Evidence map›Paper›PMID 29439081›Full record

ArticleBMJ open2018

Long-term trends of liver cancer mortality by gender in urban and rural areas in China: an age-period-cohort analysis.

Yuanyuan Sun, Yanhong Wang, Mengmeng Li, Kailiang Cheng, Xinyu Zhao, Yuan Zheng, Yan Liu, Shaoyuan Lei, Li Wang

Abstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Mortality Burden of Liver Cancer in China: An Observational Study From 2008 to 2020.Journal of clinical and translational hepatology · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Burden of liver cancer: From epidemiology to prevention.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2022
    Article
  12. [Expanding antiviral therapy for chronic hepatitis B: scale up screening and treatment].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022
    Article
  13. [Expert opinion on expanding anti-HBV treatment for chronic hepatitis B].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022
    Article
  14. Article
  15. Review
  16. Article
  17. Contrasting Trends of Primary Liver Cancer Mortality in Chinese Mongol and Non-Mongol.Asian Pacific journal of cancer prevention : APJCP · 2021
    Article
  18. Article
  19. Article
  20. 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

9 authors.

Yuanyuan SunDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
Yanhong WangDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
Mengmeng LiDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
Kailiang ChengDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
Xinyu ZhaoDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
Yuan ZhengDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
Yan LiuDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
Shaoyuan LeiDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.
Li WangDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo provide an up-to-date overview of long-term trends of liver cancer mortality and evaluate the effects attributable to age, period and cohort in Chinese population stratified by gender and urban/rural areas.

methodsPopulation and liver cancer mortality data were obtained based on the Disease Surveillance Points in China from 1991 to 2014. To examine the time trends of liver cancer mortality by gender in urban and rural areas in China, Joinpoint analysis was used to estimate the annual per cent change. The intrinsic estimator, a method of age-period-cohort analysis to estimate age, period and cohort effects simultaneously, was used to analyse the underlying mechanisms for liver cancer mortality trends in the aforementioned four groups.

resultsWe observed a significant decline in liver cancer mortality for urban men (average annual per cent change (AAPC)=-1.1%, P<0.05) and urban women (AAPC=-1.4%, P<0.05), while the liver cancer mortality remained stable for rural men (AAPC=-0.1%, P>0.05) and rural women (AAPC=-0.9%, P>0.05). Compared with the 15-19 age group, the liver cancer mortality risk of the 85 and above age group increased 65 and 42 times for urban and rural men, and 102 and 70 times for urban and rural women. From the 1990-1994 period to the 2005-2009 period, the risk increased 56% and 92% for urban and rural men, and 30% and 74% for urban and rural women. Compared with period and cohort effects, age effects were the most influential factor in liver cancer mortality.

conclusionsAs the status of ageing population in China gets worse, the burden caused by liver cancer mortality could still be a great challenge for China in the future. The disparity of liver cancer mortality trends between urban and rural residents can be attributed to period effects, referring to the unequal medical levels and resources between urban and rural areas.

Indexed as

AdolescentAdultAgedAged, 80 and overAge DistributionBayes TheoremChinaCohort StudiesFemaleHumansLinear ModelsLiver NeoplasmsMaleMiddle AgedRural PopulationSex Distributionage-period-cohort analysisliver cancertime trends

Identifiers

PMID29439081
PMCPMC5829896

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.