ArticleFrontiers in oncology2026
Socio-demographic disparities in liver cancer mortality in China: a national analysis from 2015 to 2021.
Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Liver cancer remains a leading cause of cancer-related mortality in China. Analyses based solely on crude mortality rates may obscure temporal trends and inequalities in the context of rapid population aging. This study examined recent trends and socio-demographic disparities in liver cancer mortality in China using age-standardized analyses. Methods: We conducted a population-based analysis using data from the China National Mortality Surveillance System covering all 31 provincial-level regions of mainland China from 2015 to 2021. Liver cancer deaths were identified using ICD-10 code C22. Mortality rates were calculated for adults aged ≥20 years. Age-standardized mortality rates (ASMRs) were estimated by direct standardization to the 2010 China standard population. Temporal trends were assessed using joinpoint regression to estimate annual percent change (APC) and average annual percent change (AAPC). Disparities by sex, urban-rural residence, and geographic region were quantified using rate differences (RD), rate ratios (RR), and an index of disparity. Decomposition analysis was applied to assess the contributions of population aging and changes in age-specific mortality rates to crude mortality trends. Results: Between 2015 and 2021, a total of approximately 470,000 liver cancer deaths were recorded. The crude mortality rate changed modestly, whereas the ASMR declined steadily from 30.16 per 100,000 in 2015 to 23.60 per 100,000 in 2021. Joinpoint regression showed a significant overall decline in ASMRs (AAPC -4.0%, 95% CI -5.2% to -2.8%), with no statistically significant joinpoints detected. Throughout the study period, males had substantially higher ASMRs than females (2021: 36.9 vs. 13.8 per 100,000; RR = 2.67). Rural areas consistently exhibited higher ASMRs than urban areas, with the rural-urban RD widening from 6.4 per 100,000 in 2015 to 8.5 per 100,000 in 2021. Regionally, ASMRs declined more rapidly in Eastern China (29.7 to 22.6 per 100,000) than in Central (31.1 to 29.8 per 100,000) and Western China (30.4 to 28.7 per 100,000), resulting in increasing regional disparity. Age-specific mortality increased sharply with advancing age. Decomposition analysis indicated that population aging increased crude mortality, partially offset by reductions in age-specific mortality rates. Conclusions: Liver cancer mortality in China declined from 2015 to 2021 after age standardization; however, substantial and widening disparities by sex, urban-rural residence, age, and region persist. These findings highlight the importance of age-standardized and equity-focused approaches to liver cancer prevention and control.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.