Evidence map›Paper›PMID 33707924›Full record

ArticleChinese journal of cancer research = Chung-kuo yen cheng yen chiu2021

Changing trends of disease burden of gastric cancer in China from 1990 to 2019 and its predictions: Findings from Global Burden of Disease Study.

Tongchao Zhang, Hui Chen, Xiaolin Yin, Qiufeng He, Jinyu Man, Xiaorong Yang, Ming Lu

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Article in Chinese journal of cancer research = Chung-kuo yen cheng yen chiu, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

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52citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

52 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Tongchao ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.
Hui ChenClinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan 250012, China.
Xiaolin YinDepartment of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.
Qiufeng HeDepartment of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.
Jinyu ManDepartment of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.
Xiaorong YangClinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan 250012, China.
Ming LuDepartment of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveChina is one of the countries with the heaviest burden of gastric cancer (GC) in the world. Understanding the epidemiological trends and patterns of GC in China can contribute to formulating effective prevention strategies.

methodsThe data on incidence, mortality, and disability-adjusted life-years (DALYs) of GC in China from 1990 to 2019 were obtained from the Global Burden of Disease Study (2019). The estimated annual percentage change (EAPC) was calculated to evaluate the temporal trends of disease burden of GC, and the package Nordpred in the R program was used to perform an age-period-cohort analysis to predict the numbers and rates of incidence and mortality in the next 25 years.

resultsThe number of incident cases of GC increased from 317.34 thousand in 1990 to 612.82 thousand in 2019, while the age-standardized incidence rate (ASIR) of GC decreased from 37.56 per 100,000 in 1990 to 30.64 per 100,000 in 2019, with an EAPC of -0.41 [95% confidence interval (95% CI): -0.77, -0.06]. Pronounced temporal trends in mortality and DALYs of GC were observed. In the next 25 years, the numbers of new GC cases and deaths are expected to increase to 738.79 thousand and 454.80 thousand, respectively, while the rates of incidence and deaths should steadily decrease. The deaths and DALYs attributable to smoking were different for males and females.

conclusionsIn China, despite the fact that the rates of GC have decreased during the past three decades, the numbers of new GC cases and deaths increased, and will continue to increase in the next 25 years. Additional strategies are needed to reduce the burden of GC, such as screening and early detection, novel treatments, and the prevention of risk factors.

Indexed as

disease burdenGastric cancerpredictionrisk factortemporal trend

Identifiers

PMID33707924
PMCPMC7941685

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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.