Evidence map›Paper›PMID 28273900›Full record

ArticleScientific reports2017

Female Breast Cancer Mortality Clusters in Shandong Province, China: A Spatial Analysis.

Jie Chu, Chengchao Zhou, Xiaolei Guo, Jiandong Sun, Fuzhong Xue, Jiyu Zhang, Zilong Lu, Zhentao Fu, Aiqiang Xu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. 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
1.7field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

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  12. Bioinformatic analysis of differential expression and core GENEs in breast cancer.International journal of clinical and experimental pathology · 2018
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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

9 authors at 3 institutions in 2 countries.

Jie ChuThe Department for Chronic and Non-communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, 250014, China.
Chengchao ZhouSchool of Public Health, Shandong University, Jinan, 250012, China.
Xiaolei GuoThe Department for Chronic and Non-communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, 250014, China.
Jiandong SunInstitute for Resilient Regions, University of Southern Queensland, Springfield Central, Queensland, Australia.
Fuzhong XueSchool of Public Health, Shandong University, Jinan, 250012, China.
Jiyu ZhangThe Department for Chronic and Non-communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, 250014, China.
Zilong LuThe Department for Chronic and Non-communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, 250014, China.
Zhentao FuThe Department for Chronic and Non-communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, 250014, China.
Aiqiang XuThe Department for Chronic and Non-communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, 250014, China. aqxuepi@163.com.
Shandong Center for Disease Control and Prevention · CNShandong University · CNUniversity of Southern Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to detect the spatial distribution and high-risk clusters of female breast cancer mortality for the years 2011 to 2013 in Shandong Province, China. The urban-rural difference in the spatial distribution and clusters of disease mortality were also examined. Breast cancer mortality data were obtained from the Shandong Death Registration System (SDRS) during 2011 to 2013 and were adjusted for the underreporting rate. The purely spatial scan Statistics method was performed using Discrete Poisson model. Seven significant spatial clusters for high mortality of female breast cancer were detected in Shandong Province at the county level; these clusters were mainly located in the eastern, southern, southwestern, central and northern regions. The spatial distributions differed significantly between urban and rural populations. Population ageing influenced the distribution of breast cancer clusters for the urban eastern residents. This study provided evidence for the presence of clusters of breast cancer mortality in Shandong, China and found urban-rural difference in the clusters, which is helpful for developing effective strategies to control breast cancer in different areas.

Indexed as

Age FactorsBreast NeoplasmsChinaCluster AnalysisFemaleHumansModels, StatisticalRegistriesRural PopulationSpatial AnalysisUrban Population

Identifiers

PMID28273900
PMCPMC5427857
OpenAlexW2592368605

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.