Evidence map›Paper›PMID 33624430›Full record

ArticleCancer medicine2021

Body composition and risk of gastric cancer: A population-based prospective cohort study.

An-Ran Liu, Qiang-Sheng He, Wen-Hui Wu, Jian-Liang Du, Zi-Chong Kuo, Bin Xia, Yan Tang, Peng Yun, Eddie C Cheung, You-Zhen Tang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 15% of its field
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

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Diet-Induced Obesity ExacerbatesbioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Targeting PI3K/AKT/mTOR and MAPK Signaling Pathways in Gastric Cancer.International journal of molecular sciences · 2024
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. 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

14 authors at 1 institution in 2 countries.

An-Ran LiuDepartment of Clinical Nutrition, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, China.
Qiang-Sheng HeClinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, China.
Wen-Hui WuCenter for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, China.
Jian-Liang DuDivision of Medical Record Management, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, China.
Zi-Chong KuoCenter for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, China.
Bin XiaClinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, China.
Yan TangClinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, China.
Peng YunDepartment of Endocrinology, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, China.
Eddie C CheungCenter for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, China.
You-Zhen TangDepartment of Clinical Nutrition, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, China.
Yu-Long HeClinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, China.ORCID 0000-0002-1902-0963
Chang-Hua ZhangClinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, China.
Jin-Qiu YuanClinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, China.ORCID 0000-0003-0016-776X
Gang SunDepartment of Clinical Nutrition, The Seventh Affiliated Hospital, Sun Yat-sen University, Guangdong Province, China.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recognition of adiposity as a risk factor for gastric cancer is mainly based on traditional anthropometric indices, such as body mass index, which are unable to discriminate between lean and fat mass. We undertook this study to examine body composition and subsequent risk of gastric cancer. This is a prospective analysis of participants free of cancer from the UK Biobank. We measured baseline body composition with electrical bioimpedance analysis and confirmed cancer diagnosis through linkage to cancer and death registries. We evaluated hazard ratios (HRs) and confidence interval (CIs) with COX models adjusting for potential confounders. We documented 326 cases of cancer from 474,929 participants over a median follow-up of 6.6 years. Both male (HR 1.70, 95% CI 1.01 to 2.89) and female participants (HR 2.47, 95% CI 1.15 to 5.32) in the highest quartile of whole body fat-free mass were associated with increased risk of gastric cancer as compared with those in the lowest quartile.Whole body fat mass was associated with a decreased risk of gastric cancer (HR per 5-unit increase 0.86, 95% CI 0.74 to 0.99) in females, but not in males. We concluded that fat-free mass and fat mass may have different effects on gastric cancer risk. This study provided evidence for individualized weight management for the prevention of gastric cancer.

Indexed as

Body CompositionAdiposityAge FactorsConfidence IntervalsElectric ImpedanceFemaleHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesRegistriesRisk FactorsSex FactorsStomach Neoplasmscohort studyfat-free massfat massgastric cancerUK Biobank

Identifiers

PMID33624430
PMCPMC7957174
OpenAlexW3131119145

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.