Evidence map›Paper›PMID 37653535›Full record

ArticleBMC medicine2023

Estimating disparities in breast cancer screening programs towards mortality, case fatality, and DALYs across BRICS-plus.

Sumaira Mubarik, Saima Shakil Malik, Zhang Yanran, Eelko Hak, Nawsherwan, Fang Wang, Chuanhua Yu

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 18% 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, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Prevalence of Breast Cancer Screening in Asia: Systematic Review and Meta-Analysis.Asian Pacific journal of cancer prevention : APJCP · 2024
    Pooled it
  2. Article
  3. Article
  4. 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 at 6 institutions in 3 countries.

Sumaira MubarikDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, 185 Donghu Road, Wuhan, 430071, Hubei, China.ORCID http://orcid.org/0000-0001-6041-1061
Saima Shakil MalikCenter for Biotechnology & Genomic Medicine (CBGM) Medical College of Georgia Augusta University, 1462 Laney Walker Blvd, Augusta, GA, 30912-4810, USA.
Zhang YanranDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, 185 Donghu Road, Wuhan, 430071, Hubei, China.
Eelko HakPharmacoTherapy, -Epidemiology and -Economics, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, The Netherlands.
NawsherwanXiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, 361000, China.
Fang WangDepartment of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
Chuanhua YuDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, 185 Donghu Road, Wuhan, 430071, Hubei, China. yuchua@whu.edu.cn.ORCID http://orcid.org/0000-0002-5467-2481
University of Groningen · NLAugusta University · USChinese Academy of Medical Sciences & Peking Union Medical College · CNWuhan University · CNXiamen University · CNXuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNumerous studies over the past four decades have revealed that breast cancer screening (BCS) significantly reduces breast cancer (BC) mortality. However, in BRICS-plus countries, the association between BCS and BC case fatality and disability are unknown. This study examines the association of different BCS approaches with age-standardized mortality, case-fatality, and disability-adjusted life years (DALYs) rates, as well as with other biological and sociodemographic risk variables, across BRICS-plus from a national and economic perspective.

methodsIn this ecological study applying mixed-effect multilevel regression models, a country-specific dataset was analyzed by combining data from the Global Burden of Disease study 2019 on female age-standardized BC mortality, incidence, and DALYs rates with information on national/regional BCS availability (against no such program or only a pilot program) and BCS type (only self-breast examination (SBE) and/or clinical breast examination (CBE) [SBE/CBE] versus SBE/CBE with mammographic screening availability [MM and/or SBE/CBE] versus SBE/CBE/mammographic with digital mammography and/or ultrasound (US) [DMM/US and/or previous tests] in BRICS-plus countries.

resultsCompared to self/clinical breast examinations (SBE/CBE) across BRICS-plus, more complex BCS program availability was the most significant predictor of decreased mortality [MM and/or SBE/CBE: - 2.64, p < 0.001; DMM/US and/or previous tests: - 1.40, p < 0.001]. In the BRICS-plus, CVD presence, high BMI, second-hand smoke, and active smoking all contributed to an increase in BC mortality and DALY rate. High-income and middle-income regions in BRICS-plus had significantly lower age-standardized BC mortality, case-fatality, and DALYs rates than low-income regions when nationwide BC screening programs were implemented.

conclusionsThe availability of mammography (digital or traditional) and BCS is associated with breast cancer burden in BRICS-plus countries, with regional variations. In light of high-quality evidence from previous causal studies, these findings further support the preventive role of mammography screening for BCS at the national level. Intervening on BCS related risk factors may further reduce the disease burden associated with BC.

Indexed as

Breast NeoplasmsEarly Detection of CancerCost of IllnessDisability-Adjusted Life YearsFemaleHumansMammographyBreast cancer screeningBRICS-plusCase fatalityCVDDisabilityMortality

Identifiers

PMID37653535
PMCPMC10472654
OpenAlexW4386315083

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.