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Systematic Review
Risk factors for stomach cancer: a systematic review and meta-analysis
Jalal Poorolajal, Leila Moradi, Younes Mohammadi, Zahra Cheraghi, Fatemeh Gohari-Ensaf
Epidemiol Health. 2020;42:e2020004.   Published online February 2, 2020
DOI: https://doi.org/10.4178/epih.e2020004
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AbstractAbstract PDFSupplementary Material
Abstract
OBJECTIVES
This report provides information on 14 behavioral and nutritional factors that can be addressed in stomach cancer prevention programs.
METHODS
PubMed, Web of Science, and Scopus were searched through December 2018. Reference lists were also screened. Observational studies addressing the associations between stomach cancer and behavioral factors were analyzed. Between-study heterogeneity was investigated using the χ<sup>2</sup>, τ<sup>2</sup>, and I<sup>2</sup> statistics. The likelihood of publication bias was explored using the Begg and Egger tests and trim-and-fill analysis. Effect sizes were expressed as odds ratios (ORs) with 95% confidence intervals (CIs) using a random-effects model.
RESULTS
Of 52,916 identified studies, 232 (including 33,831,063 participants) were eligible. The OR (95% CI) of factors associated with stomach cancer were as follows: <i>Helicobacter pylori</i> infection, 2.56 (95% CI, 2.18 to 3.00); current smoking, 1.61 (95% CI, 1.49 to 1.75); former smoking 1.43 (95% CI, 1.29 to 1.59); current drinking, 1.19 (95% CI, 1.10 to 1.29); former drinking, 1.73 (95% CI, 1.17 to 2.56); overweight/obesity, 0.89 (95% CI, 0.74 to 1.08); sufficient physical activity, 0.83 (95% CI, 0.68 to 1.02); consumption of fruits ≥3 times/wk, 0.48 (95% CI, 0.37 to 0.63); consumption of vegetables ≥3 times/wk, 0.62 (95% CI, 0.49 to 0.79); eating pickled vegetables, 1.28 (95% CI, 1.09 to 1.51); drinking black tea, 1.00 (95% CI, 0.84 to 1.20); drinking green tea, 0.88 (95% CI, 0.80 to 0.97); drinking coffee, 0.99 (95% CI, 0.88 to 1.11); eating fish ≥1 time/wk 0.79 (95% CI, 0.61 to 1.03); eating red meat ≥4 times/wk 1.31 (95% CI, 0.87 to 1.96), and high salt intake 3.78 (95% CI, 1.74 to 5.44) and 1.34 (95% CI, 0.88 to 2.03), based on two different studies.
CONCLUSIONS
This meta-analysis provided a clear picture of the behavioral and nutritional factors associated with the development of stomach cancer. These results may be utilized for ranking and prioritizing preventable risk factors to implement effective prevention programs.
Summary

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Original Articles
Life expectancy of HIV-positive patients after diagnosis in Iran from 1986 to 2016: A retrospective cohort study at national and sub-national levels
Mohammad Mirzaei, Maryam Farhadian, Jalal Poorolajal, Parvin Afasr Kazerooni, Katayoun Tayeri, Younes Mohammadi
Epidemiol Health. 2018;40:e2018053.   Published online November 7, 2018
DOI: https://doi.org/10.4178/epih.e2018053
  • 9,488 View
  • 172 Download
  • 2 Citations
AbstractAbstract PDF
Abstract
OBJECTIVES
Little is known about the life expectancy of individuals with human immunodeficiency virus (HIV) in Iran. This study therefore aimed to estimate the life expectancy of HIV-positive patients in Iran.
METHODS
In this retrospective cohort study, we extracted data from the Center for Disease Control and Prevention of the Ministry of Health and Medical Education and the Death Registration System. We included patients aged 20 years and older who had a specified date of diagnosis. We estimated life expectancy and its 95% confidence intervals (CIs) using Chiang’s methodology.
RESULTS
The overall life expectancy at the national level was 23.1 years (95% CI, 22.6 to 23.5). Life expectancy was 21.6 years (95% CI, 21.1 to 22.0) for men and 32.7 years (95% CI, 31.4 to 34.0) for women. The life expectancy of patients who did or did not receive antiretroviral therapy (ART) was 37.0 years (95% CI, 36.2 to 37.8) and 15.5 years (95% CI, 15.1 to 15.9), respectively. The life expectancy of patients with or without tuberculosis (TB) was 21.6 years (95% CI, 20.4 to 22.9) and 36.5 years (95% CI, 35.7 to 37.4), respectively.
CONCLUSIONS
The life expectancy of Iranian HIV-positive patients was found to be very low. To improve their longevity, improvements in ART coverage and the control and treatment of TB are advised.
Summary

Citations

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  • Factors related to baseline CD4 cell counts in HIV/AIDS patients: comparison of poisson, generalized poisson and negative binomial regression models
    Maryam Farhadian, Younes Mohammadi, Mohammad Mirzaei, Nasrin Shirmohammadi-Khorram
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    Fatemeh Gh.Barkish, Rostam Jalali, Amir Jalali
    Heliyon.2019; 5(8): e02278.     CrossRef
Using the capture-recapture method to estimate the human immunodeficiency virus-positive population
Jalal Poorolajal, Younes Mohammadi, Farzad Farzinara
Epidemiol Health. 2017;39:e2017042.   Published online October 10, 2017
DOI: https://doi.org/10.4178/epih.e2017042
  • 11,881 View
  • 227 Download
  • 11 Citations
AbstractAbstract PDF
Abstract
OBJECTIVES
The capture-recapture method was applied to estimate the number of human immunodeficiency virus (HIV)-positive individuals not registered with any data sources.
METHODS
This cross-sectional study was conducted in Lorestan Province, in the west of Iran, in 2016. Three incomplete sources of HIV-positive individuals, with partially overlapping data, were used, including: (a) transfusion center, (b) volunteer counseling and testing centers (VCTCs), and (c) prison. The 3-source capture-recapture method, using a log-linear model, was applied for data analysis. The Akaike information criterion and the Bayesian information criterion were used for model selection.
RESULTS
Of the 2,456 HIV-positive patients registered in these 3 data sources, 1,175 (47.8%) were identified in transfusion center, 867 (35.3%) in VCTCs, and 414 (16.8%) in prison. After the exclusion of duplicate entries, 2,281 HIV-positive patients remained. Based on the capture-recapture method, 14,868 (95% confidence interval, 9,923 to 23,427) HIV-positive individuals were not identified in any of the registries. Therefore, the real number of HIV-positive individuals was estimated to be 17,149, and the overall completeness of the 3 registries was estimated to be around 13.3%.
CONCLUSIONS
Based on capture-recapture estimates, a huge number of HIV-positive individuals are not registered with any of the provincial data sources. This is an urgent message for policymakers who plan and provide health care services for HIV-positive patients. Although the capture-recapture method is a useful statistical approach for estimating unknown populations, due to the assumptions and limitations of the method, the population size may be overestimated as it seems possible in our results.
Summary

Citations

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