Evidence map›Paper›PMID 40115913›Full record

ArticleJournal of gastrointestinal oncology2025

The prognostic impact of body mass index on patients with gastric adenocarcinoma and mucinous adenocarcinoma: a retrospective cohort study.

Chen Liang, Hai-Dong Liu, Han-Yi He, Ken Chen, Yi-Xing Huang, Dan Zu, Qi-Mei Bao, Yang-Chan Hu, Guo-Xia Liu, Chun-Kai Zhang and 7 more

Abstract read
In one paragraph

Article in Journal of gastrointestinal oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

17 authors.

Chen LiangPostgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, China.
Hai-Dong LiuGastric Cancer Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Han-Yi HeGastric Cancer Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Ken ChenGastric Cancer Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Yi-Xing HuangGastric Cancer Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Dan ZuGastric Cancer Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Qi-Mei BaoPostgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, China.
Yang-Chan HuGastric Cancer Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Guo-Xia LiuGastric Cancer Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Chun-Kai ZhangPostgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, China.
Yu-Ke ZhongPostgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, China.
Ming-Cong DengGastric Cancer Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Yan-Hua HeGastric Cancer Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Ji JingGastric Cancer Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Yin ShiZhejiang University School of Medicine, Hangzhou, China.
Zu YePostgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, China.
Xiang-Dong ChengPostgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Body mass index (BMI) is considered a negative prognostic factor in gastric cancer (GC), but its impact on different types of pathology remains controversial. The purpose of this study was to investigate the relationship between BMI and clinicopathology and its impact on the prognosis of GC, particularly between adenocarcinoma and mucinous adenocarcinoma subtypes. Methods: This study analyzed 3,081 GC patients who received extensive GC surgery at Zhejiang Cancer Hospital between April 2008 and December 2019. Demographic characteristics, tumor characteristics, and survival data were reviewed from the medical records of all patients. Multivariate Cox regression analysis detected independent risk factors affecting prognosis in GC patients. Furthermore, the correlation between BMI and clinicopathological factors was analyzed using Chi-squared assays. Effects of BMI on overall survival in patients with different pathologic types of GC were determined using the Kaplan-Meier curves. Results: Multivariate Cox regression analysis identified age (P<0.001), BMI (P<0.001), surgery (P<0.001), differentiation (P=0.03), pathological type (P<0.001), nerve invasion (P=0.01), maximum tumor diameter (P=0.05), pathologic tumor (pT) stage (P<0.001), pathologic node (pN) stage (P<0.001), carcinoembryonic antigen (CEA) (P<0.001), and cancer antigen 125 (CA125) (P<0.001) were prognostic factors for GC. Patients were divided into three groups based on BMI (kg/m Conclusions: BMI has a reference value for the prognosis of GC. Patients with a higher BMI had a significantly better prognosis in gastric adenocarcinoma. In mucinous adenocarcinoma, the prognosis of patients in the three BMI groups did not differ significantly.

Indexed as

Body mass index (BMI)gastric cancer (GC)mucinous adenocarcinoma

Identifiers

PMID40115913
PMCPMC11921436

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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.