1609-P: Diabetes and Risk of All-Cause and Cancer-Specific Mortality in Breast, Prostate, and Colorectal Cancer Survivors

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1609-P
Author(s):  
XIONG CHEN ◽  
JIAN XIAO ◽  
YAFENG WANG ◽  
FEIXIA SHEN
Keyword(s):  
Colorectal Cancer ◽  
Cancer Survivors ◽  
Colorectal Cancer Survivors ◽  
Specific Mortality ◽  
Cancer Specific Mortality

scholarly journals Association of hormone replacement therapy with mortality in colorectal cancer survivor: a systematic review and meta-analysis

BMC Cancer ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Yeu-Chai Jang ◽  
Hsi-Lan Huang ◽  
Chi Yan Leung
Keyword(s):  
Colorectal Cancer ◽  
Hormone Replacement Therapy ◽  
Cancer Survivors ◽  
Replacement Therapy ◽  
Meta Analysis ◽  
Hormone Replacement ◽  
Colorectal Cancer Survivors ◽  
Specific Mortality ◽  
Cancer Specific Mortality ◽  
Overall Mortality

Abstract Background Hormone replacement therapy (HRT) use has shown to be associated with a reduced risk of colorectal cancer, however, its impact on survival among women with colorectal cancer remains uncertain. This meta-analysis aimed to systematically assess the survival benefit of HRT use in patients with colorectal cancer. Methods PRISMA guidelines for the reporting of meta-analyses were followed. We systematically searched PubMed, Embase, Cochrane library, Scopus, and PsycINFO from inception to 12 January 2019, with no language restrictions, for randomized controlled trials and cohort studies reporting the association between hormone replacement therapy and risk of colorectal cancer mortality or all-cause mortality in colorectal cancer survivors. We used the Newcastle-Ottawa Scale to assess the risk of bias of the included studies. We summarized the association as hazard ratio (HR; 95% CI) using random-effects meta-analysis. The study protocol was registered in PROSPERO (CRD42017071914). Results Of 1648 articles identified, five cohorts including 10,013 colorectal cancer survivors were included in this meta-analysis. Compared with women with no prior use of HRT, those reporting current use of HRT had lower risks of colorectal cancer-specific mortality (HR, 0.71 [95% CI, 0.62–0.80], I2 = 0%) and overall mortality (HR, 0.74 [95% CI, 0.67–0.81], I2 = 0%). Low between-study variance was also suggested by the narrow prediction interval for colorectal cancer-specific mortality (0.58–0.86) and overall mortality (0.63–0.87), which indicated that a future study will show survival benefits in women with current HRT use compared with those with no HRT exposure. Inverse associations with colorectal cancer-specific (HR, 1.02 [95% CI, 0.82–1.28], I2 = 0%) and overall mortality (HR, 1.07 [95% CI, 0.90–1.27], I2 = 0%) were not observed for former users of HRT. Sensitivity analyses revealed no differences in the risk estimates between two groups. Conclusions The findings suggest that the current use of HRT is associated with lower risks of colorectal cancer-specific and overall mortality in patients with colorectal cancer. Further investigations to elucidate the underlying mechanism are warranted.

Active Smoking and Mortality Among Colorectal Cancer Survivors: The Cancer Prevention Study II Nutrition Cohort

2015 ◽  
Vol 33 (8) ◽  
pp. 885-893 ◽  
Author(s):  
Baiyu Yang ◽  
Eric J. Jacobs ◽  
Susan M. Gapstur ◽  
Victoria Stevens ◽  
Peter T. Campbell
Keyword(s):  
Colorectal Cancer ◽  
Cancer Survivors ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Active Smoking ◽  
Current Smoking ◽  
Colorectal Cancer Survivors ◽  
All Cause Mortality ◽  
Specific Mortality ◽  
Cancer Specific Mortality

Purpose Active smoking is associated with higher colorectal cancer risk, but its association with survival after colorectal cancer diagnosis is unclear. We investigated associations of smoking, before and after diagnosis, with all-cause and colorectal cancer–specific mortality among colorectal cancer survivors. Patients and Methods From a cohort of adults who were initially free of colorectal cancer, we identified 2,548 persons diagnosed with invasive, nonmetastatic colorectal cancer between baseline (1992 or 1993) and 2009. Vital status and cause of death were determined through 2010. Smoking was self-reported on the baseline questionnaire and updated in 1997 and every 2 years thereafter. Postdiagnosis smoking information was available for 2,256 persons (88.5%). Results Among the 2,548 colorectal cancer survivors, 1,074 died during follow-up, including 453 as a result of colorectal cancer. In multivariable-adjusted Cox proportional hazards regression models, prediagnosis current smoking was associated with higher all-cause mortality (relative risk [RR], 2.12; 95% CI, 1.65 to 2.74) and colorectal cancer–specific mortality (RR, 2.14; 95% CI, 1.50 to 3.07), whereas former smoking was associated with higher all-cause mortality (RR, 1.18; 95% CI, 1.02 to 1.36) but not with colorectal cancer–specific mortality (RR, 0.89; 95% CI, 0.72 to 1.10). Postdiagnosis current smoking was associated with higher all-cause (RR, 2.22; 95% CI, 1.58 to 3.13) and colorectal cancer–specific mortality (RR, 1.92; 95% CI, 1.15 to 3.21), whereas former smoking was associated with all-cause mortality (RR, 1.21; 95% CI, 1.03 to 1.42). Conclusion This study adds to the existing evidence that cigarette smoking is associated with higher all-cause and colorectal cancer–specific mortality among persons with nonmetastatic colorectal cancer.

Predictors of SF-6D scores among long-term colorectal cancer survivors

2010 ◽  
Author(s):  
Mark C. Hornbrook ◽  
Christopher S. Wendel ◽  
Stephen Joel Coons ◽  
Marcia Grant ◽  
Lisa J. Herrinton ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Survivors ◽  
Colorectal Cancer Survivors

scholarly journals Chemotherapy and Anesthesia in Colorectal Cancer Survivors and the Risk of Alzheimer’s Disease

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 263-264
Author(s):  
Igor Akushevich ◽  
Arseniy Yashkin ◽  
Julia Kravchenko ◽  
Miklos Kertai
Keyword(s):  
Colorectal Cancer ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cancer Survivors ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Harmful Effect ◽  
Sensitivity Analyses ◽  
Colorectal Cancer Survivors ◽  
Multivariable Analyses

Abstract Exposures common in cancer patients––chemotherapy, surgical injury and/or anesthesia, alone or in combination with predisposing factors––have been suggested as potential risk factors for Alzheimer’s disease (AD). We explored the relationship between chemotherapy and cumulative anesthesia exposure, and development of AD in colorectal cancer survivors. We conducted a retrospective cohort study of individuals age 65 and older diagnosed with colorectal cancer between 1998 and 2013, drawing on SEER-Medicare data and employing a proportional hazards model. We found that exposure to chemotherapy in colorectal cancer survivors demonstrated a protective effect for AD HR=0.821 (0.784-0.860). The beneficial effect held in race-, sex-, cancer-stage-specific subgroups, across chemotherapy agents (e.g., Fluorouracil, Oxaliplatin, or Fluorouracil+Leucovorin), in multivariable analyses, and in propensity score-based pseudorandomization based on 70 demographic, socioeconomic, cancer-diagnosis-related, and comorbidity variables. The effect was diminished or absent when non-AD dementias were analyzed. Findings further demonstrated that the association between chemotherapy exposure and AD was not affected by competing risk of long-term mortality or possible correlation between choosing chemotherapy and higher cognitive score or use of alternative health insurance. The effect of anesthesia on AD was not significant (0.998 per hour, 0.992-1.005) and this effect held in all subgroups, multivariable analyses, and for pseudorandomized subpopulations. Harmful effect was detected for cerebral degeneration, excluding AD, cognitive deficits following cerebral hemorrhage, cognitive disorder due to injury, hepatic encephalopathy, and hepatolenticular degeneration. Sensitivity analyses focused on SEER-Registry-specific effects and possible misspecifications in anesthesia records with alternative models demonstrated stability of estimates.

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