Dataset Information

Cancer Mortality in People Treated with Antidepressants before Cancer Diagnosis: A Population Based Cohort Study.

ABSTRACT:

Background

Depression is common after a cancer diagnosis and is associated with an increased mortality, but it is unclear whether depression occurring before the cancer diagnosis affects cancer mortality. We aimed to study cancer mortality of people treated with antidepressants before cancer diagnosis.

Methods and findings

We conducted a population based cohort study of all adults diagnosed with cancer between January 2003 and December 2010 in Denmark (N = 201,662). We obtained information on cancer from the Danish Cancer Registry, on the day of death from the Danish Civil Registry, and on redeemed antidepressants from the Danish National Prescription Registry. Current users of antidepressants were defined as those who redeemed the latest prescription of antidepressant 0-4 months before cancer diagnosis (irrespective of earlier prescriptions), and former users as those who redeemed the latest prescription five or more months before cancer diagnosis. We estimated an all-cause one-year mortality rate ratio (MRR) and a conditional five-year MRR for patients who survived the first year after cancer diagnosis and confidence interval (CI) using a Cox proportional hazards regression model. Overall, 33,111 (16.4%) patients redeemed at least one antidepressant prescription in the three years before cancer diagnosis of whom 21,851 (10.8%) were current users at the time of cancer diagnosis. Current antidepressant users had a 32% higher one-year mortality (MRR = 1.32, 95% CI: 1.29-1.35) and a 22% higher conditional five-year mortality (MRR = 1.22, 95% CI: 1.17-1.26) if patients survived the first year after the cancer diagnosis than patients not redeeming antidepressants. The one-year mortality was particularly high for patients who initiated antidepressant treatment within four months before cancer diagnosis (MRR = 1.54, 95% CI: 1.47-1.61). Former users had no increased cancer mortality.

Conclusions

Initiation of antidepressive treatment prior to cancer diagnosis is common and is associated with an increased mortality.

SUBMITTER: Sun Y

PROVIDER: S-EPMC4569483 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Publications

Cancer Mortality in People Treated with Antidepressants before Cancer Diagnosis: A Population Based Cohort Study.

Sun Yuelian Y Vedsted Peter P Fenger-Grøn Morten M Wu Chun Sen CS Bech Bodil Hammer BH Olsen Jørn J Benros Michael Eriksen ME Vestergaard Mogens M

PloS one 20150914 9

<h4>Background</h4>Depression is common after a cancer diagnosis and is associated with an increased mortality, but it is unclear whether depression occurring before the cancer diagnosis affects cancer mortality. We aimed to study cancer mortality of people treated with antidepressants before cancer diagnosis.<h4>Methods and findings</h4>We conducted a population based cohort study of all adults diagnosed with cancer between January 2003 and December 2010 in Denmark (N = 201,662). We obtained in ...[more]

PMID: 26367120

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Project description:BackgroundConcerns have been raised about access to cancer screening and the timely receipt of cancer care for people with an intellectual disability (ID). However, knowledge about cancer mortality as a potential consequence of these disparities is still limited. This study, therefore, compared cancer-related mortality patterns between people with and without ID.MethodsA historical cohort study (2015-2019) linked the Dutch adult population (approximately 12 million people with an ID prevalence of 1.45%) and mortality registries. Cancer-related mortality was identified by the underlying cause of death (according to the chapter on neoplasms in the International Classification of Diseases, Tenth Revision). Observed mortality and calculated age- and sex-standardized mortality ratios (SMRs) with 95% confidence intervals (CIs) were reported.ResultsThere were 11,102 deaths in the ID population (21.7% cancer-related; n = 2408) and 730,405 deaths in the general population (31.2%; n = 228,120) available for analysis. Cancer was noted as the cause of death more often among people with ID in comparison with the general population (SMR, 1.48; 95% CI, 1.42-1.54), particularly in the young age groups. High-mortality cancers included cancers within the national screening program (SMRs, 1.43-1.94), digestive cancers (SMRs, 1.24-2.56), bladder cancer (SMR, 2.07; 95% CI, 1.61-2.54), and cancers of unknown primary (SMR, 2.48; 95% CI, 2.06-2.89).ConclusionsCancer was reported as the cause of death approximately 1.5 times more often in people with ID compared with the general population. This mortality disparity may indicate adverse effects from inequalities in screening and cancer care experienced by people with ID.Lay summaryPeople with an intellectual disability (ID) may find it challenging to participate in cancer screening or to receive timely cancer care. To understand potential consequences in terms of mortality, this study compared cancer-related mortality between people with and without ID in the Netherlands. Cancer was reported as the cause of death approximately 1.5 times more often among people with ID than others. Because large differences were found that were related to screening cancers and cancers for which the primary tumor was unknown, this study's results raise concerns about equality in screening practices and cancer care for people with ID.

Project description:Postdiagnosis diet and alcohol consumption may be associated with cancer prognosis, recurrence and mortality. Our aim was to investigate food, nutrient and alcohol intake variations between before and after cancer diagnosis and their determinants in a prospective cohort. Subjects (n?=?696) were incident cancer cases diagnosed in the NutriNet-Santé cohort between 2009 and 2016. Food, nutrient and alcohol intakes were prospectively collected using repeated nonconsecutive 24-hr dietary records since subjects' inclusion (i.e. an average of 2 y before diagnosis). Mean number of dietary records per subject was 5.9 before and 8.1 after diagnosis. All dietary data before and after diagnosis were compared by mixed models. Factors associated with the main dietary changes observed were also investigated using multivariable logistic regressions. We observed a decrease in intakes of vegetables (mean decrease in intake in patients who decreased their intake=-102.4?±?79.8 g/d), dairy products (-93.9?±?82.8 g/d), meat/offal (-35.5?±?27.8/d), soy products (-85.8?±?104.1 g/d), sweetened soft drinks (-77.9?±?95.4 g/d), and alcoholic drinks (-92.9?±?119.9 g/d), and an increase in broths (42.1?±?34.9 g/d) and fats/sauces (18.0?±?13.4 g/d). We observed a decrease in energy intake (-377.2?±?243.5 kcal/d) and in intakes of alcohol (-7.6?±?9.4 g/d) proteins (-17.4?±?12.5 g/d), and several vitamins (p?<?0.05) and micronutrients (p?<?0.05). Conversely, lipid (19.4?±?14.6 g/d), SFA (9.3?±?7.0 g/d), MUFA (8.3?±?6.3 g/d) and vitamin E (3.9?±?3.3 mg/d) intakes increased after diagnosis. This large prospective study suggests that cancer diagnosis is a key period for nutritional changes. It highlights some healthy behaviors such as a decrease in alcohol and sweetened drink consumption, but also less favorable trends, such as a decrease in vegetable consumption and in many vitamin and mineral intakes. These results provide insights to identify and target recommendations to put forward for better nutritional care of cancer survivors.

Project description:IntroductionPrevious research on post-diagnosis smoking among cancer survivors mainly relied on smoking status, which may not fully reflect the impact of changes in smoking levels. This study aimed to evaluate mortality risk according to smoking trajectories among Korean male cancer survivors, using a trajectory approach to comprehensively capture smoking patterns.MethodsThe study included 110555 men diagnosed with cancer between 2002 and 2018 from the Korean National Health Information Database. Group-based trajectory modelling was used to identify post-diagnosis smoking trajectories among pre-diagnosis current smokers (n=45331). Cox hazards models were fitted to evaluate mortality risk according to smoking trajectories for pooled cancers, pooled smoking-related cancers, smoking-unrelated cancers, and gastric, colorectal, liver, and lung cancers.ResultsSmoking trajectories included light-smoking quitters, heavy-smoking quitters, consistent moderate smokers, and decreasing heavy smokers. Smoking significantly increased all-cause and cancer mortality risks in cancer patients for pooled cancers, pooled smoking-related cancers, and pooled smoking-unrelated cancers. Compared to non-smokers, all-cause mortality risk for pooled cancers significantly increased according to smoking trajectories:(AHR=1.33; 95% CI: 1.27-1.40), (AHR=1.39; 95% CI: 1.34-1.44), (AHR=1.44; 95% CI: 1.34-1.54), and (AHR=1.47; 95% CI: 1.36-1.60), respectively. Smoking increased all-cause and cancer mortality risks in gastric and colorectal cancer patients and cancer-specific mortality in lung cancer patients. The significant associations of smoking trajectories with all-cause and cancer mortality risks were primarily observed in 5-year survivors but not in short-term survivors. Among heavy smokers, smoking cessation significantly reduced all-cause mortality risk in the long-term.ConclusionsThe post-diagnosis smoking trajectory independently predicts cancer prognosis among male cancer patients. Proactive cessation support should be strengthened, particularly for those who smoke heavily.

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Project description:BACKGROUND:Risk factors for cause-specific mortality have not been widely studied among people with HIV infection. Our objectives were to estimate rates of and risk factors for all-cause and cause-specific mortality from 1995 to 2014 among HIV-infected people in Ontario. METHODS:We conducted a population-based retrospective cohort study using provincial health databases of people with HIV infection who were aged 16 years or more, were residents of Ontario between 1995 and 2014, and had HIV infection according to a previously validated algorithm. We used International Classification of Diseases codes to classify the underlying cause of death and estimated age-adjusted mortality rates per 100 person-years for 1995 to 2014. We used descriptive statistics to characterize the cohort at baseline and calculated adjusted mortality rate ratios (RRs) using generalized estimating equations. RESULTS:Among 23 043 people, the all-cause mortality rate declined from 6.69 to 1.53 per 100 person-years over the study period, and the rate of death from HIV/AIDS declined from 4.75 to 0.46 per 100 person-years. Concomitantly, the proportions of deaths due to cancer, cardiovascular disease and other noncommunicable diseases rose; however, rates remained constant or declined. Compared to males, females had higher mortality due to cardiovascular disease (adjusted RR 1.36, 95% confidence interval [CI] 1.04-1.77), noncommunicable causes (adjusted RR 1.75, 95% CI 1.39-2.20) and, by 2010-2014, any cause (adjusted RR 1.19, 95% CI 1.02-1.38). Residing in a low-income neighbourhood was associated with increased risk for most causes, including HIV/AIDS (adjusted RR in 2010-2014 1.86, 95% CI 1.49-2.31). Rural residence was associated with increased mortality due to malignant disease (adjusted RR 1.60, 95% CI 1.10-2.34) and noncommunicable disease (adjusted RR 1.86, 95% CI 1.25-2.77). Being an immigrant was associated with lower risk of death from all causes. INTERPRETATION:Over the study period, death was increasingly due to common chronic conditions rather than to HIV infection itself. Care should incorporate the prevention and management of these conditions, especially among females and those residing in rural and low-income areas.

Dataset Information

Cancer Mortality in People Treated with Antidepressants before Cancer Diagnosis: A Population Based Cohort Study.

Background

Methods and findings

Conclusions

Publications

Cancer Mortality in People Treated with Antidepressants before Cancer Diagnosis: A Population Based Cohort Study.

Similar Datasets

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