Evidence map›Paper›PMID 40433185›Full record

ArticleIranian journal of medical sciences2025

Bayesian Spatial Analysis of the Incidence Rate of Patients with Breast Cancer in Southern Iran.

Abbas Rezaianzadeh, Mahnaz Hosseini-Bensenjan, Sepideh Sephidbakht, Sezaneh Haghpanah, Zahra Khosravizadegan, Naeimehossadat Asmarian, Mani Ramzi

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Article in Iranian journal of medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Abbas RezaianzadehColorectal Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Mahnaz Hosseini-BensenjanHematology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Sepideh SephidbakhtMedical Imaging Research Center, Department of Radiology, Shiraz University of Medical Sciences, Shiraz, Iran.
Sezaneh HaghpanahHematology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Zahra KhosravizadeganShiraz Population Based Cancer Registry, Shiraz University of Medical Sciences, Shiraz, Iran.
Naeimehossadat AsmarianAnesthesiology and Critical Care Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Mani RamziHematology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In the female population, breast cancer is the most common cancer and a leading cause of cancer death. This study was designed to investigate the geographical pattern of breast cancer risk in different counties of Fars province in the south of Iran from 2001 to 2018. Methods: In this historical cohort study, data of Shiraz Population-Based Cancer Registry between 2001 and 2018 was used. The geographical variations of breast cancer incidence rate in 36 counties of Fars province were analyzed using the Bayesian spatiotemporal model. Results: Overall, the averages of relative risk (RR), temporal trend (TT), and δ Conclusion: Between 2001 and 2018 in Fars province, a steady annual increase of approximately 2% was observed in the total female population for all types of breast cancer, including IDC. High-risk areas, TTs, and changing patterns of breast cancer incidence were determined in this region. Furthermore, areas with a high risk of young breast cancer were identified, which requires special attention.

Indexed as

Breast NeoplasmsAdultAgedBayes TheoremCohort StudiesFemaleHumansIncidenceIranMiddle AgedRegistriesRisk FactorsSpatial AnalysisBayesian methodBreast neoplasmsIncidence rateSpatial analysis

Identifiers

PMID40433185
PMCPMC12104542

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