Evidence map›Paper›PMID 39334063›Full record

Observational studyBMC women's health2024

Pattern of burden cancer breast and relationshipin to human development index in Iran 2009 to 2019: an observational study based on the Global Burden of Diseases.

Fazlollah Fathollahi Shoorabeh, Elham Goodarzi, Fateme Shafeai, Sajjad Rahimi Pordanjani, Mahshid Abbasi

Abstract readObservational Study
In one paragraph

Observational study in BMC women's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

5 authors.

Fazlollah Fathollahi ShoorabehNutrition Health Research Center, School of Medicine, Lorestan University of Medical Sciences, Khoramabad, Iran.
Elham GoodarziSocial Determinants of Health Research Center, Lorestan University of Medical Sciences, Khoramabad, Iran. Elhamgoodarzi.1370@yahoo.com.ORCID http://orcid.org/0000-0003-2232-1860
Fateme ShafeaiSocial Determinants of Health Research Center, Lorestan University of Medical Sciences, Khoramabad, Iran.
Sajjad Rahimi PordanjaniDepartment of Public Health, Behbahan Faculty of Medical Sciences, Behbahan, Iran.
Mahshid AbbasiDepartment of Radiation Oncology, School of Medicine, Lorestan University of Medical Sciences, Khoramabad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveBreast cancer is one of the most common cancers in women worldwide. This study aims is to investigate the burden of breast cancer in Iran and its relationship with the Human Development Index (HDI) during 2009 to 2019. STUDY

designThe present study is an observational study in Iran during the years 2009 to 2019. Data related to the incidence, mortality, Years of Life with Disability (YLD), Years of Life Lost (YLL) and Disability-Adjusted Life-Years (DALY) of breast cancer in Iran were extracted from the Global Burden of Disease 2019 (GBD-2019) website. Correlation tests are used to check the relationship between these indicators and the human development index.

resultsThe highest incidence rate of breast cancer in 2019 is related to the provinces of Gilan (29 per 100,000) and Tehran (28.55 per 100,000) and the highest rate of death from breast cancer is related to the provinces of Gilan (10.71 per 100,000). and Semnan (9.97 in 100,000). The results showed that there is a positive and significant correlation between DALY (r = 0.626, P < 0.0001), YLL (r = 0.611, P < 0.0001) and, YLD (r = 0.773, P < 0.0001) breast cancer with HDI index. There is a positive and significant correlation between the incidence (r = 0.794, P < 0.0001) and mortality (r = 0.503, P = 0.003) of breast cancer with the HDI index.

conclusionsConsidering that a positive correlation was observed between the incidence and burden of breast cancer and the human development index in the country, it is suggested to implement preventive measures such as public education programs to reduce the incidence and burden of breast cancer and the necessity of screening programs in areas with low human development index. It confirms the diagnosis of disease cases.

Indexed as

Breast NeoplasmsGlobal Burden of DiseaseAdultCost of IllnessDisability-Adjusted Life YearsFemaleHumansIncidenceIranMiddle AgedBreast carcinomaBurden of DiseaseDeathHIDMorbidity

Identifiers

PMID39334063
PMCPMC11428874

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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.