Journal of Epidemiology and Global Health

Volume 7, Issue Supplement 1, March 2018, Pages S1 - S6

An overview of mortality & predictors of small-cell and non-small cell lung cancer among Saudi patients

Authors
Hatim I. Alghamdia, *, Hatimalghamdi077@gmail.com, Ali F. Alshehria, Ghada N. Farhatb
aMinistry of Health, Saudi Arabia
bEmory University, Rollins School of Public Health, Hubert Department of Global Health, USA
*Corresponding author at: Baha – building No. 6800, Unit 2, Baha 65711-3508, Saudi Arabia.
Corresponding Author
Received 19 June 2017, Revised 6 September 2017, Accepted 18 September 2017, Available Online 28 September 2017.
DOI
10.1016/j.jegh.2017.09.004How to use a DOI?
Abstract

Lung cancer ranks as the top cancer worldwide in terms of incidence and constitutes a major health problem. About 90% of lung cancer cases are diagnosed at advance stage where treatment is not available. Despite evidence that lung cancer screening improves survival, guidelines for lung cancer screening are still a subject for debate. In Saudi Arabia, only 14% of lung cancers are diagnosed at early stage and researches on survival and its predictors are lacking. This overview analysis was conducted on predictors of lung cancer mortality according to the two major cancer types, small-cell lung cancers (SCLCs) and non-small cell lung cancers (NSCLCs) in Saudi Arabia. A secondary data analysis was performed on small-cell lung cancers (SCLCs) and Non-small cell lung cancers (NSCLCs) registered in the Saudi Cancer Registry (SCR) for the period 2009–2013 to estimate predictors of mortality for both lung cancer types. A total of 404 cases (197 SCLC and 207 NSCLC) were included in the analysis, all Saudi nationals. A total of 213 (52.75%) deaths occurred among lung cancer patients, 108 (54.82%) among SCLCs and 105 (50.72%) among NCSLCs. Three quarter of patients are diagnosis with advance stage for both SCLC & NSCLC. Univariate analysis revealed higher mean age at diagnosis in dead patients compared to alive patients for SCLCs (p = 0.04); but not NSCLCs, a lower mortality for NSCLCs diagnosed in 2013 (p = 0.025) and a significant difference in stage of tumor (p = 0.006) and (p = 0.035) for both SCLC and NSCLC respectively. In multiple logistic regression, stage of tumor was a strong predictor of mortality, where distant metastasis increased morality by 6-fold (OR = 5.87, 95% CI: 2.01 – 17.19) in SCLC and by 3-fold (OR = 3.29, 95% CI: 1.22 – 8.85) in NSCLC, compared to localized tumors. Those with NSCLC who were diagnosed in 2013 were less likely to die by 64% compared to NSCLC diagnosed in 2009 (OR = 0.36, 95% CI: 0.14 – 0.93). Age, sex, topography and laterality were not associated with mortality for both types of lung cancer. We observed that the stage of the tumor is the strongest predictor of mortality for both SCLCs and NSCLs. This confirms the impact of diagnostic stage on survival. However, establishing Saudi-specific lung cancer screening guidelines will require further research on the benefits and harms of screening modalities in the Saudi population.

Copyright
© 2017 Ministry of Health, Saudi Arabia. Published by Elsevier Ltd.
Open Access
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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Journal
Journal of Epidemiology and Global Health
Volume-Issue
7 - Supplement 1
Pages
S1 - S6
Publication Date
2017/09/28
ISSN (Online)
2210-6014
ISSN (Print)
2210-6006
DOI
10.1016/j.jegh.2017.09.004How to use a DOI?
Copyright
© 2017 Ministry of Health, Saudi Arabia. Published by Elsevier Ltd.
Open Access
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Cite this article

TY  - JOUR
AU  - Hatim I. Alghamdi
AU  - Ali F. Alshehri
AU  - Ghada N. Farhat
PY  - 2017
DA  - 2017/09/28
TI  - An overview of mortality & predictors of small-cell and non-small cell lung cancer among Saudi patients
JO  - Journal of Epidemiology and Global Health
SP  - S1
EP  - S6
VL  - 7
IS  - Supplement 1
SN  - 2210-6014
UR  - https://doi.org/10.1016/j.jegh.2017.09.004
DO  - 10.1016/j.jegh.2017.09.004
ID  - Alghamdi2017
ER  -