinal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Shuang-Yi RenDepartment of General Surgery, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Hong-Liang YaoDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Qi-Yue ChenDepartment of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Chang-Ming HuangDepartment of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Chao-Hui ZhengDepartment of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While robotic-assisted gastrectomy (RAG) for gastric cancer demonstrates perioperative safety, its long-term oncologic efficacy relative to laparoscopic-assisted gastrectomy (LAG) requires robust evaluation. This multicenter retrospective study, conducted at eight tertiary referral teaching hospitals from January 2015 to June 2019, compared recurrence outcomes between RAG and LAG using propensity score-matched cohorts with 941 patients per group. The analysis revealed no significant differences in the overall postoperative 3-year recurrence rates (15.1% vs. 15.0%,

Indexed as

oncologyoutcomesurgery

Identifiers

PMID41438081
PMCPMC12719744

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.