Annals of cancer epidemiology最新文献

{"title":"Spatial methods and applications for cancer epidemiology","authors":"P. Baade, S. Cramb","doi":"10.21037/ace-2022-1","DOIUrl":"https://doi.org/10.21037/ace-2022-1","url":null,"abstract":"","PeriodicalId":92868,"journal":{"name":"Annals of cancer epidemiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48382555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial analysis of stomach and liver cancers in California","authors":"Georgiana Fisher, Yuqi Shen","doi":"10.21037/ace-19-21","DOIUrl":"https://doi.org/10.21037/ace-19-21","url":null,"abstract":"Cancer is the second leading cause of death, not only in the United States but also worldwide (1,2). Globally, stomach and liver cancers are listed in the most common causes of cancer death (2). In the United States, 35% of the patients who are diagnosed will die from the disease (3). According to the estimates by National Institutes of Health (NIH), in the year 2018, the incidence (the number of new cases) of stomach and liver cancers exceeded 26,000 and 42,000, respectively, while more than 10,000 and 30,000 patients died from stomach and liver cancers, respectively. Original Article","PeriodicalId":92868,"journal":{"name":"Annals of cancer epidemiology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42837007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geospatial analysis of multiple cancers in individuals in the US, 2004-2014.","authors":"Lia C Scott, Tzy-Mey Kuo, Dora Il'yasova, Lee R Mobley","doi":"10.21037/ace-19-40","DOIUrl":"10.21037/ace-19-40","url":null,"abstract":"<p><strong>Background: </strong>There is a projected rapid increase in cancer survivors in the US population, from 15.5 million in 2016 to 26.1 million by 2040. Improvements in treatment and detection have led to increased survival, however, there is now a risk of developing new cancers as a result of environment toxins, behavioral risk factors, genetic predisposition, and late-term effects of radiation and chemotherapeutic treatments. This study takes a geospatial approach to examining the place of occurrence of multiple cancers originating in the population of four screenable cancers-female breast, colorectal, prostate, and cervical cancers-among the US population.</p><p><strong>Methods: </strong>During 2004-2014, 6,523,532 primary cancer patients with one of these four screenable cancers were examined, and subsequent primary cancers (multiple cancers of any type) were noted. Individual level analyses estimated the odds of diagnosis with multiple cancers controlling for age, sex, and race-ethnicity. Change in effects on odds of multiple cancer diagnoses with age, sex, and race-ethnicity were evaluated controlling separately for late-stage diagnosis of the primary cancer or each primary cancer diagnosis type. County-level spatial cluster analysis was employed to identify and visualize higher than average multiple cancer rates.</p><p><strong>Results: </strong>Over half of the study population were female and almost 30% of the study population were diagnosed at late-stage for their first cancer. Multiple occurrences of all cancers increased during the time period for patients with initial breast or colorectal cancers. Among BC primary cancer cases, subsequent multiple cancers were mostly new breast cancers. By contrast, for CRC primary cancer cases, subsequent multiple cancers were about equally likely to be new CRC cases or other cancer types. Sex, age and race-ethnicity were all significantly associated with multiple cancers. In the model controlling for CRC as the primary type, the age and race-ethnicity effects were somewhat different than for all the other models. Thus, there was something distinctly different about the multiple cancer incidence among patients with CRC as their primary cancer as compared to patients with BC, CVC, or PC primaries. In subsequent analyses by county, there were distinct geospatial patterns in multiple cancer rates with most high-rate clusters occurring in the north- and mid-west US.</p><p><strong>Conclusions: </strong>There were distinct individual level and geospatial disparities in multiple cancer diagnoses for the study population of all primary breast, colorectal, cervical, or prostate cancer patients during the decade studied. It is importance to emphasize continued screening for cancer survivors and research on personal and environmental drivers of multiple primary cancers.</p>","PeriodicalId":92868,"journal":{"name":"Annals of cancer epidemiology","volume":"5 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/ec/6b/nihms-1690153.PMC8055046.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38814879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lung cancer statistics in the United States: a reflection on the impact of cancer control","authors":"Jianrong Zhang, P. Basu, J. Emery, M. IJzerman, F. Bray","doi":"10.21037/ace-21-5","DOIUrl":"https://doi.org/10.21037/ace-21-5","url":null,"abstract":"","PeriodicalId":92868,"journal":{"name":"Annals of cancer epidemiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49176582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The prevalence of malignant melanoma in adults with mastocytosis and adnexal skin tumours: a case-control study","authors":"M. Hermans, P. V. van Daele, J. Damman, M. V. van Doorn, S. Pasmans","doi":"10.21037/ace-21-10","DOIUrl":"https://doi.org/10.21037/ace-21-10","url":null,"abstract":"","PeriodicalId":92868,"journal":{"name":"Annals of cancer epidemiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45868731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A balancing act: racial disparities in cardiovascular disease mortality among women diagnosed with breast cancer.","authors":"Lindsay J Collin,&nbsp;Alyssa N Troeschel,&nbsp;Yuan Liu,&nbsp;Keerthi Gogineni,&nbsp;Kylee Borger,&nbsp;Kevin C Ward,&nbsp;Lauren E McCullough","doi":"10.21037/ace.2020.01.02","DOIUrl":"https://doi.org/10.21037/ace.2020.01.02","url":null,"abstract":"<p><strong>Background: </strong>The cardiotoxic effects of breast cancer therapies are well documented in clinical trials. However, clinical trials often underrepresent those at highest risk for cardiovascular disease (CVD)related outcomes and have limited generalizability to the larger breast cancer population. In addition, racial differences in treatment-associated CVD mortality have yet to be explored. In this study, we sought to quantify the relationship between breast cancer therapies and CVD mortality, and explore whether this effect differed between non-Hispanic black (NHB) and white (NHW) women.</p><p><strong>Methods: </strong>Using data from the Georgia Cancer Registry, we identified women diagnosed with a first primary invasive breast cancer [2010-2014], residing in the metropolitan Atlanta area (n=3,580 NHB; n=4,923 NHW), and followed them for mortality through December 31, 2018. Exposures of interest included therapies with potential cardiotoxic effects including chemotherapy and hormone therapy, which are routinely collected by the GCR. Individual agents are not captured within the GCR, therefore trastuzumab was identified using natural language processing of textual descriptions. We used propensity score weighted Cox proportional hazards regression to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between each treatment modality and CVD mortality among the overall cohort and by race.</p><p><strong>Results: </strong>In the overall cohort, similar hazards of CVD mortality were found among women treated with chemotherapy (HR =1.10, 95% CI: 0.62, 1.96) and hormone therapy (HR =0.94, 95% CI: 0.59, 1.50), compared to women who did not receive the respective treatments. In contrast, women treated with trastuzumab had a higher hazard of CVD mortality compared to women not treated with trastuzumab (HR =2.05, 95% CI: 0.76, 5.52). In race-specific models, hormone therapy was associated with a higher hazard of CVD mortality among NHB women (HR =2.18, 95% CI: 0.78, 6.12), but not NHW women (HR =0.66, 95% CI: 0.39, 1.13). Similar, albeit attenuated, associations were found for chemotherapy. We were unable to investigate race-specific effects of trastuzumab due to low prevalence and insufficient number of events.</p><p><strong>Conclusions: </strong>In our study, we observed more pronounced associations of chemotherapy and hormone therapy with CVD mortality among NHB women, for whom we know have greater CVD-related comorbidities at breast cancer diagnosis. Patients may benefit from treatment plans that find a balance between curative breast cancer treatment and prevention of CVD-related events and mortality. CVD-related outcomes may be most relevant for women with hormone receptor positive disease due to shared risk factors (e.g., obesity, tobacco use, physical activity) and longer survival.</p>","PeriodicalId":92868,"journal":{"name":"Annals of cancer epidemiology","volume":"4 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.21037/ace.2020.01.02","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38500946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial modeling for correlated cancers using bivariate directed graphs","authors":"Leiwen Gao, Sudipto Banerjee, A. Datta","doi":"10.21037/ACE-19-41","DOIUrl":"https://doi.org/10.21037/ACE-19-41","url":null,"abstract":"Disease maps are an important tool in cancer epidemiology used for the analysis of geographical variations in disease rates and the investigation of environmental risk factors underlying spatial patterns. Cancer maps help epidemiologists highlight geographic areas with high and low prevalence, incidence, or mortality rates of cancers, and the variability of such rates over a spatial domain. When more than one cancer is of interest, the models must also capture the inherent or endemic association between the diseases in addition to the spatial association. This article develops interpretable and easily implementable spatial autocorrelation models for two or more cancers. The article builds upon recent developments in univariate disease mapping that have shown the use of mathematical structures such as directed acyclic graphs to capture spatial association for a single cancer, estimating inherent or endemic association for two cancers in addition to the association over space (clustering) for each of the cancers. The method builds a Bayesian hierarchical model where the spatial effects are introduced as latent random effects for each cancer. We analyze the relationship between incidence rates of esophagus and lung cancer extracted from the Surveillance, Epidemiology, and End Results (SEER) Program. Our analysis shows statistically significant association between the county-wise incidence rates of lung and esophagus cancer across California. The bivariate directed acyclic graphical model performs better than competing bivariate spatial models in the existing literature.","PeriodicalId":92868,"journal":{"name":"Annals of cancer epidemiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46379053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of the CARE guideline as reporting standard in the Annals of Cancer Epidemiology","authors":"","doi":"10.21037/ace.2019.10.01","DOIUrl":"https://doi.org/10.21037/ace.2019.10.01","url":null,"abstract":"","PeriodicalId":92868,"journal":{"name":"Annals of cancer epidemiology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42533008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sociodemographic disparities in access to ovarian cancer treatment.","authors":"Shannon Graham, Elaine Hallisey, Grete Wilt, Barry Flanagan, Juan L Rodriguez, Lucy Peipins","doi":"10.21037/ace.2019.10.02","DOIUrl":"10.21037/ace.2019.10.02","url":null,"abstract":"<p><strong>Background: </strong>Ovarian cancer is the fifth most common cause of cancer death among women in the United States. Failure to receive optimal treatment and poorer survival rates have been reported for older women, African-American women, women with low income, and women with public health insurance coverage or no coverage. Additionally, regional differences in geographic access influence the type of treatment women may seek. This paper explores geographic accessibility and sociodemographic vulnerability in Georgia, which influence receipt of optimal ovarian cancer treatment.</p><p><strong>Methods: </strong>An enhanced two-step floating catchment area (E2SFCA), defining physical access, was created for each census tract and gynecologic oncologist clinic. Secondly, sociodemographic variables reflecting potential social vulnerability were selected from U.S. Census and American Community Survey data at the tract level. These two measures were combined to create a measure of Geosocial Vulnerability. This framework was tested using Georgia ovarian cancer mortality records.</p><p><strong>Results: </strong>Geospatial access was higher in urban areas with less accessibility in suburban and rural areas. Sociodemographic vulnerability varied geospatially, with higher vulnerability in urban citers and rural areas. Sociodemographic measures were combined with geospatial access to create a Geosocial Vulnerability Indicator, which showed a significant positive association with ovarian cancer mortality.</p><p><strong>Conclusions: </strong>Spatial and sociodemographic measures pinpointed areas of healthcare access vulnerability not revealed by either spatial analysis or sociodemographic assessment alone. Whereas lower healthcare accessibility in rural areas has been well described, our analysis shows considerable heterogeneity in access to care in urban areas where the disadvantaged census tracts can be easily identified.</p>","PeriodicalId":92868,"journal":{"name":"Annals of cancer epidemiology","volume":"3 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7008774/pdf/nihms-1064965.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37631637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring the potential impact of physical inactivity on worldwide epidemiology of colorectal and breast cancers","authors":"C. Mattiuzzi, F. Sanchis-Gomar, G. Lippi","doi":"10.21037/ace.2019.09.01","DOIUrl":"https://doi.org/10.21037/ace.2019.09.01","url":null,"abstract":"Background: Solid evidence has been published in support of a strong association between physical inactivity and enhanced risk of colorectal and breast cancers. This article aims to objectively assess the worldwide epidemiology of physical inactivity-related burden of colorectal and breast cancers. \u0000 Methods: An electronic search was performed in the Global Health Data Exchange (GHDx) registry, a large database of health-related data, using the keywords “low physical activity” in the category “risk”, combined with “colon and rectum cancer” AND “breast cancer” in the category “cause”. The output of the electronic search was downloaded in comma-separated values (CSV), imported into an Excel file and analyzed. \u0000 Results: The contribution of physical inactivity on the current burden of disability-adjusted life years (DALYs) and mortality is estimated at 3.44% and 3.64% for colorectal cancer, and at 1.43% and 1.54% for breast cancer, respectively. The impact of physical inactivity on the epidemiologic burden of colorectal cancer is constantly higher in women than in men, whilst it also increases in parallel with the socio-demographic index (SDI) in both types of cancer. The effect of physical inactivity on DALYs and deaths caused by these two malignancies remains substantially stable up to the age of 50 years, but then linearly increases, peaking in the elderly. In multivariable analysis, physical inactivity-related DALYs and deaths for colorectal cancer were independently associated with female sex, older age and higher SDI. Physical inactivity-related DALYs and deaths for breast cancer were also independently predicted by older age and higher SDI. \u0000 Conclusions: The contribution of physical inactivity to the current burden of colorectal and breast cancer seems higher in the elderly, in people living in middle-to-high SDI countries, and in the female sex as regards colorectal cancer.","PeriodicalId":92868,"journal":{"name":"Annals of cancer epidemiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.21037/ace.2019.09.01","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44632149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}