Evidence map›Paper›PMID 28953262›Full record

ArticleInternational journal of environmental research and public health2017

Incidence of Cancer in Shenzhen, Guangdong Province during 2001-2015: A Retrospective Population-Based Study.

Zhongyu Xu, Haibin Zhou, Lin Lei, Hongyu Li, Weiye Yu, Zhen Fu, Nanjin Wu, Ji Peng, Ping Yin

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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  7. Association between PMEnvironmental science and pollution research international · 2020
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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.

Zhongyu XuDepartment of Epidemiology and Biostatistics and State Key Laboratory of Environment Health, Huazhong University of Science and Technology, Wuhan 430030, China. xuzhongyu1992@sina.com.
Haibin ZhouShenzhen Center for Chronic Disease Control, Shenzhen 518020, China. zhbsmail@gmail.com.
Lin LeiShenzhen Center for Chronic Disease Control, Shenzhen 518020, China. lin.leilana@gmail.com.
Hongyu LiDepartment of Epidemiology and Biostatistics and State Key Laboratory of Environment Health, Huazhong University of Science and Technology, Wuhan 430030, China. m201575174@hust.edu.cn.
Weiye YuShenzhen Center for Chronic Disease Control, Shenzhen 518020, China. ywy2002@126.com.
Zhen FuDepartment of Epidemiology and Biostatistics and State Key Laboratory of Environment Health, Huazhong University of Science and Technology, Wuhan 430030, China. FZacadem@outlook.com.
Nanjin WuDepartment of Epidemiology and Biostatistics and State Key Laboratory of Environment Health, Huazhong University of Science and Technology, Wuhan 430030, China. m15972949808@163.com.
Ji PengShenzhen Center for Chronic Disease Control, Shenzhen 518020, China. pengji126@126.com.
Ping YinDepartment of Epidemiology and Biostatistics and State Key Laboratory of Environment Health, Huazhong University of Science and Technology, Wuhan 430030, China. pingyin2000@126.com.ORCID 0000-0003-0869-3772

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a serious public health issue and the leading cause of death around the world. This article aimed to estimate the cancer incidence and the trend in standardized cancer incidence in Shenzhen, Guangdong province, South China during 2001-2015 by analyzing the cancer data of the population-based cancer registry in Shenzhen. Data were collected from the cancer registry in Shenzhen, which was conducted during 2001-2015. In this registry, the crude incidence rates, age-specific incidence rates, age-standardized incidence rates and cumulative incidence rates were calculated in every five years. Trends for standardized incidence rates of cancers were analyzed by using the joinpoint regression analysis. In total, 33,374.3 thousand person-years (17,593.9 thousand for males and 15,780.4 thousand for females) were monitored over this time period. The number of new cancer cases during 2001-2015 was 59,218 (30,144 and 29,074 for males and females, respectively). The crude incidence during 2001-2005 was 136.44 per 100,000 persons, while the age-standardized rates by Chinese standard population (ASR-China) and by world standard population (ASR-world) were 165.13 and 212.48 per 100,000 persons, respectively. The crude incidence during 2006-2010 was 179.01 per 100,000 persons, while the ASR-China and ASR-world were 168.08 and 214.44 per 100,000 persons, respectively. The crude incidence during 2011-2015 was 196.53 per 100,000 persons, while the ASR-China and ASR-world were 171.44 and 219.99 per 100,000 persons, respectively. During 2001 and 2015, the joinpoint regression analysis showed that the ASR-China of cancer had an overall increase of 0.96% per year and 0.84% per year for males and females respectively, although both of these values (males and females) were non-significant increases. The leading cancer types during 2011-2015 were lung, colorectal, thyroid gland, breast, liver, stomach, cervix, nasopharynx, leukemia and lymphoma. For males, the top five common cancers were lung, liver, colorectal, stomach and thyroid gland. For females, the top five common cancers were breast, thyroid gland, lung, colorectal and cervix. The results of this study showed a heavy cancer burden among the population of Shenzhen, China. Future researches of the etiology and prevention of cancers should be planned in order to reduce the incidence associated with cancers in the future.

Indexed as

AgedChild, PreschoolChinaFemaleHumansIncidenceInfantMaleMiddle AgedNeoplasmsReference StandardsRegistriesResearch DesignRetrospective StudiesYoung Adultcancer registryepidemiologyincidencemalignancyShenzhen

Identifiers

PMID28953262
PMCPMC5664638

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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.