Evidence map›Paper›PMID 33276761›Full record

ArticleBMC cancer2020

A nationally quasi-experimental study to assess the impact of partial organized breast and cervical cancer screening programme on participation and inequalities.

Heling Bao, Limin Wang, Matthew Brown, Mei Zhang, Katherine Hunt, Jiangli Di, Zhenping Zhao, Shu Cong, Jing Fan, Liwen Fang and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 pooled it
0.3field-weighted citation impact, top 38% 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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Observational
  6. Article
  7. Article
  8. 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

11 authors at 4 institutions in 2 countries.

Heling BaoNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Xicheng District, Beijing, 100050, China.
Limin WangNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Xicheng District, Beijing, 100050, China.
Matthew BrownCenter for Global Health, China Office, National Cancer Institute, National Institutes of Health, Bethesda, USA.
Mei ZhangNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Xicheng District, Beijing, 100050, China.
Katherine HuntSusan G. Komen, 5005 LBJ Freeway, Suite 526, Dallas, TX, 75244, USA.
Jiangli DiNational Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, 12 Dahuisi Road, Haidian District, Beijing, 100081, China.
Zhenping ZhaoNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Xicheng District, Beijing, 100050, China.
Shu CongNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Xicheng District, Beijing, 100050, China.
Jing FanNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Xicheng District, Beijing, 100050, China.
Liwen FangNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Xicheng District, Beijing, 100050, China.
Linhong WangNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Xicheng District, Beijing, 100050, China. linhong@chinawch.org.cn.ORCID http://orcid.org/0000-0002-9541-3654
National Center for Chronic and Noncommunicable Disease Control and Prevention · CNNational Center for Women and Children’s Health, China CDC · CNNational Institutes of Health · USSusan G. Komen Breast Cancer Foundation · US

Funding

National Key R&D Program of China 2016YFC0901300, 2016YFC0901301
6 · The paper itself

Abstract

backgroundOrganized breast and cervical cancer screening programme could only provide services at no cost for a fraction of socioeconomic-deprived women in China and other low-resource countries, however, little evidence exists for whether such a programme effectively affect the participation and inequalities at the population level.

methodsWe used individual-level data from a nationally cross-sectional survey in 2014-2015 for breast and cervical cancer screening participation. Data for intervention and comparison grouping were from 2009 to 2014 national breast and cervical cancer screening programme, and counties covered by the programme were divided into intervention group. We assessed the impact of the intervention on the participation rates and the magnitude of inequalities with two approaches: multivariable multilevel logistic regressions adjusting for individual- and region-level covariates; and a difference analysis combined with propensity score matching that estimated the average intervention effect.

resultsOf 69,875 included women aged 35-64 years, 21,620 were classified into the intervention group and 43,669 into the comparison group for breast cancer screening; and 31,794 into the intervention group, and 33,682 into the comparison group for cervical cancer screening. Participation rate was higher in intervention group than comparison group for breast cancer screening (25.3, 95% confidential interval [CI], 22.8-27.7%, vs 19.1, 17.4-20.7%), and cervical cancer screening (25.7, 23.8-27.7%, vs 21.5, 19.6-23.5%), respectively. Intervention significantly increased the likelihood of participation for both breast cancer and cervical cancer screening in overall women, rural women and urban women, whereas the effect was significantly higher in rural women than urban women. The average intervention effect on the participation rate was an increase of 7.5% (6.7-8.2%) for breast cancer screening, and 6.8% (6.1-7.5%) for cervical cancer screening, respectively. The inequalities were significantly decreased by 37-41% (P < 0.001) between rural and urban, however, were slightly decreased or even increased in terms of age, education status, and household income.

conclusionsOrganized breast and cervical cancer screening programme targeting for a fraction of women could increase the participation rates at population level, however, it could not significantly affect socioeconomic-introduced inequalities. Further studies are need to conduct time-series analyses and strengthen the causal correlation.

Indexed as

Early Detection of CancerHealthcare DisparitiesAdultBreast NeoplasmsChinaCross-Sectional StudiesEducational StatusFemaleHealth SurveysHumansMiddle AgedPatient ParticipationPovertyPreventive Health ServicesPropensity ScoreRural PopulationBreast cancer screeningCervical cancer screeningImpactInequalityParticipationQuasi-experimental study

Identifiers

PMID33276761
PMCPMC7716588
OpenAlexW3107669653

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.