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1.
Malays J Med Sci ; 20(4): 39-46, 2013 Jul.
Article in English | MEDLINE | ID: mdl-24043995

ABSTRACT

OBJECTIVES: Diabetes mellitus is associated with a greater likelihood of developing certain oral mucosal disorders. This study was aimed at assessing the prevalence of oral mucosal lesions (OMLs) in patients with type 2 diabetes (DM2) and to investigate the association of such lesions with metabolic control of the disease. METHODS: This cross-sectional study involved 391 patients with DM2 and 391 non-diabetic control subjects. Demographic information and data on the duration and type of diabetes, glycosylated hemoglobin (HbA1c) values, medical history, and current use of medication were obtained from medical records. Detailed oral examination was performed in accordance with international criteria. RESULTS: The prevalence of OMLs was significantly higher among diabetic patients (45.5%) than among control subjects (38.4%) (P = 0.042). Patients with diabetes had a higher prevalence of geographic tongue (GT) (P = 0.017), denture stomatitis (P = 0.018), and angular cheilitis (P = 0.006) than controls. Overall, diabetic patients with poor metabolic control had a significantly higher prevalence of OMLs and xerostomia than patients with moderately and well-controlled disease (P < 0.05). CONCLUSION: The prevalence of OMLs was significantly higher in diabetic patients than in control subjects. Higher occurrence of OMLs was significantly associated with poor metabolic control.

2.
JAMA Oncol ; 8(3): 420-444, 2022 Mar 01.
Article in English | MEDLINE | ID: mdl-34967848

ABSTRACT

IMPORTANCE: The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden. OBJECTIVE: To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019. EVIDENCE REVIEW: The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs). FINDINGS: In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low and low-middle SDI quintiles. CONCLUSIONS AND RELEVANCE: The results of this systematic analysis suggest that the global burden of cancer is substantial and growing, with burden differing by SDI. These results provide comprehensive and comparable estimates that can potentially inform efforts toward equitable cancer control around the world.


Subject(s)
Global Burden of Disease , Neoplasms , Disability-Adjusted Life Years , Global Health , Humans , Incidence , Neoplasms/epidemiology , Prevalence , Quality-Adjusted Life Years , Risk Factors
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