scholarly journals Secular and age distribution of scrotal cancer in connecticut and a review of United States literature

Cancer ◽  
1984 ◽  
Vol 54 (3) ◽  
pp. 596-601 ◽  
Author(s):  
George C. Roush ◽  
Maria J. Schymura ◽  
John T. Flannery
Author(s):  
EV Walker ◽  
F Davis ◽  

The Canadian Brain Tumour Registry (CBTR) project was established in 2016 with the aim of enhancing infrastructure for surveillance and clinical research to improve health outcomes for brain tumour patients in Canada. We present a national surveillance report on malignant primary brain and central nervous system (CNS) tumours diagnosed in the Canadian population from 2009-2013. Patients were identified through the Canadian Cancer Registry (CCR); an administrative dataset that includes cancer incidence data from all provinces/territories in Canada. Cancer diagnoses are coded using the ICD-O3 system. Tumour types were classified by site and histology using The Central Brain Tumour Registry of the United States definitions. Incidence rates (IR) and 95% confidence intervals (CI) were calculated per 100,000 person-years and standardized to the 2011 census population age-distribution. Overall, 12,115 malignant brain and CNS tumours were diagnosed in the Canadian population from 2009-2013 (IR:8.43;95%CI:8.28,8.58). Of these, 6,845 were diagnosed in males (IR:9.72;95%CI:9.49,9.95) and 5,270 in females (IR:7.20;95%CI:7.00,7.39). The most common histology overall was glioblastoma (IR:4.06;95%CI:3.95,4.16). Among those aged 0-19 years, 1,130 malignant brain and CNS tumours were diagnosed from 2009-2013 (IR:3.36;95%CI:3.16,3.56). Of these, 625 were diagnosed in males (IR:3.32;95%CI:3.34,3.92) and 505 in females (IR:3.08;95%CI:2.81,3.36). The most common histology among the paediatric population was pilocytic astrocytoma (IR:0.73;95%CI:0.64,0.83). The presentation will include: IRs for other histologies, the geographic distribution of cases and a comparison between Canada and the United States.


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S720-S720
Author(s):  
Amy M Beeson ◽  
Grace E Marx ◽  
Amy M Schwartz ◽  
Alison F Hinckley

Abstract Background Lyme disease (LD) is the most common vector-borne disease in the United States and is a significant public health problem. The use of non-standard antibiotic treatment regimens for LD has been associated with adverse effects; however, the overall landscape of treatment has not been described previously. We aimed to describe real-world antibiotic prescribing patterns for LD. Methods We performed a retrospective analysis of the MarketScan commercial claims database of outpatient encounters from 2016-2018 in the United States. We identified all individuals with a visit that included an LD diagnosis code and a prescription within 30 days of the visit for one or more of 12 antibiotics that may be prescribed for LD. We then categorized each individual as having received either standard or non-standard treatment during the two-year period. Standard treatment was defined as treatment with a first, second or third-line antibiotic for LD, for no longer than 30 days, and for no more than two episodes during the study period. Descriptive and multivariable analyses were performed to compare characteristics of people who received standard vs non-standard treatment for LD. Results A total of 84,769 prescriptions met criteria for inclusion, written for 45,926 unique patients. The mean duration of prescriptions was 21.4 days (SD 10.8). Most individuals (84.5%) treated for LD received standard treatment during the study period. Female gender (OR 1.5, p< 0.0001) and age 19-45 (p=0.0003) were significantly associated with being prescribed non-standard LD treatment. Treatment in low-incidence states (OR 2.2 compared to high-incidence states, p< 0.0001) and during non-summer months (OR 2.2, p< 0.0001) was more likely to be non-standard. Age distribution of patients receiving treatment for Lyme disease, by gender and age at first prescription Seasonality of standard versus non-standard treatment of Lyme disease Conclusion In this population of employed, young, and insured patients, young and middle-aged women were at the highest risk of receiving non-standard LD treatment. Treatments prescribed in states with low incidence of LD or during non-summer months were also more likely to be non-standard, a trend which likely reflects misdiagnosis or overtreatment of LD. Future studies are needed to further define prescriber and patient factors associated with non-standard LD treatment and related adverse outcomes. Disclosures All Authors: No reported disclosures


2021 ◽  
pp. 003335492110267
Author(s):  
Kiersten J. Kugeler ◽  
Paul S. Mead ◽  
Amy M. Schwartz ◽  
Alison F. Hinckley

Lyme disease is the most common vector-borne disease in the United States and is characterized by a bimodal age distribution and male predominance. We examined trends in reported cases during a 25-year period to describe changes in the populations most affected by Lyme disease in the United States. We examined demographic characteristics of people with confirmed cases of Lyme disease reported to the Centers for Disease Control and Prevention during 1992-2016 through the National Notifiable Diseases Surveillance System. We grouped cases into 5-year periods (1992-1996, 1997-2001, 2002-2006, 2007-2011, 2012-2016). We calculated the average annual incidence by age and sex and used incidence rate ratios (IRRs) to describe changes in Lyme disease incidence by age and sex over time. We converted patient age at time of illness into patient birth year to ascertain disease patterns according to birth cohorts. The incidence of Lyme disease in the United States doubled from 1992-1996 to 2012-2016 (IRR = 1.74; 95% CI, 1.70-1.78) and increased disproportionately among males; IRRs were 39%-89% higher among males than among females for most age groups. During the study period, children aged 5-9 years were most frequently and consistently affected. In contrast, the average age of adults with Lyme disease increased over time; of all adults, people born during 1950-1964 were the most affected by Lyme disease. Our findings suggest that age-related behaviors and susceptibilities may drive infections among children, and the shifting peak among adults likely reflects a probability proportional to the relative size of the baby boom population. These findings can inform targeted and efficient public health education and intervention efforts.


AIDS ◽  
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Keri N. Althoff ◽  
Cameron N. Stewart ◽  
Elizabeth Humes ◽  
Jinbing Zhang ◽  
Lucas Gerace ◽  
...  

Author(s):  
Jonathan J. Danaraj ◽  
Augustine S. Lee

Asthma is a common condition that affects an estimated 24 million children and adults in the United States (prevalence, 8%-10%). Globally, over 300 million people are affected and the number is expected to increase. The age distribution is bimodal, but in most patients, asthma is diagnosed before age 18 years (male to female ratio, 2:1 in children; 1:1 in adults). Susceptibility to asthma is multifactorial with both genetic and environmental factors. The strongest risk factor is atopy, a sensitivity to the development of immunoglobulin E (IgE) to specific allergens. A person with atopy is 3- to 4-fold more likely to have asthma than a person without atopy. Other risk factors include birth weight, prematurity, tobacco use (including secondary exposure), and obesity.


2019 ◽  
Vol 134 (6) ◽  
pp. 660-666 ◽  
Author(s):  
Christopher Wildeman ◽  
Alyssa W. Goldman ◽  
Emily A. Wang

Objectives: The number of adults in the United States being held on probation—persons convicted of crimes and serving their sentence in the community rather than in a correctional facility—approached 4 million at the end of 2016 and continues to grow, yet little is known about the health and well-being of this population. We compared the standardized mortality ratios of persons on probation in the United States with persons in jail, persons in state prison, and the general US population. Methods: We used administrative data from 2001-2012 from the Bureau of Justice Statistics and the Centers for Disease Control and Prevention WONDER database and indirect standardization techniques to compare the mortality rates of persons on probation in 15 states with the mortality rates of persons in jail, persons in state prison, and the general US population. We applied the age-specific mortality rates of 3 populations (general US population, persons in jail, and persons in state prison) to the age distribution of persons on probation to estimate standardized mortality ratios. Results: Persons on probation died at a rate 3.42 times higher than persons in jail, 2.81 times higher than persons in state prison, and 2.10 times higher than the general US population, after standardizing the age distribution of persons on probation relative to the other 3 groups. Conclusions: Public health interventions should target persons on probation, who have received less attention from the public health community than persons serving sentences in jails and prisons.


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