Evidence map›Paper›PMID 26060127›Full record

ArticleChinese journal of cancer2015

Spatio-temporal analysis of female breast cancer incidence in Shenzhen, 2007-2012.

Hai-Bin Zhou, Sheng-Yuan Liu, Lin Lei, Zhong-Wei Chen, Ji Peng, Ying-Zhou Yang, Xiao-Li Liu

Abstract read
In one paragraph

Article in Chinese journal of cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Spatial Autocorrelation of Breast and Prostate Cancer in Slovakia.International journal of environmental research and public health · 2020
    Article
  4. Breast cancer in the Baixada Santista region and its relationship to contaminated areas.Environmental science and pollution research international · 2020
    Article
  5. A Review of the Epidemiology of Breast Cancer in Asia: Focus on Risk Factors.Asian Pacific journal of cancer prevention : APJCP · 2020
    Review
  6. SNHG1 Long Noncoding RNA is Potentially Up-Regulated in Colorectal Adenocarcinoma.Asian Pacific journal of cancer prevention : APJCP · 2020
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

7 authors.

Hai-Bin ZhouShenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, 518020, P. R. China. zhbsmail@126.com.
Sheng-Yuan LiuShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong, 518054, P. R. China. liushenglb@126.com.
Lin LeiShenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, 518020, P. R. China. szleilin@qq.com.
Zhong-Wei ChenShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong, 518054, P. R. China. ccdcchenzw@126.com.
Ji PengShenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, 518020, P. R. China. pengji126@126.com.
Ying-Zhou YangShenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, 518020, P. R. China. szyyz@china.com.
Xiao-Li LiuShenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, 518020, P. R. China. liuxl36@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBreast cancer is a leading tumor with a high mortality in women. This study examined the spatio-temporal distribution of the incidence of female breast cancer in Shenzhen between 2007 and 2012.

methodsThe data on breast cancer incidence were obtained from the Shenzhen Cancer Registry System. To describe the temporal trend, the average annual percentage change (AAPC) was analyzed using a joinpoint regression model. Spatial autocorrelation and a retrospective spatio-temporal scan approach were used to detect the spatio-temporal cluster distribution of breast cancer cases.

resultsBreast cancer ranked first among different types of cancer in women in Shenzhen between 2007 and 2012 with a crude incidence of 20.0/100,000 population. The age-standardized rate according to the world standard population was 21.1/100,000 in 2012, with an AAPC of 11.3%. The spatial autocorrelation analysis showed a spatial correlation characterized by the presence of a hotspot in south-central Shenzhen, which included the eastern part of Luohu District (Donghu and Liantang Streets) and Yantian District (Shatoujiao, Haishan, and Yantian Streets). Five spatio-temporal cluster areas were detected between 2010 and 2012, one of which was a Class 1 cluster located in southwestern Shenzhen in 2010, which included Yuehai, Nantou, Shahe, Shekou, and Nanshan Streets in Nanshan District with an incidence of 54.1/100,000 and a relative risk of 2.41; the other four were Class 2 clusters located in Yantian, Luohu, Futian, and Longhua Districts with a relative risk ranging from 1.70 to 3.25.

conclusionsThis study revealed the spatio-temporal cluster pattern for the incidence of female breast cancer in Shenzhen, which will be useful for a better allocation of health resources in Shenzhen.

Indexed as

Breast NeoplasmsIncidenceSpatio-Temporal AnalysisChinaFemaleHumansRetrospective StudiesSpatial Analysis

Identifiers

PMID26060127
PMCPMC4593368

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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.