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A comparison of breast cancer survival among young, middle-aged, and elderly patients in southern Iran using Cox and empirical Bayesian additive hazard models
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Samane Nematolahi, Seyyed Mohammad Taghi Ayatollahi
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Epidemiol Health. 2017;39:e2017043. Published online October 16, 2017
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DOI: https://doi.org/10.4178/epih.e2017043
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Abstract
OBJECTIVES
A 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.
METHODS Data 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.
RESULTS As 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.
CONCLUSIONS The 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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Summary
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Citations
Citations to this article as recorded by  - Survivability Prediction of Breast Cancer Patients Using Three Data Mining Methods: A Comparative Study
Maryam Jalali, Navid Reza Ghasemi, Samane Nematolahi, Najaf Zare
Epidemiology and Health System Journal.2024; 11(1): 7. CrossRef - Cancer Unveiling: A Profile of Incidence and Trends in Bam City, Southeast Iran
Maryam Jalali, Navid Reza GHasemi, Sajad KHosravi, Mahnaz Hasani, Samane Nematolahi, Najaf Zare
South Asian Journal of Cancer.2024;[Epub] CrossRef - The health literacy level and its related factors in Iranian women with breast cancer undergoing chemotherapy
Reyhaneh Sadeghian, Mahsa Asadollahi Hamedani, Sajad Salehipour, Anahita Sarabandi, Fatemeh Kiani, Hassan Babamohamadi
Frontiers in Public Health.2023;[Epub] CrossRef - sHLA-G as a biomarker for colorectal cancer pathogenesis
Sabrine Dhouioui, Nadia Boujelbene, Hanen Chelbi, Ines Zemni, Ines Ben Safta, Hadda-Imene Ouzari, Amel Mezlini, Abdel Halim Harrath, Vera Rebmann, Inès Zidi
Journal of King Saud University - Science.2022; 34(1): 101708. CrossRef - Geo-epidemiological reporting and spatial clustering of the 10 most prevalent cancers in Iran
Ebrahim Babaee, Gholamreza Roshandel, Meysam Olfatifar, Arash Tehrani-Banihashemi, Arezou Ashaari, Marzieh Nojomi
Geospatial Health.2021;[Epub] CrossRef - BREAST CANCER IN WESTERN KAZAKHSTAN: INCIDENCE, MORTALITY AND FACTORS ASSOCIATED WITH SURVIVAL
Marzhan A. Aitmagambetova, Yerbol Zh. Bekmukhambetov, Gaziza A. Smagulova, Anar B. Tulyayeva, Arip K. Koyshybaev, Andrey M. Grjibovski
Ekologiya cheloveka (Human Ecology).2021; 28(7): 51. CrossRef - Validation of the 8th edition of the American Joint Committee on Cancer Pathological Prognostic Staging for young breast cancer patients
Juan Zhou, Jian Lei, Jun Wang, Chen-Lu Lian, Li Hua, Li-Chao Yang, San-Gang Wu
Aging.2020; 12(8): 7549. CrossRef
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Longitudinal standards for growth velocity of infants from birth to 4 years born in West Azerbaijan Province of northwest Iran
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Parvin Ghaemmaghami, Seyyed Mohammad Taghi Ayatollahi, Vahid Alinejad, Elham Haem
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Epidemiol Health. 2015;37:e2015029. Published online June 23, 2015
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DOI: https://doi.org/10.4178/epih/e2015029
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17,142
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168
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Abstract
OBJECTIVES
Growth velocity is an important factor to monitor for appropriate child growth. This study presents the growth velocity of infants based on length, weight, and head circumference.
METHODS The subjects of this study were 308 neonates (160 boys and 148 girls) born in West Azerbaijan Province of northwestern Iran who were followed from birth for 4 years. The weights and lengths of the subjects were recorded at birth, 1, 2, 4, 6, and 9 months, and 1, 1.5, 2, 3, and 4 years of age, while the head circumferences were measured just up to 1.5 years of age. In this study, the Lambda-Mu-Sigma (LMS) method using LMS Chartmaker Pro (Institute of Child Health, London, UK) was utilized to obtain growth velocity percentiles.
RESULTS After obtaining growth velocity charts for weight, length, and head circumference (5th, 50th, and 95th percentiles), the researchers could deduce that there was a sharp decrease in the velocity growth charts from birth to 2 years of age but these charts remained relatively stable up to 4 years for both sexes. Growth velocities for the length and weight of boys in the present sample are slightly but not significantly greater than those in girls through the first months of infancy and there was no significant difference between girls and boys up to 4 years.
CONCLUSIONS This paper provided the first local growth velocity standards of length, weight, and head circumference for infants by analyzing longitudinal measurements produced for West Azerbaijan Province, which should be updated periodically. It seems that there has been a significant difference between the growth velocity of infants in northwestern Iran and southern Iran within the past few years.
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Summary
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Citations
Citations to this article as recorded by - New French height velocity growth charts: An innovative big‐data approach based on routine measurements
Pauline Scherdel, Marion Taine, Manon Bergerat, Andreas Werner, Julien Le Breton, Michel Polak, Agnès Linglart, Rachel Reynaud, Bruno Frandji, Jean‐Claude Carel, Raja Brauner, Martin Chalumeau, Barbara Heude
Acta Paediatrica.2024;[Epub] CrossRef - Growth Velocity and Nutritional Status in Children Exposed to Zika Virus during Pregnancy from Amazonas Cohort, Brazil
Lucíola de Fátima Albuquerque de Almeida Peixoto, Marília Rosa Abtibol-Bernardino, Cecilia Victoria Caraballo Guerra, Geruza Alfaia de Oliveira, Beatriz Caroline Soares Chaves, Cristina de Souza Rodrigues, Anny Beatriz Costa Antony de Andrade, Elijane de
Viruses.2023; 15(3): 662. CrossRef - Limitations of Weight Velocity Analysis by Commercial Computer Program Growth Analyser Viewer Edition
Martin J. C. van Gemert, Cornelis M. A. Bruijninckx, Ton G. van Leeuwen, H. A. Martino Neumann, Pieter J. J. Sauer
Annals of Biomedical Engineering.2019; 47(1): 297. CrossRef - Weight velocity equations with 14–448 days time separated weights should not be used for infants under 3 years of age
Martin J.C. van Gemert, Cornelis M.A. Bruijninckx, H.A. Martino Neumann, Pieter J.J. Sauer, D. Martijn de Bruin, Ton G. van Leeuwen
Medical Hypotheses.2019; 129: 109234. CrossRef - Growth indices of exclusively breastfed until 6 months age and formula-fed infants in southwest of Iran
Jan-mohamad Malekzadeh, Saiid Synaii, BehroozEbrahimzadeh Koor, Ghasem Falsafian, Mahmood-Reza Nakhaie
International Journal of Preventive Medicine.2019; 10(1): 207. CrossRef - Growth curves and their associated weight and height factors in children from birth to 4 years old in West Azerbaijan Province, northwest Iran
P. Ghaemmaghami, S.M.T. Ayatollahi, V. Alinejad, Z. Sharafi
Archives de Pédiatrie.2018; 25(6): 389. CrossRef
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