Evidence map›Paper›PMID 28535760›Full record

ArticleBMC cancer2017

Disparities of time trends and birth cohort effects on invasive breast cancer incidence in Shanghai and Hong Kong pre- and post-menopausal women.

Feng Wang, Lap Ah Tse, Wing-Cheong Chan, Carol Chi-Hei Kwok, Siu-Lan Leung, Cherry Wu, Oscar Wai-Kong Mang, Roger Kai-Cheong Ngan, Mengjie Li, Wai-Cho Yu and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Changes in Breast Cancer Risk and Risk Factor Profiles among U.S.-Born and Immigrant Asian American Women Residing in the San Francisco Bay Area.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
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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

18 authors at 7 institutions in 2 countries.

Feng WangJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Sha Tin, Hong Kong SAR, China.
Lap Ah TseJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Sha Tin, Hong Kong SAR, China. shelly@cuhk.edu.hk.
Wing-Cheong ChanDepartment of Surgery, North District Hospital, Sheung Shui, Hong Kong SAR, China.
Carol Chi-Hei KwokDepartment of Oncology, Princess Margaret Hospital, Kwai Chung, Hong Kong SAR, China.
Siu-Lan LeungDepartment of Surgery, Pamela Youde Nethersole Eastern Hospital, Chai Wan, Hong Kong SAR, China.
Cherry WuDepartment of Pathology, North District Hospital, Sheung Shui, Hong Kong SAR, China.
Oscar Wai-Kong MangHong Kong Cancer Registry, Hospital Authority, Yau Ma Tei, Hong Kong SAR, China.
Roger Kai-Cheong NganHong Kong Cancer Registry, Hospital Authority, Yau Ma Tei, Hong Kong SAR, China.
Mengjie LiJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Sha Tin, Hong Kong SAR, China.
Wai-Cho YuDepartment of Medicine and Geriatrics, Princess Margaret Hospital, Kwai Chung, Hong Kong SAR, China.
Koon-Ho TsangDepartment of Pathology, Yan Chai Hospital, Tsuen Wan, Hong Kong SAR, China.
Sze-Hong LawDepartment of Surgery, Yan Chai Hospital, Tsuen Wan, Hong Kong SAR, China.
Xiaoping MiaoDepartment of Epidemiology and Biostatistics, Tongji School of Public Health, Huazhong University of Science and Technology, Wuhan, China.
Chunxiao WuShanghai Municipal Center for Disease Control & Prevention, Shanghai, China.
Ying ZhengShanghai Municipal Center for Disease Control & Prevention, Shanghai, China.
Fan WuShanghai Municipal Center for Disease Control & Prevention, Shanghai, China.
Xiaohong R YangGenetic Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Ignatius Tak-Sun YuJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Sha Tin, Hong Kong SAR, China.
Chinese University of Hong Kong · CNShanghai Municipal Center For Disease Control Prevention · CNHospital Authority · CNKwai Chung Hospital · CNHuazhong University of Science and Technology · CNNational Institutes of Health · USPamela Youde Nethersole Eastern Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is the leading cause of cancer morbidity among Shanghai and Hong Kong women, which contributes to 20-25% of new female cancer incidents. This study aimed to describe the temporal trend of breast cancer and interpret the potential effects on the observed secular trends.

methodsCancer incident data were obtained from the cancer registries. Age-standardized incidence rate was computed by the direct method using the World population of 2000. Average annual percentage change (AAPC) in incidence rate was estimated by the Joinpoint regression. Age, period and cohort effects were assessed by using a log-linear model with Poisson regression.

resultsDuring 1976-2009, an increasing trend of breast cancer incidence was observed, with an AAPC of 1.73 [95% confidence interval (CI): 1.54-1.92)] for women in Hong Kong and 2.83 (95% CI, 2.26-3.40) in Shanghai. Greater upward trends were revealed in Shanghai women aged 50 years old or above (AAPC = 3.09; 95% CI, 1.48-4.73). Using age at 50 years old as cut-point, strong birth cohort effects were shown in both pre- and post-menopausal women, though a more remarkable effect was suggested in Shanghai post-menopausal women. No evidence for a period effect was indicated.

conclusionsIncidence rate of breast cancer has been more speedy in Shanghai post-menopausal women than that of the Hong Kong women over the past 30 years. Decreased birth rate and increasing environmental exposures (e.g., light-at-night) over successive generations may have constituted major impacts on the birth cohort effects, especially for the post-menopausal breast cancer; further analytic studies are warranted.

Indexed as

Age FactorsAdultAgedAge DistributionBreast NeoplasmsChinaFemaleHong KongHumansLinear ModelsMiddle AgedRegistriesAge-period-cohort modelingAnnual percentage changeBreast cancerIncidence

Identifiers

PMID28535760
PMCPMC5442698
OpenAlexW2617983109

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.