Evidence map›Paper›PMID 41654824›Full record

ArticleBMC cancer2026

Trend analysis of liver cancer mortality in Chinese residents from 2002 to 2021.

Yuxin Wang, Miao Lu, Xu Su, Chunying Cui, Wei Zhang, Guoping Wang

Abstract read
In one paragraph

Article in BMC cancer, 2026. 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

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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

6 authors.

Yuxin WangSchool of Anesthesiology, Wannan Medical College, Wuhu, China.
Miao LuSchool of Public Health, Wannan Medical College, Wuhu, China.
Xu SuSchool of Anesthesiology, Wannan Medical College, Wuhu, China.
Chunying CuiSchool of Humanities and Management, Wannan Medical College, No. 22 Wenchang West Road, Yijiang District, Wuhu, China.
Wei ZhangSchool of Marxism, Wannan Medical College, No. 22 Wenchang West Road, Yijiang District, Wuhu, China. 1024031413@qq.com.
Guoping WangSchool of Humanities and Management, Wannan Medical College, No. 22 Wenchang West Road, Yijiang District, Wuhu, China. 304111225@qq.com.

Funding

the Major Project of Humanities and Social Sciences of the Anhui Provincial Education Department Grant No. SK2019ZD19
6 · The paper itself

Abstract

backgroundTo analyze trends in liver cancer mortality rates among Chinese residents from 2002 to 2021, which are currently unknown.

methodsIn accordance with the standardisation of liver cancer mortality rates obtained from the “Causes of Illness, Injury, and Death Among Residents” section of the China Health Statistics Yearbook (2002–2021), these rates were analysed for temporal trends using the Joinpoint regression model. A subsequent cohort analysis was conducted using an age-period-cohort (APC) model to investigate the impact of age, period, and birth cohort on these changes.

resultsOver the 20-year evaluation period, the standardized mortality rate of liver cancer among Chinese residents exhibited a fluctuating downward trend, with rural residents experiencing a faster decline than urban residents (AAPC of -2.9 and − 2.7, respectively; P < 0.05). However, the standardized mortality rate of liver cancer was higher among rural residents than among those from urban areas and was higher among males than among females. Liver cancer standardised mortality rate exhibited an increasing trend with respect to age. Regarding the cohort effect, liver cancer mortality gradually decreased in more recent birth cohorts.

conclusionIn recent years, the mortality rate of liver cancer among Chinese residents has generally declined; however, it remains relatively high, especially in rural individuals and middle-aged men. Vaccination of hepatitis virus, clean drinking water and healthy foods, regular physical examinations, good lifestyle habits, and improved medical standards are the keys to reducing the risk of liver cancer-related death in China.

Indexed as

Liver NeoplasmsAdolescentAdultAgedAged, 80 and overChinaCohort StudiesFemaleHumansMaleMiddle AgedMortalityRural PopulationUrban PopulationYoung AdultJoinpoint regressionLiver cancerMortalityTrend

Identifiers

PMID41654824
PMCPMC12977428

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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.