Evidence map›Paper›PMID 33604165›Full record

ArticlePeerJ2021

Liver cancer mortality over six decades in an epidemic area: what we have learned.

Jian-Guo Chen, Jian Zhu, Yong-Hui Zhang, Yong-Sheng Chen, Jian-Hua Lu, Yuan-Rong Zhu, Hai-Zhen Chen, Ai-Guo Shen, Gao-Ren Wang, John D Groopman and 1 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 26 citations in OpenAlex.

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  8. Frequencies and spectra of aflatoxin BNAR molecular medicine · 2024
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  9. [Long-term trend analysis of liver cancer survival rate in Qidong region, Jiangsu Province, 1972-2019].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2023
    Article
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  12. [Analysis on the trend of liver cancer morbidity and mortality in certain district, Suzhou City, Jiangsu Province, 2017 to 2019].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022
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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

11 authors at 4 institutions in 2 countries.

Jian-Guo ChenDepartment of Epidemiology, Qidong Liver Cancer Institute / Qidong People's Hospital / Affiliated Qidong Hospital of Nantong University, Qidong, Jiangsu, China.
Jian ZhuDepartment of Epidemiology, Qidong Liver Cancer Institute / Qidong People's Hospital / Affiliated Qidong Hospital of Nantong University, Qidong, Jiangsu, China.
Yong-Hui ZhangDepartment of Epidemiology, Qidong Liver Cancer Institute / Qidong People's Hospital / Affiliated Qidong Hospital of Nantong University, Qidong, Jiangsu, China.
Yong-Sheng ChenDepartment of Epidemiology, Qidong Liver Cancer Institute / Qidong People's Hospital / Affiliated Qidong Hospital of Nantong University, Qidong, Jiangsu, China.
Jian-Hua LuDepartment of Epidemiology, Qidong Liver Cancer Institute / Qidong People's Hospital / Affiliated Qidong Hospital of Nantong University, Qidong, Jiangsu, China.
Yuan-Rong ZhuDepartment of Epidemiology, Qidong Liver Cancer Institute / Qidong People's Hospital / Affiliated Qidong Hospital of Nantong University, Qidong, Jiangsu, China.
Hai-Zhen ChenDepartment of Epidemiology, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, China.
Ai-Guo ShenDepartment of Epidemiology, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, China.
Gao-Ren WangDepartment of Epidemiology, Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, China.
John D GroopmanBloomberg School of Public Health, The Johns Hopkins University, Baltimore, MD, United States of America.
Thomas W KenslerBloomberg School of Public Health, The Johns Hopkins University, Baltimore, MD, United States of America.
Qidong Liver Cancer Prevention Research · CNNantong University · CNFred Hutch Cancer Center · USJohns Hopkins University · US

Funding

Targeting Nrf2 for Cancer ChemopreventionR35CA197222 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KENSLER, THOMAS W · 2015 to 2021
$6.7M
NCI NIH HHS R35 CA197222
6 · The paper itself

Abstract

BACKGROUND AND

aimsLiver cancer is one of the most dominant malignant tumors in the world. The trends of liver cancer mortality over the past six decades have been tracked in the epidemic region of Qidong, China. Using epidemiological tools, we explore the dynamic changes in age-standardized rates to characterize important aspects of liver cancer etiology and prevention.

methodsMortality data of liver cancer in Qidong from 1958 to 1971 (death retrospective survey) and from 1972 to 2017 (cancer registration) were tabulated for the crude rate (CR), and age-standardized rate and age-birth cohorts. The average annual percentage change was calculated by the Joinpoint Regression Program.

resultsThe natural death rate during 1958-2017 decreased from 9‰ to 5.4‰ and then increased to 8‰ as the population aged; cancer mortality rates rose continuously from 57/10

conclusionsThe crude mortality rate of liver cancer in Qidong has experienced trends from lower to higher levels, and from continued increase at a high plateau to most recently a gradual decline, and a change greatest in younger people. Many years of comprehensive prevention and intervention measures have influenced the decline of the liver cancer epidemic in this area. The reduction of intake levels of aflatoxin might be one of the most significant factors as evidenced by the dramatic decline of exposure biomarkers in this population during the past three decades.

Indexed as

Age-standardized rateAnnual percentage changeBirth cohortEpidemiologyLiver cancerMortalityTrend

Identifiers

PMID33604165
PMCPMC7866902
OpenAlexW3128736835

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.