Evidence map›Paper›PMID 35242731›Full record

ArticleFrontiers in public health2022

Influence of Demographic Factors on Long-Term Trends of Premature Mortality and Burden Due to Liver Cancer: Findings From a Population-Based Study in Shanghai, China, 1973-2019.

Zheng Luo, Yongbin Zou, Jiaxin Xie, Hui Cao, Yichen Chen, Yibo Ding, Xiaopan Li, Yang Deng, Lile Wu

Abstract read
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Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing 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.

2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Comparison of abbreviated MRI and ultrasonography in the detection of early hepatocellular carcinoma: a meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Zheng LuoDepartment of Neurology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.
Yongbin ZouDepartment of Oncology, Chenzhou First People's Hospital, Chenzhou, China.
Jiaxin XieDepartment of High Altitude Operational Medicine, Army Medical University, Chongqing, China.
Hui CaoDepartment of Oncology, Chenzhou First People's Hospital, Chenzhou, China.
Yichen ChenCenter for Disease Control and Prevention of Pudong New Area, Fudan University Pudong Institute of Preventive Medicine, Shanghai, China.
Yibo DingDepartment of Epidemiology, Second Military Medical University, Shanghai, China.
Xiaopan LiCenter for Disease Control and Prevention of Pudong New Area, Fudan University Pudong Institute of Preventive Medicine, Shanghai, China.
Yang DengSchool of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China.
Lile WuDepartment of Hepatobiliary Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLiver cancer is one of the most common causes of cancer-related death. Understanding how demographic factors influence mortality due to liver cancer is crucial for optimizing disease-control strategies. We aimed to characterize the long-term trends in the mortality and years of life lost (YLL) of liver cancer in Shanghai, China, 1973-2019, and quantitatively analyze the contributions of demographic and non-demographic factors on the mortality of liver cancer.

methodsUsing mortality data from the Mortality Registration System of Pudong New Area, the largest district of Shanghai with a population of permanent resident of 5.68 million, during 1973-2019, we analyzed the temporal trends for the mortality rates and YLL by Joinpoint Regression Program. The difference decomposition method was employed to estimate the increasing mortality rates related to demographic and non-demographic factors.

resultsA total of 21,530 deaths from liver cancer occurred from 1973 to 2019. The crude mortality rates (CMR) and age-standardized mortality rate by Segi's world standard population (ASMRW) of liver cancer were 26.73/10

conclusionsThe CMR and ASMRW of liver cancer continually decreased although YLL increased during 1973-2019 in Pudong New Area, Shanghai. The demographic factors, especially aging, might be responsible for the increase in the mortality of liver cancer. More effective prevention strategies tailored to liver cancer are needed to further reduce its disease burden in the elderly population.

Indexed as

Liver NeoplasmsMortality, PrematureAdultAgedAgingChinaCost of IllnessFemaleHumansMaledemographic factorsdifference decomposition methodliver cancermortalityyears of life lost

Identifiers

PMID35242731
PMCPMC8885583

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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.