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E-cigarettes have been known to cause varied poor health outcomes prior to coronavirus disease 2019 (COVID-19), but after the impact of COVID-19, evidence came out that was, in some instances, not as expected regarding the severity of COVID-19 among e-cigarette users (vapers). A meta-analysis was performed on the available evidence to comprehensively find the effect of COVID-19 on existing or past e-cigarette users (vapers). The Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines were used to perform this meta-analysis. PubMed was searched for observational studies that described outcomes after COVID-19 positivity from December 1, 2019, to December 2023. Medical Subject Headings (MeSH) keywords were used for searching the relevant studies highlighting the relationship between COVID-19 and e-cigarette users. Calculations for pooled prevalence, 95% confidence interval (95% CI), weights for current e-cigarette users and vapers, and outcomes (events) were made. To analyze the data, Review Manager V.5.4 was used. The I² statistic was used to assess statistical heterogeneity. The I² statistic of >50% was considered significant heterogeneity. The "leave-one-out" method was used for sensitivity analysis. Out of 3231 studies, four studies reported data on vaping and non-vaping status and composite outcomes, resulting in a sample size of 653 COVID-19-positive cases. The pooled prevalence of being COVID-19 positive, having symptoms, or visiting an emergency room was 7.78% (653/8392). COVID-19 patients with current vaping status had decreased odds of poor outcomes compared to non-smokers, with a pooled odds ratio (OR) of 0.09 (95% CI 0.00-2.42; p>0.05) with heterogeneity between studies (I²=99%, p=0.15). Because of difficulties related to data collection and other factors, this meta-analysis was unable to conclusively establish the correlation between e-cigarette usage and severe COVID-19 outcomes such as hospitalization, admission to the intensive care unit, and fatality. Additional research using more detailed data is necessary to fully understand this correlation.
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Background The Indian state of Jharkhand has the highest rate of wasting (29%) among young children. Mobile audio call follow-up can be used to assess such children with severe acute malnutrition (SAM). Aim This study evaluated SAM children during the COVID-19 outbreak and learn more about the status of their home/community care, and caregivers' awareness of integrated child development services (ICDS) and COVID-19 prevention. Methods Contact numbers of caregivers for discharged children were obtained from 54 malnutrition treatment centers (MTCs). In April and June 2020, mentors conducted follow-up interviews using mobile phone calls. Results Seven children (1.72%) were reported dead and 400 were alive, mostly girls (59.5%). Only a few caregivers observed post-discharge ailments (15.4%) and weight loss (7.7%) in their children. Children aged six to 24 months were characterized by continued breastfeeding (88.0%) at most five to six times a day (45.8%). Most of the children were not fed as per maternal infant and young child feeding protocols. Age in months with an adjusted odds ratio (OR) of 0.55 (1.00-1.11) as a 95% confidence interval (CI), age category, with an adjusted OR of 4.32 (1.71- 10.94) as 95% CI, and breastfeeding with adjusted OR 1.85 (1.07- 3.21) as 95% CI were three major predictors for a well-fed child. Conclusion Community involvement is crucial in the follow-up of children with SAM for effective rehabilitation. Mobile phone audio call follow-up is a relatively cost-effective approach to tackle geographic barriers and COVID-19 lockdown-induced situations. There are major gaps mainly in informing caregivers on how to manage COVID-19 with breastfeeding.
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BACKGROUND: The government of India is committed to eliminating tuberculosis (TB) by 2025 under the National Tuberculosis Elimination Programme which provides free investigations and treatment as well as incentives for nutritional support during their treatment course. Many TB patients prefer to seek treatment from the private sector which sometimes leads to financial constraints for the patients. Our study aims to find the burden of TB patients in the private sector and the expenses borne by them for their treatment. METHODOLOGY: Sales data of rifampicin-containing formulation drug consumption in the private sector of six districts of Jharkhand was collected from Clearing and Forwarding agencies. Based on the drug sales data, the total incurring costs of the drugs, total number of patients, and cost per patient seeking treatment from the private sector were calculated for the year 2015-2021. ANOVA and the post hoc test (Tukey honestly significant difference (HSD)) were applied for analysis. RESULTS: There was a marked difference amongst all the districts in relation to all the variables namely total costs, cost per patient, and total private patients seeking treatment from the private sector which was statistically significant (p < 0.001). East Singhbhum had the highest out-of-pocket expense and private patients as compared to all six districts. Lohardaga showed the sharpest decline in total private patients from 2015 to 2021. The average cost borne by private patients in 2015 was INR 1821 (95% CI 1086 - 2556) which decreased to INR 1033 (95% CI 507 - 1559) in 2021. CONCLUSION: From the study, it was concluded that the purchase of medicines for TB treatment from the private sector is one of the essential elements in out-of-pocket expenditure (OOPE) borne by TB patients. Hence, newer initiatives should be explored to foresee the future OOPE borne by the patients and decrease OOPE-induced poverty.
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Background: The objective of this study was to assess the impact of fortified milk on various aspects of growth and development among school children in a tribal-predominant district of Jharkhand, India. Materials and Methods: A longitudinal study was planned in 16 schools (eight in intervention group and eight in control group) of Latehar district of Jharkhand in India. Out of the total 962 study participants, only 528 study participants were considered in study analysis, who were present both during baseline and endline study after 1 year of milk introduction. The study participants were assessed for nutrition, intelligence quotient, and hemoglobin levels with the help of study tools and instruments. Results: The decrease in malnutrition was more evident in the intervention group during endline assessment, with 95% confidence interval (95% CI; 7.37, 7.42) and 95% CI (10.63, 10.58) for the difference in proportion in the intervention and control groups for stunting and thinness, respectively. This was statistically significant (P < 0.05). Anemia also improved with better cognition in the intervention group, and the difference was statistically significant (P < 0.05). Conclusion: In our study, beneficial effects of milk on malnourished children were evident, particularly in combating stunting and thinness, and it also had a positive impact on cognitive skills in school children.
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Gastric cancer (GC) is one of the most common malignancies throughout the world with late diagnosis and poor prognosis. The expression of programmed death-ligand 1 (PD-L1) in GC is attributed to immune evasion and tumor progression. PD-L1 positivity has both predictive and prognostic biomarker potential. Aiming to summarize a large amount of research and to provide a definitive conclusion to the conflicting results on the prognostic significance of PD-L1 expression in GC, we performed an umbrella review based on existing meta-analyses which were published recently (2016-2021) and indexed in the PubMed database. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was used in August 2021 to screen articles, and data extraction with quality assessment was performed on the selected meta-analyses. Review Manager (RevMan) 5.3 software was used to analyze the HR and OR with a 95% confidence interval (CI) among PD-L1 positive GC patients. We also assessed the between-study heterogeneity (I 2). Forest and Funnel plots were obtained, and a P-value of <0.05 was considered statistically significant. A total of 567 articles were screened, and we selected three meta-analyses with a total of 40 studies conducted over a period of 14 years. In our umbrella review, a total of 8,419 GC patients with an average PD-L1 positivity of 39% were analyzed. We found that PD-L1 positivity in GC patients is associated with poor prognosis (pooled HR =1.44, 95% CI: 1.24-1.68, P<0.00001) having higher mortality reducing the chances of overall survival (OS). However, there are no significant differences in PD-L1 expression among different lymph node (LN) metastases (OR=1.31, 95% CI: 0.98-1.74, P=0.07) and tumor, node, and metastasis (TNM) stages (OR=1.13, 95% CI: 0.80-1.58, P=0.50). Early identification of PD-L1 expression may help tailor cost-effective and targeted immunotherapy among GC patients. More research is needed to further understand how PD-L1 affects LN metastasis and tumor invasion.