Evidence map›Paper›PMID 32843006›Full record

ArticleBMC public health2020

Historical trends in breast Cancer among women in China from age-period-cohort modeling of the 1990-2015 breast Cancer mortality data.

Yani Ding, Xinguang Chen, Qingjun Zhang, Qing Liu

Open access · goldAbstract readHistorical Article
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

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  15. The Vital Roles of LINC00662 in Human Cancers.Frontiers in cell and developmental biology · 2021
    Review
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

4 authors at 3 institutions in 2 countries.

Yani DingDepartment of epidemiology and health statistics, School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan, 430071, China.
Xinguang ChenDepartment of Epidemiology, University of Florida, Gainesville, FL, USA.
Qingjun ZhangHubei Center for Disease Control and Prevention, Wuhan, China.
Qing LiuDepartment of epidemiology and health statistics, School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan, 430071, China. liuqing@whu.edu.cn.
Wuhan University · CNUniversity of Florida · USWuhan Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence on historical trends extracted embedded in recent data can advance our understanding of the epidemiology of breast cancer for Chinese women. China is a country with significant political, socioeconomic, and cultural events since the 1900s; however, no such studies are reported in the literature.

methodsAge-specific mortality rates of breast cancer during 1990-2015 in China were analyzed using APC modeling (age-period-cohort modeling) method. Net effect from birth cohort was derived to measure cancer mortality risk during 1906-1990 when no mortality data were collected, and net effect from time period was derived to measure cancer mortality risk during 1990-2015 when data were collected. Model parameters were estimated using intrinsic estimator, a novel method to handle collinearity. The estimated effects were numerical differentiated to enhance presentations of time/age trend.

resultsBreast cancer mortality rate per 100,000 women increased from 6.83 in 1990 to 12.07 in 2015. After controlling for age and period, the risk of breast cancer mortality declined from 0.626 in 1906-10 to - 1.752 in 1991-95 (RR = 0.09). The decline consisted of 3 phases, a gradual phase during 1906-1940, a moderate phase with some fluctuations during 1941-1970, and a rapid phase with large fluctuations during 1971-1995. After controlling for age and cohort, the risk of breast cancer mortality increased from - 0.141 in 1990 to 0.258 in 2015 (RR = 1.49) with an acceleration after 2005. The time trends revealed by both the cohort effect and the period effect were in consistency with the significant political and socioeconomic events in China since the 1900s.

conclusionsWith recent mortality data in 1990-2015, we detected the risk of breast cancer mortality for Chinese women over a long period from 1906 to 2015. The risk declined more than 90% from the highest level in 1906-10 to the lowest in 1990-95, followed by an increase of 49% from 1990 to 2015. Findings of this study connected historical evidence with recent data, supporting further research to exam the relationship between development and risk of breast cancer for medical and health decision-making at the population level and prevention and treatment at the individual level.

Indexed as

AdultAgedAged, 80 and overBreast NeoplasmsChinaCohort EffectCohort StudiesFemaleHistory, 20th CenturyHistory, 21st CenturyHumansMiddle AgedModels, StatisticalMortalitySocial Determinants of HealthYoung AdultAPC modelingBreast cancerCohort effectHistorical epidemiologySocial determinantsWomen in China

Identifiers

PMID32843006
PMCPMC7445908
OpenAlexW3080945291

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.