ArticleEpidemiology and health2017
A comparison of breast cancer survival among young, middle-aged, and elderly patients in southern Iran using Cox and empirical Bayesian additive hazard models.
Article in Epidemiology and health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- Breast Cancer Molecular Subtypes and Receptor-Related Risk Factor Associations: A Cross-Sectional Study.Health science reports · 2026Article
- Cancer Unveiling: A Profile of Incidence and Trends in Bam City, Southeast Iran.South Asian journal of cancer · 2025Article
- Survival Rate of Breast Cancer and Related Factors in Iran: A 27-Year Follow-Up.Iranian journal of public health · 2025Article
- The health literacy level and its related factors in Iranian women with breast cancer undergoing chemotherapy.Frontiers in public health · 2023Article
- A comparison of breast cancer survival across different age groups: a multicentric database study in Penang, Malaysia.Epidemiology and health · 2021Article
- Validation of the 8Aging · 2020Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesA survival analysis of breast cancer patients in southern Iran according to age has yet to be conducted. This study aimed to quantify the factors contributing to a poor prognosis, using Cox and empirical Bayesian additive hazard (EBAH) models, among young (20-39 years), middle-aged (40-64 years), and elderly (≥ 65 years) women.
methodsData from 1,574 breast cancer patients diagnosed from 2002 to 2012 in the cancer registry of Fars Province (southern Iran) were stratified into 3 age groups. The Kaplan-Meier method was used to estimate the overall survival rates. Cox and EBAH models were applied to each age category, and the Akaike information criterion was used to assess the goodness-of-fit of the 2 hazard models.
resultsAs of December 2012, 212 women (13.5%) in our study population had died, of whom 43 were young (15.3%), 134 middle-aged (11.8%), and 35 elderly (22.3%). The 5-year survival probability by age category was 0.83 (standard error [SE], 0.03), 0.88 (SE, 0.01), and 0.75 (SE, 0.04), respectively.
conclusionsThe Nottingham Prognostic Index was the most effective prognostic factor. The model based on Bayesian methodology performed better with various sample sizes than the Cox model, which is the most widely used method of survival analysis.
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