Evidence map›Paper›PMID 35548453›Full record

ArticleChina CDC weekly2022

Cancer Mortality and Cause Eliminated Life Expectancy in Key Areas of Four Provinces - China, 2008-2018.

Baohua Wang, Qiutong Wang, Ning Wang, Jinlei Qi, Jing Wu

Abstract read
In one paragraph

Article in China CDC weekly, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Life expectancy of cancer patients in China.Military Medical Research · 2026
    Article
  2. 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

5 authors.

Baohua WangNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Qiutong WangNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Ning WangNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jinlei QiNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jing WuNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cancer is a major health problem in China. Integrated interventions have been implemented in key areas of Anhui, Henan, Jiangsu, and Shandong provinces with historically higher than average cancer mortality. Assessing the cancer mortality trend and its impact on life expectancy (LE) could help evaluate the effectiveness of interventions in these regions. Methods: Based on the National Cause-of-Death Surveillance, we analyzed the standardized mortality rate (SMR) of cancer, cause eliminated life expectancy (CELE), potential gains in life expectancy (PGLEs), and rate of life lost in key areas of 4 provinces from 2008 to 2018. Joinpoint program was used to compute the average annual percentage change (AAPC) of cancer mortality. Arriaga's decomposition method was used to estimate the contribution of cancer to LE in each age group. Results: From 2008 to 2018, cancer SMR decreased in the study region (AAPC=-3.09%, Conclusions: Cancer SMR decreased in key areas of 4 provinces from 2008 to 2018. This change had a positive effect on the increase of LE. However, the rate of life lost due to cancer increased. Integrated interventions should continue to further reduce the cancer burden.

Indexed as

CancerCause eliminated life expectancyStandardized mortality rateTrend

Identifiers

PMID35548453
PMCPMC9081895

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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.