Analysis Of Diabetes Mellitus Research Articles

Retraction Note to: Application of back propagation artificial neural network in detection and analysis of diabetes mellitus

Retraction Note to: Application of back propagation artificial neural network in detection and analysis of diabetes mellitus

Analysis of Diabetes Mellitus and Environmental Tobacco Smoke (ETS) Exposure as Lung Tuberculosis Risk Factors

Indonesia, is the country with the second highest lung TB case in the world. Some studies suggest there is a relationship between TB and diabetes. The smoking habit is also linked because it can damage the lung defense mechanism thereby facilitating the entry of TB germs. This research was conducted to analyze diabetes mellitus and exposure to environmental tobacco smoke (ETS) as risk factors for pulmonary tuberculosis. This research is a quantitative analytic study with Case Control conducted in the TB Endemic Region in Palembang, namely the work area of ​​the Kertapati Health Center, Sei Selincah Health Center and 23 ilir Health Center in February to December 2018. Data were obtained from primary data obtained from questionnaires and examinations physical. The data obtained are presented in the form of a master tabulation and processed using the Chi-square test and T-test analysis. In this study showed no significant relationship between blood sugar levels when with tuberculosis status (p = 0.075).

RETRACTED ARTICLE: Application of back propagation artificial neural network in detection and analysis of diabetes mellitus

Diabetes Mellitus affects adults and children, causing changes in lifestyle. The diabetic affected person count has increased drastically worldwide over the last few years; about 425 million people have diabetes. By 2030, it is predicted that diabetic disorder will be the seventh leading cause of human death. Diabetes mellitus is measured invasively. This method has limitations such as patient’s preparation, piercing of the skin, which causes infection and needs for skilled technicians. In order to avoid the limitations of invasive methods, vibrations from the pancreas are acquired using a smartphone accelerometer sensor and detecting the value of diabetes. The human body has a unique energy signature for every organ, which leads to vibrations with different frequencies. The frequency of the vibration signal from the pancreas is proportional to insulin secretion and dynamics. The signals obtained from the accelerometer sensor are trained and analyzed with the Levenberg–Marquardt algorithm for obtaining the relation between the excess insulin secretion and clinical value of the diabetic level of the person. The accelerometer signals and clinical values are modeled with Regression analysis for the diabetic and non-diabetic persons. The results show the correlation between the fluid dynamics of insulin and clinical value at about 95% in prediction.

Diabetes mellitus and the risk of pancreatitis: A systematic review and meta-analysis of cohort studies

BackgroundDiabetes mellitus has been associated with increased risk of pancreatitis in several studies, however, not all studies have found an association. We conducted a systematic review and meta-analysis of prospective studies on diabetes mellitus and pancreatitis to clarify the association. MethodsPubMed and Embase databases were searched for studies on diabetes mellitus and pancreatitis up to 8th of January 2020. Cohort studies that reported adjusted relative risk (RR) estimates and 95% confidence intervals (CIs) for the association between diabetes diagnosis and pancreatitis were included and summary RRs (95% CIs) were calculated using a random effects model. ResultsEight cohort studies were included in the meta-analysis, and seven of these were included in the analysis of diabetes mellitus and acute pancreatitis (14124 cases, 5.7 million participants). Comparing diabetes patients with persons without diabetes the summary RRs (95% CIs) were 1.74 (95% CI: 1.33–2.29, I2 = 95%) for acute pancreatitis, 1.40 (95% CI: 0.88–2.22, I2 = 0%, n = 2) for chronic pancreatitis, and 1.39 (95% CI: 1.07–1.80, I2 = 54%, n = 3) for pancreatitis overall. Although there was some indication of publication bias in the analysis of acute pancreatitis this appeared to be explained by one outlying study which when excluded did not substantially alter the association. The results persisted in several subgroup and sensitivity analyses. ConclusionsThese results suggest that diabetes patients are at an increased risk of acute pancreatitis. Further studies are needed on diabetes and risk of chronic pancreatitis, pancreatitis overall and on gallstone-related and non-gallstone-related pancreatitis.

Analysis of diabetes mellitus and environmental tobacco exposure of smoke (ETS) as a lung's tuberculosis risk factor

Indonesia is the country with the second highest pulmonary TB case in the world. Some studies suggest there is a relationship between TB and diabetes. Smoking habits are also associated because it can damage the defense mechanism of the lungs so as to facilitate the entry of TB germs. This study was conducted to analyze diabetes mellitus and environmental exposure to tobacco smoke ( ETS) as a risk factor for pulmonary tuberculosis. Thisresearch is a quantitative analytical research with Case-Control performed in TB endemic region in Palembang namely Puskesmas Kertapati, health centers and health centers Sei Selincah 23 Ilir February to May 2018. Data were obtained from primary data obtained from questionnaires and examinations physic-cal. The statistical test used is the Chi-square test and Independent T-test. In this study showed a significant relationshipbetween bloodsugar levels with tuberculosis status (p = 0.000 ).And there is a significant relationship between ETS with tuberculosis status.

New‐Onset Treatment‐Dependent Diabetes Mellitus and Hyperlipidemia Associated with Atypical Antipsychotic Use in Older Adults without Schizophrenia or Bipolar Disorder

To examine the association between atypical antipsychotic medications and incident treatment for diabetes mellitus or hyperlipidemia in elderly adults without diagnoses of schizophrenia or bipolar disorder. Two case-control studies using medical and pharmacy claims data. United States managed care population from multiple insurance plans. Individuals aged 65 and older enrolled in a Medicare Advantage or commercial (health maintenance organization) managed care health plan in the western United States with no claims indicating diagnosis of schizophrenia or bipolar disorder in the 1 year pre-index period. Cases were defined as persons newly initiated on an antidiabetic (n = 13,075) or antihyperlipidemic (n = 63,829) medication on the index date. For the new diabetes mellitus analysis, 65,375 controls were matched to cases based on age, sex, health-plan type, and index date year. In the new hyperlipidemia analysis, 63,829 controls were matched to cases based on the same variables. Conditional logistic regressions were performed to determine the odds of initiated antidiabetic or antihyperlipidemic medication for participants exposed to atypical antipsychotics compared with those with no exposure. The models included comorbidities possibly associated with the outcome. Exposure to atypical antipsychotics was associated with significantly greater adjusted odds of starting an antidiabetic medication (1.32, 95% confidence interval (CI) = 1.10-1.59) but significantly lower odds of starting an antihyperlipidemic medication (0.76, 95% CI = 0.67-0.87). Use of atypical antipsychotics in older adults for conditions other than schizophrenia and bipolar disorder was associated with incident treatment of diabetes mellitus but not of hyperlipidemia, suggesting that older adults may be susceptible to the adverse metabolic consequences of these agents.

Clinical analysis of diabetes mellitus in patients with autoimmune-related pancreatitis

Clinical analysis of diabetes mellitus in patients with autoimmune-related pancreatitis

Clinical analysis of diabetes mellitus in patients with autoimmune-related pancreatitis

Clinical analysis of diabetes mellitus in patients with autoimmune-related pancreatitis