Evidence map›Paper›PMID 35428279›Full record

ArticleBMC cancer2022

Disparities in the increases of cervical cancer incidence rates: observations from a city-wide population-based study.

Ke Li, Huan Xu, Suixiang Wang, Pengzhe Qin, Boheng Liang

Abstract read
In one paragraph

Article in BMC cancer, 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

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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. Article
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4 · The record

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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.

Ke LiDepartment of Prevention and Control of Chronic Noncommunicable Diseases, Guangzhou Center for Disease Control and Prevention, No.1 Qide Road, Guangzhou, 510440, China.
Huan XuDepartment of Prevention and Control of Chronic Noncommunicable Diseases, Guangzhou Center for Disease Control and Prevention, No.1 Qide Road, Guangzhou, 510440, China.
Suixiang WangDepartment of Prevention and Control of Chronic Noncommunicable Diseases, Guangzhou Center for Disease Control and Prevention, No.1 Qide Road, Guangzhou, 510440, China.
Pengzhe QinDepartment of Prevention and Control of Chronic Noncommunicable Diseases, Guangzhou Center for Disease Control and Prevention, No.1 Qide Road, Guangzhou, 510440, China. petgyy@gmail.com.
Boheng LiangDepartment of Prevention and Control of Chronic Noncommunicable Diseases, Guangzhou Center for Disease Control and Prevention, No.1 Qide Road, Guangzhou, 510440, China. 14927462@qq.com.

Funding

Basic Research Project of Key Laboratory of Guangzhou 2021BRP004The Key Project of Medicine Discipline of Guangzhou 2021-2023-12
6 · The paper itself

Abstract

backgroundGlobally cervical cancer incidence rate has been declining continuously. However, an unfavorable trend has been observed in China during the past decades, and the underlying reasons remain unclear. We hereby explore the recent trends of cervical cancer incidence, as well as the underlying determinants using data from Guangzhou, one of biggest cities in China.

methodsCity-wide cancer registration data were obtained from the Guangzhou Center for Disease Prevention and Control from 2004 to 2018. We used the Joinpoint regression models to estimate the average annual percentage change (AAPC) of age-standardized and age-specific incidence rates by regions and by histological subtype. Age-period-cohort models were applied to analyze the period and birth cohort effects on the time trends.

resultsThe age-standardized rates (ASRs) of cervical cancer incidence increased at an annual rate of 2.1% [95% confidence interval (CI): 1.0%-3.2%] during 2004-2018. The largest increase in ASRs was found for rural regions, with AAPC of 6.6% [95% CI: 3.7%-9.5%], followed by the suburbs (2.2% [95% CI: 1.0%-3.4%]), while there was no statistically significant increase in urban regions. The ASRs of adenocarcinoma increased faster than those of the squamous cell carcinoma (AAPC = 6.53% [95% CI: 5.0%-8.1%] versus 1.79% [95% CI: 0.8%-2.8%]). A downward trend in urban regions was found in the 20-49 age group, whereas an upward trend was found in the 50 + age group, especially in rural regions. An inverted V-shape was found for cohort effects, with the peak varied by regions, i.e., peaked in the 1966 and 1971 birth cohort in the urban and suburb regions, respectively. Period effects kept increasing during the study period.

conclusionsWe systematically examine the disparities in the increases of cervical cancer incidence rates using city-wide data from Guangzhou. Extensive efforts are warranted to address the large urban-rural disparities in cervical cancer prevention. The combined strategies of vaccination, screening, and health education should be reinforced and locally customized.

Indexed as

Uterine Cervical NeoplasmsChinaCitiesFemaleHumansIncidenceRural PopulationCervical cancerGeographical disparitiesIncidencePopulation-based studyTime trend

Identifiers

PMID35428279
PMCPMC9013161

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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.