Evidence map›Paper›PMID 38178090›Full record

ArticleBMC cancer2024

Regular use of paracetamol and risk of liver cancer: a prospective cohort study.

Liang Tian, Ningning Mi, Leiqing Wang, Chongfei Huang, Wenkang Fu, Mingzhen Bai, Long Gao, Haidong Ma, Chao Zhang, Yawen Lu and 9 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

19 authors at 4 institutions in 1 country.

Liang Tian *The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.
Ningning Mi *The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.
Leiqing Wang *The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.
Chongfei Huang *The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.
Wenkang FuThe First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.
Mingzhen BaiThe First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.
Long GaoThe First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.
Haidong MaThe First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.
Chao ZhangThe First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.
Yawen LuThe First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.
Jinyu ZhaoThe First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.
Xianzhuo ZhangThe First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.
Ningzu JiangThe First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.
Yanyan LinThe First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.
Ping YueThe First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.
Bin XiaClinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, 518107, China.
Qiangsheng HeClinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, 518107, China. heqsh@mail2.sysu.edu.cn.
Jinqiu YuanClinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, 518107, China. yuanjq5@mail.sysu.edu.cn.
Wenbo MengThe First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China. mengwb@lzu.edu.cn.
First Hospital of Lanzhou University · CNLanzhou University · CNThe Seventh Affiliated Hospital of Sun Yat-sen University · CNSun Yat-sen University · CN

Funding

Medical Innovation and Development Project of Lanzhou University lzuyxcx-2022-157National Natural Science Foundation of China 82060551Scientific Research Project of Department of Education of Gansu Province 2022CXZX-158The Natural Science Foundation of Gansu Province 23JRRA0956
6 · The paper itself

Abstract

backgroundParacetamol induces hepatotoxicity and subsequent liver injury, which may increase the risk of liver cancer, but epidemiological evidence remains unclear. We conducted this study to evaluate the association between paracetamol use and the risk of liver cancer.

methodsThis prospective study included 464,244 participants free of cancer diagnosis from the UK Biobank. Incident liver cancer was identified through linkage to cancer and death registries and the National Health Service Central Register using the International Classification of Diseases (ICD)-10 codes (C22). An overlap-weighted Cox proportional hazards model was utilized to calculate the hazard ratio (HR) and 95% confidence interval (CI) for the risk of liver cancer associated with paracetamol use. The number needed to harm (NNH) was calculated at 10 years of follow-up.

resultsDuring a median of 12.6 years of follow-up, 627 cases of liver cancer were identified. Paracetamol users had a 28% higher risk of liver cancer than nonusers (HR 1.28, 95% CI 1.06-1.54). This association was robust in several sensitivity analyses and subgroup analyses, and the quantitative bias analysis indicated that the result remains sturdy to unmeasured confounding factors (E-value 1.88, lower 95% CI 1.31). The NNH was 1106.4 at the 10 years of follow-up.

conclusionThe regular use of paracetamol was associated with a higher risk of liver cancer. Physicians should be cautious when prescribing paracetamol, and it is recommended to assess the potential risk of liver cancer to personalize the use of paracetamol.

Indexed as

AcetaminophenLiver NeoplasmsHumansProspective StudiesRisk FactorsState MedicineAcetaminophenLiver cancerParacetamolProspective cohort studyUK Biobank

Identifiers

PMID38178090
PMCPMC10765829
OpenAlexW4390587736

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.