Background: Non-alcoholic fatty liver disease (NAFLD) contributes to a large proportion of liver disease burden in the world. Several groups have studied the prevalence of NAFLD in the Indian population.
Aim: A systematic review of the published literature and meta-analysis was carried out to estimate the prevalence of NAFLD in the Indian population.
Methods: English language literature published until April 2021 was searched from electronic databases. Original data published in any form which had reported NAFLD prevalence in the Indian population were included. The subgroup analysis of prevalence was done based on the age (adults or children) and risk category, i.e., average-risk group (community population, participants of control arm, unselected participants, hypothyroidic individuals, athletes, aviation crew, and army personnel) and high-risk group (obesity or overweight, diabetes mellitus, coronary artery disease, etc.). The prevalence estimates were pooled using the random-effects model. Heterogeneity was assessed with I.
Results: Sixty-two datasets (children 8 and adults 54) from 50 studies were included. The pooled prevalence of NAFLD was estimated from 2903 children and 23,581 adult participants. Among adults, the estimated pooled prevalence was 38.6% (95% CI 32-45.5). The NAFLD prevalence in average-risk and high-risk subgroups was estimated to be 28.1% (95% CI 20.8-36) and 52.8% (95% CI 46.5-59.1), respectively. The estimated NAFLD prevalence was higher in hospital-based data (40.8% [95% CI 32.6-49.3%]) than community-based data (28.2% [95% CI 16.9-41%]). Among children, the estimated pooled prevalence was 35.4% (95% CI 18.2-54.7). The prevalence among non-obese and obese children was 12.4 (95% CI 4.4-23.5) and 63.4 (95% CI 59.4-67.3), respectively.
Conclusion: Available data suggest that approximately one in three adults or children have NAFLD in India.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168741 | PMC |
http://dx.doi.org/10.1016/j.jceh.2021.11.010 | DOI Listing |
Alzheimers Dement
December 2024
University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA.
Background: Pharmacoepidemiologic studies assessing drug effectiveness for Alzheimer's disease and related dementias (ADRD) are increasingly popular given the critical need for effective therapies for ADRD. To meet the urgent need for robust dementia ascertainment from real-world data, we aimed to develop a novel algorithm for identifying incident and prevalent dementia in claims.
Method: We developed algorithm candidates by different timing/frequency of dementia diagnosis/treatment to identify dementia from inpatient/outpatient/prescription claims for 6,515 and 3,997 participants from Visits 5 (2011-2013; mean age 75.
Alzheimers Dement
December 2024
University of Kentucky Sanders-Brown Center on Aging, Lexington, KY, USA.
Background: The presence of multiple comorbid pathologic features in late-onset dementia has been well documented across cohort studies that incorporate autopsy evaluation. It is likely that such mixed pathology potentially confounds the results of interventional trials that are designed to target a solitary pathophysiologic mechanism in Alzheimer's disease and related dementias (ADRD).
Method: The UK ADRC autopsy database was screened for participants who had previously engaged in therapeutic interventional trials for Alzheimer's disease, vascular cognitive impairment, dementia, and/or ADRD prevention trials from 2005 to the present.
Background: There is an urgent need for new therapeutic and diagnostic targets for Alzheimer's disease (AD). Dementia afflicts roughly 55 million individuals worldwide, and the prevalence is increasing with longer lifespans and the absence of preventive therapies. Given the demonstrated heterogeneity of Alzheimer's disease in biological and genetic components, it is critical to identify new therapeutic approaches.
View Article and Find Full Text PDFBackground: Our previous study identified that Sildenafil (a phosphodiesterase type 5 [PDE5] inhibitor) is a candidate repurposable drug for Alzheimer's Disease (AD) using in silico network medicine approach. However, the clinically meaningful size and mechanism-of-actions of sildenafil in potential prevention and treatment of AD remind unknown.
Method: We conducted new patient data analyses using both the MarketScan® Medicare with Supplemental database (n = 7.
Background: Clinical trial sponsors rely on research sites to identify and enroll appropriate study participants and to correctly and reliably assess symptom severity and function over the course of the trial. Low-recruiting sites represent a large financial and operational burden and may negatively impact trial success either by selecting inappropriate participants and/or high prevalence of data quality issues. We previously reported that >60% of sites in schizophrenia clinical trials recruited ≤5 participants.
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