Evidence map›Paper›PMID 31015269›Full record

Observational studyBMJ open2019

Disease burden of liver cancer in China from 1997 to 2016: an observational study based on the Global Burden of Diseases.

Cheng Ding, Xiaofang Fu, Yuqing Zhou, Xiaoxiao Liu, Jie Wu, Chenyang Huang, Min Deng, Yiping Li, Lanjuan Li, Shigui Yang

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Current status of drug therapy for chronic hepatitis B.World journal of gastroenterology · 2025
    Article
  4. Article
  5. Medecine tropicale et sante internationale · 2024
    Article
  6. Article
  7. Mortality Burden of Liver Cancer in China: An Observational Study From 2008 to 2020.Journal of clinical and translational hepatology · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

10 authors.

Cheng Ding *State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Xiaofang Fu *State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Yuqing ZhouState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Xiaoxiao LiuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Jie WuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Chenyang HuangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Min DengState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Yiping LiDigital medicine, Zhejiang Institute of Medical Care Information Technology, Hangzhou, Zhejiang, China.
Lanjuan LiState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.ORCID 0000-0001-6945-0593
Shigui YangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.ORCID 0000-0002-0147-297X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the trends in disease burden and the epidemiological features of liver cancer in China while identifying potential strategies to lower the disease burden.

designObservational study based on the Global Burden of Diseases.

participantsData were publicly available and de-identified and individuals were not involved. MEASUREMENT AND

methodsTo measure the liver cancer burden, we extracted data from the Global Health Data Exchange using the metrics of prevalence, incidence, mortality and disability-adjusted life years (DALYs). Joinpoint and negative binomial regressions were applied to identify trends and risk factors.

resultsFrom 1997 to 2016, the prevalence, incidence, mortality and DALYs of liver cancer in China were from 28.22/100 000 to 60.04/100 000, from 27.33/100 000 to 41.40/100 000, from 27.40/100 000 to 31.49/100 000 and from 10 311 308 to 11 539 102, respectively. The prevalence, incidence and mortality were increasing, with the average annual percent changes (AAPCs) of 4.0% (95% CI 3.9% to 4.2%), 2.1% (95% CI 2.0% to 2.2%) and 0.5% (95% CI 0.2% to 0.9%), respectively. Meanwhile, the rate of DALYs was stable with the AAPCs of -0.1% (95% CI -0.4% to 0.3%). The mortality-to-incidence ratio of liver cancer decreased from 1.00 in 1997 to 0.76 in 2016 (β=-0.014, p<0.0001). Males (OR: 2.98, 95% CI 2.68 to 3.30 for prevalence, OR: 2.45, 95% CI 2.21 to 2.71 for incidence) and the elderly individuals (OR: 1.57, 95% CI 1.55 to 1.59 for prevalence, OR: 1.58, 95% CI 1.56 to 1.60 for incidence) had a higher risk. Hepatitis B accounted for the highest proportion of liver cancer cases (55.11%) and deaths (54.13%).

conclusionsThe disease burden of liver cancer continued to increase in China with viral factors as one of the leading causes. Strategies such as promoting hepatitis B vaccinations, blocking the transmission of hepatitis C and reducing alcohol consumption should be prioritised.

Indexed as

AdolescentAdultAgedAged, 80 and overChinaCost of IllnessFemaleHumansIncidenceLiver NeoplasmsMaleMiddle AgedPrevalenceQuality-Adjusted Life YearsRegression AnalysisRisk Factorsdisease burdenepidemicsliver cancerrisk factors

Identifiers

PMID31015269
PMCPMC6500226

What OpenQuestion holds

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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.