Evidence map›Paper›PMID 40821923›Full record

ArticlePreventive medicine reports2025

Spatial and spatio-temporal analysis of cancer mortality in Iran: gender disparities and implications for health policy.

Alireza Zangeneh, Arash Ziapour, Seyede Negin Hoseini, Babak Nazari, Homa Molavi, Farid Najafi, Ardeshir Khosravi, Reza Heidari Moghadam

Abstract read
In one paragraph

Article in Preventive medicine reports, 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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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

8 authors.

Alireza ZangenehCardiovascular Research Center, Health Policy and Promotion Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Arash ZiapourCardiovascular Research Center, Health Policy and Promotion Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Seyede Negin HoseiniResearch Development Center, Imam Khomeini Hospitals, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Babak NazariCardiovascular Research Center, Health Policy and Promotion Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Homa MolaviDepartment of Engineering Management, School of Engineering, The University of Manchester, UK, Manchester, UK.
Farid NajafiResearch Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Ardeshir KhosraviCenter for Health Network Management, Deputy for Public Health, Ministry of Health and Medical Education, Tehran, Iran.
Reza Heidari MoghadamCardiovascular Research Center, Health Policy and Promotion Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Cancer mortality, particularly for gender-specific cancers, has increased in Iran and other developing countries, highlighting notable disparities in regional trends and patterns. This study examines geographical and temporal trends in cancer mortality from 2017 to 2019. Methods: We analyzed data from Iran's Ministry of Health's death registration system, focusing on populations of 11,807 females and 14,450 males in 2017; 3133 females and 4439 males in 2018; and 4799 females and 6624 males in 2019. We employed spatial statistical methods, including Anselin Local Moran's I and Hot Spot Analysis (Getis-Ord Gi*), alongside techniques such as Mean Center, Standard Distance, and Geographic Information Systems to evaluate cancer mortality at the township level. Results: Between 2017 and 2019, cancer mortality rates among women declined from 44.9 % to 42.0 %, while rates among men increased from 55.0 % to 57.9 %. The epicenter of mortality shifted from central regions in 2017 to western regions in 2018, then to eastern regions in 2019. The standard deviation ellipse indicated a transition in cancer mortality distribution from a northwest-southeast alignment in 2017 to predominantly western and eastern orientations in subsequent years, with varied hotspot patterns across Iran. Conclusions: The study highlights rising cancer mortality rates, particularly among men and premenopausal women, underscoring the need for targeted public health interventions and improved medical infrastructure to enhance prevention and treatment efforts.

Indexed as

Cancer mortalityEpidemiologyGender disparitiesGISHealth policy

Identifiers

PMID40821923
PMCPMC12355992

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LicenceCC BY-NC-ND
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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.