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Brennan, P., McKay, J., Moore, L., Zaridze, D., Mukeria, A., Szeszenia-Dabrowska, N., Lissowska, J., Rudnai, P., Fabianova, E., Mates, D., Bencko, V., Foretova, L., Janout, V., Chow, W.H., Rothman, N., Chabrier, A., Gaborieau, V., Timpson, N., Hung, R.J. and Smith, G.D. (2009) Obesity and Cancer: Mendelian Randomization Approach Utilizing the FTO Genotype. International Journal of Epidemiology, 38, 971-975.
http://dx.doi.org/10.1093/ije/dyp162
has been cited by the following article:
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TITLE:
Effects of Obesity and Smoking on Survival in Non-Small Cell Lung Cancer
AUTHORS:
Damien M. Hansra, Tulay Koru-Sengul, Wei Zhao, Feng Miao, Alicia P. Monedero, Stacey L. Tannenbaum, David J. Lee, Judith Hurley, Margaret M. Byrne
KEYWORDS:
Lung Cancer, Non-Small Cell Lung Cancer, Tobacco, Smoking, Obesity
JOURNAL NAME:
Open Journal of Epidemiology,
Vol.6 No.2,
May
24,
2016
ABSTRACT: Background: Obesity is an emerging leading
cause of morbidity and mortality in the US and the relationship between
obesity, tobacco, and survival in NSCLC is unclear. Methods: Data (n = 87,631)
were obtained from linkage of the 1996-2007 Florida Cancer Data System to the
Agency for Health Care Administration database providing procedure and
diagnoses codes. Survival time was calculated from date of diagnosis to date of
death. Smoking status was categorized as never, current, and former. Obesity
(yes/no) = ICD9 code BMI > 30 kg/m2, cachexia = ICD9 code “wasting
syndrome”, & non-obese = non-obese & non cachectic. Cox proportional
regression models used to predict survival; demographic, clinical, treatment
factors, & comorbidities were included in adjusted models with smoking
status and obesity as the main factors. Results: The majority of patients (pts)
were either former (49%) or current (40%) smokers, & non-obese (88%). 6.8%
of pts were obese & 4.8% of pts were cachectic. There were significant
differences between survival curves and median survival (months) for obese vs.
non-obese vs. cachectic pts. (20 vs 10 vs. 7.9; P