Evidence map›Paper›PMID 33743648›Full record

ArticleBMC women's health2021

Women's cancers in China: a spatio-temporal epidemiology analysis.

Rongxin He, Bin Zhu, Jinlin Liu, Ning Zhang, Wei-Hong Zhang, Ying Mao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC women's health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Area-Level Determinants in Colorectal Cancer Spatial Clustering Studies: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
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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

6 authors.

Rongxin HeSchool of Public Policy and Administration, Xi'an Jiaotong University, 28 Xianning West Road, Beilin District, Xi'an, 710049, China.
Bin ZhuSchool of Public Health and Emergency Management, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen, 518055, China.
Jinlin LiuSchool of Public Policy and Administration, Northwestern Polytechnical University, 127 Youyin West Road, Beilin District, Xi'an, 710072, China.
Ning ZhangSchool of Public Policy and Administration, Xi'an Jiaotong University, 28 Xianning West Road, Beilin District, Xi'an, 710049, China.
Wei-Hong ZhangInternational Centre for Reproductive Health (ICRH), Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, C. Heymanslaan 10 UZ, 9000, Ghent, Belgium.
Ying MaoSchool of Public Policy and Administration, Xi'an Jiaotong University, 28 Xianning West Road, Beilin District, Xi'an, 710049, China. mao_ying@mail.xjtu.edu.cn.

Funding

Major Program of National Fund of Philosophy and Social Science of China 17ZDA079
6 · The paper itself

Abstract

backgroundWomen's cancers, represented by breast and gynecologic cancers, are emerging as a significant threat to women's health, while previous studies paid little attention to the spatial distribution of women's cancers. This study aims to conduct a spatio-temporal epidemiology analysis on breast, cervical and ovarian cancers in China, thus visualizing and comparing their epidemiologic trends and spatio-temporal changing patterns.

methodsData on the incidence and mortality of women's cancers between January 2010 and December 2015 were obtained from the National Cancer Registry Annual Report. Linear tests and bar charts were used to visualize and compare the epidemiologic trends. Two complementary spatial statistics (Moran's I statistics and Kulldorff's space-time scan statistics) were adopted to identify the spatial-temporal clusters.

resultsThe results showed that the incidence and mortality of breast cancer displayed slow upward trends, while that of cervical cancer increase dramatically, and the mortality of ovarian cancer also showed a fast increasing trend. Significant differences were detected in incidence and mortality of breast, cervical and ovarian cancer across east, central and west China. The average incidence of breast cancer displayed a high-high cluster feature in part of north and east China, and the opposite traits occurred in southwest China. In the meantime, the average incidence and mortality of cervical cancer in central China revealed a high-high cluster feature, and that of ovarian cancer in northern China displayed a high-high cluster feature. Besides, the anomalous clusters were also detected based on the space-time scan statistics.

conclusionRegional differences were detected in the distribution of women's cancers in China. An effective response requires a package of coordinated actions that vary across localities regarding the spatio-temporal epidemics and local conditions.

Indexed as

Ovarian NeoplasmsUterine Cervical NeoplasmsChinaCluster AnalysisFemaleHumansIncidenceSpatio-Temporal AnalysisBreast cancerCervical cancerChinaGeographical clustersMoran’s IOvarian cancerSpace–time scanSpatial clusters

Identifiers

PMID33743648
PMCPMC7981806

What OpenQuestion holds

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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.