Evidence map›Paper›PMID 39138529›Full record

ArticleMilitary Medical Research2024

National age-specific mortality trends for cervical and breast cancers in urban-rural areas of China from 2009 to 2021: a population-based analysis.

Meng-Long Li, Jin-Lei Qi, Ya-Qi Ma, Wen Shu, Hui-Di Xiao, Li-Jun Wang, Peng Yin, Hao-Yan Guo, Sten H Vermund, Mai-Geng Zhou and 1 more

Abstract read
In one paragraph

Article in Military Medical Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Real-World Performance of HPV DNA-Based Screening in Health Resource-Limited Areas of China: A Multicenter Implementation Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  3. Unleashing the biological power and chemical profile ofBiochemistry and biophysics reports · 2026
    Article
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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.

Meng-Long Li *Department of Child, Adolescent Health and Maternal Care, School of Public Health, Capital Medical University, Beijing, 100069, China.
Jin-Lei Qi *National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, 100050, China.
Ya-Qi Ma *Department of Pathology, the First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Wen ShuDepartment of Child, Adolescent Health and Maternal Care, School of Public Health, Capital Medical University, Beijing, 100069, China.
Hui-Di XiaoDepartment of Child, Adolescent Health and Maternal Care, School of Public Health, Capital Medical University, Beijing, 100069, China.
Li-Jun WangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, 100050, China.
Peng YinNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, 100050, China.
Hao-Yan GuoNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, 100050, China.
Sten H VermundYale School of Public Health, Yale University, New Haven, CT, 06510-3201, USA.
Mai-Geng ZhouNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, 100050, China. zhoumaigeng@ncncd.chinacdc.cn.
Yi-Fei HuDepartment of Child, Adolescent Health and Maternal Care, School of Public Health, Capital Medical University, Beijing, 100069, China. huyifei@yahoo.com.ORCID 0000-0002-4611-2206

Funding

Yale Pathology Tissue Services Shared ResourceP30CA016359 · NCI · YALE UNIVERSITY · PI MEGAN C KING · 1985 to 2026
$85.0M
National Natural Science Foundation of China 72061137007NCI NIH HHS P30 CA016359
6 · The paper itself

Abstract

backgroundCervical and breast cancers are among the top 4 leading causes of cancer-related mortality in women. This study aimed to examine age-specific temporal trends in mortality for cervical and breast cancers in urban and rural areas of China from 2009 to 2021.

methodsAge-specific mortality data for cervical and breast cancers among Chinese women aged 20-84 years were obtained from China's National Disease Surveillance Points system spanning the years 2009 to 2021. Negative binomial regression models were utilized to assess urban-rural differences in mortality rate ratios, while Joinpoint models with estimated average annual percent changes (AAPC) and slopes were employed to compare temporal trends and the acceleration of mortality rates within different age groups.

resultsFrom 2009 to 2021, there was a relative increase in age-specific mortality associated with the two cancers observed in rural areas compared with urban areas. A rising trend in the screening age of 35-64 [AAPC: 4.0%, 95% confidence interval (CI) 0.5-7.6%, P = 0.026] for cervical cancer was noted in rural areas, while a stable trend (AAPC: - 0.7%, 95% CI - 5.8 to 4.6%, P = 0.78) was observed in urban areas. As for breast cancer, a stable trend (AAPC: 0.3%, 95% CI - 0.3 to 0.9%, P = 0.28) was observed in rural areas compared to a decreasing trend (AAPC: - 2.7%, 95% CI - 4.6 to - 0.7%, P = 0.007) in urban areas. Urban-rural differences in mortality rates increased over time for cervical cancer but decreased for breast cancer. Mortality trends for both cervical and breast cancers showed an increase with age across 4 segments, with the most significant surge in mortality observed among the 35-54 age group across urban and rural areas, periods, and regions in China.

conclusionsSpecial attention should be given to women aged 35-54 years due to mortality trends and rural-urban disparities. Focusing on vulnerable age groups and addressing rural-urban differences in the delivery of cancer control programs can enhance resource efficiency and promote health equity.

Indexed as

Breast NeoplasmsRural PopulationUrban PopulationUterine Cervical NeoplasmsAdultAgedAged, 80 and overAge FactorsChinaFemaleHumansMiddle AgedMortalityYoung AdultAge-specific mortalityBreast cancerCervical cancerChinaJoinpoint modelTrendUrban–rural difference

Identifiers

PMID39138529
PMCPMC11323448

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LicenceCC BY
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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.