Evidence map›Paper›PMID 40188108›Full record

ArticleBMC cancer2025

Premature death patterns and trends of stomach cancer in Pudong, Shanghai: a population based study.

Gui-Fen Ma, Ya-Yu Huang, Yi-Chen Chen, Zheng Luo, Xiao-Pan Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Gui-Fen MaDepartment of Radioation Oncology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Ya-Yu HuangDepartment of Radioation Oncology, Xiamen Branch, Zhongshan Hospital, Fudan University, Xiamen, 362000, China.
Yi-Chen ChenCenter for Disease Control and Prevention, Pudong New Area, Shanghai, 200136, China.
Zheng LuoZhoupu Hospital, Shanghai University of Medicine & Health Sciences, Shanghai, 201318, China.
Xiao-Pan LiDepartment of Health Management Center, Zhongshan Hospital, Fudan University, No. 180 Fenling Rd., Xuhui, Shanghai, 200032, China. xiaopanli0224@126.com.

Funding

Natural Science Foundation of Fujian Province 2023J05296Shanghai Public Health System Construction Three-year Action Plan Outstanding Youth Talent Training Program GWV-10.2-YQ43
6 · The paper itself

Abstract

backgroundEstimating the disease burden of stomach cancer is essential to developing evidence-based prevention and treatment strategies.

aimsTo analyze the number of deaths and the temporal trends in the mortality and years of life lost (YLL) in relation to gender, age, and the impact of aging and comorbidity via non-communicable diseases on stomach cancer burden in one of the most developed regions of a transitioning country.

methodsMortality data of stomach cancer were collected from the Vital Statistics System of the Pudong New Area, Shanghai, China, from 2005 to 2019. The long-term trends in crude mortality rates (CMR), age-standardized mortality rates worldwide (ASMRW), and rate of YLL(YLLr) were analyzed using the Joinpoint regression program. The aging and non-aging factors affecting the mortality rate were evaluated by the decomposition method.

resultsA total of 11,609 deaths from stomach cancer occurred from 2005 to 2019. The CMR and ASMRW of stomach cancer were 29.83/10

conclusionAge is an important factor affecting the trend of disease burden of stomach cancer. Paying attention to high-risk people may help to reduce the YLL.

Indexed as

Mortality, PrematureStomach NeoplasmsAdolescentAdultAgedAged, 80 and overChinaComorbidityFemaleHumansMaleMiddle AgedYoung AdultAgingDecomposition methodMortalityStomach cancerTransitioning countriesTrend analysisYears of life lost

Identifiers

PMID40188108
PMCPMC11972478

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.