Evidence map›Paper›PMID 41312953›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2025

Breast Cancer in Kazakhstan, 2004-2023: Successful Mortality Reduction Driven by Organized Screening and Stage Shift.

Nurbek Igissin, Zhansaya Telmanova, Indira Kudaibergenova, Gulnur Igissinova, Dulat Turebayev, Sergey Dyakov, Akzhunis Jexenova, Dariyana Kulmirzayeva, Rustem Moldagali, Daulet Baibosynov and 2 more

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
  2. Evaluation of a National Breast Cancer Screening Program in a Middle-Income Country: The Case of Kazakhstan.International journal of environmental research and public health · 2026
    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

12 authors.

Nurbek IgissinResearch Institute of Life and Health Sciences, Higher School of Medicine, Kokshetau University named after Sh. Ualikhanov, Kokshetau, Kazakhstan.
Zhansaya TelmanovaCentral Asian Institute for Medical Research, Astana, Kazakhstan.ORCID 0000-0002-2364-6520
Indira KudaibergenovaCentral Asian Institute for Medical Research, Astana, Kazakhstan.ORCID 0000-0003-3007-8127
Gulnur IgissinovaCentral Asian Institute for Medical Research, Astana, Kazakhstan.ORCID 0000-0001-6881-2257
Dulat TurebayevCentral Asian Institute for Medical Research, Astana, Kazakhstan.ORCID 0000-0003-1557-3496
Sergey DyakovCentral Asian Institute for Medical Research, Astana, Kazakhstan.ORCID 0000-0001-7566-7094
Akzhunis JexenovaCentral Asian Institute for Medical Research, Astana, Kazakhstan.ORCID 0000-0001-9771-0882
Dariyana KulmirzayevaCentral Asian Institute for Medical Research, Astana, Kazakhstan.ORCID 0000-0001-8174-0171
Rustem MoldagaliCentral Asian Institute for Medical Research, Astana, Kazakhstan.ORCID 0000-0003-4406-413X
Daulet BaibosynovCentral Asian Institute for Medical Research, Astana, Kazakhstan.ORCID 0000-0001-9209-9463
Assem ToguzbayevaCentral Asian Institute for Medical Research, Astana, Kazakhstan.ORCID 0000000208083782
Zarina BilyalovaCentral Asian Institute for Medical Research, Astana, Kazakhstan.ORCID 0000-0002-0066-235X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo quantify two-decade national trends in the breast cancer burden in Kazakhstan and evaluate the performance of the organized mammography screening programme-including stage distribution and regional heterogeneity after its scale-up.

methodsWe conducted a retrospective, population-based evaluation using national registry and screening data. Population indicators (incidence, mortality, years of potential life lost) were analysed for 2004-2023; screening performance (coverage, abnormal rate, cancer detection rate, positive predictive value, benign biopsy rate, number needed to screen, programme contribution) was assessed for 2010-2023. Trends were modelled with Joinpoint; staging followed TNM (I-II "early", III-IV "advanced").

resultsASIR increased from 39.3 per 100,000 women in 2004 to 54.4 in 2023 (with a transient dip to 44.9 in 2020), whereas ASMR declined from 16.6 to 10.2 per 100,000 over the same interval; the mortality-to-incidence ratio decreased from 0.42 to 0.19. YPLL_75 fell from 175.1 per 100,000 in 2004 to a nadir of 76.0 in 2018, then measured 104.9 in 2023. The proportion diagnosed at stages I-II rose from 71.1% (2010) to 88.6% (2023), with corresponding declines in stage III (22.2% → 8.7%) and stage IV (6.8% → 5.1%). Following the expansion of eligibility to ages 40-70 (from 2018), screening throughput and coverage increased, but performance remained heterogeneous across regions, with variability in recall rates, detection yield, and downstream diagnostic pathways.

conclusionAcross 2004-2023, Kazakhstan experienced a favourable divergence between rising incidence and falling mortality, substantial reductions in premature mortality, and a marked shift toward earlier-stage diagnosis. These gains coincide with the maturation of the organised screening programme and broader system improvements. Consolidation will require targeted, region-specific quality-improvement bundles and resilience strategies to protect screening coverage and diagnostic capacity during system shocks.

Indexed as

Breast NeoplasmsEarly Detection of CancerMammographyMass ScreeningAdultAgedFemaleFollow-Up StudiesHumansIncidenceKazakhstanMiddle AgedNeoplasm StagingPrognosisRegistriesRetrospective Studiesbreast cancergeographical variationIncidenceKazakhstanTrends

Identifiers

PMID41312953
PMCPMC12948321

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.