23 research outputs found

    Mo1011 Malnutrition and Cirrhosis

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    How Well the Government of Nepal Is Responding to COVID-19? An Experience From a Resource-Limited Country to Confront Unprecedented Pandemic

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    COVID-19, caused by SARS-CoV-2, was first reported in Wuhan, China and is now a pandemic affecting over 218 countries and territories around the world. Nepal has been severely affected by it, with an increasing number of confirmed cases and casualties in recent days, even after 8 months of the first case detected in China. As of 26 November 2020, there were over 227,600 confirmed cases of COVID in Nepal with 209,435 recovered cases and 1,412 deaths. This study aimed to compile public data available from the Ministry of Health and Population (MoHP), Government of Nepal (GoN) and analyse the data of 104 deceased COVID-19 patients using IBM SPSS (Version 25.0). Additionally, this study also aimed to provide critical insights on response of the GoN to COVID-19 and way forward to confront unprecedented pandemic. Figures and maps were created using the Origin Lab (Version 2018) and QGIS (Version 3.10.8). Most of the reported cases were from Bagmati Province, the location of Nepal's capital city, Kathmandu. Among deceased cases, >69% of the patients were male and patients ≥54 years accounted for 67.9% (n = 923). Preliminary findings showed respiratory illness, diabetes, and chronic kidney diseases were the most common comorbid conditions associated with COVID-19 deaths in Nepal. Despite some efforts in the 8 months since the first case was detected, the government's response so far has been insufficient. Since the government eased the lockdown in July 2020, Nepal is facing a flood of COVID-19 cases. If no aggressive actions are taken, the epidemic is likely to result in significant morbidity and mortality in Nepal. The best way to curb the effect of the ongoing pandemic in a resource-limited country like Nepal is to increase testing, tracing, and isolation capacity, and to set up quality quarantine centers throughout the nation. A comprehensive health literacy campaign, quality care of older adults and those with comorbidity will also result in the effective management of the ongoing pandemic

    Head and Neck Cancer Clinical Research on ClinicalTrials.gov: An Opportunity for Radiation Oncologists

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    Purpose: Many improvements in head and neck cancer (HNC) outcomes are related to optimization of radiation therapy (RT) dose, fractionation, normal-tissue sparing, and technology. However, prior work has shown that the literature of randomized controlled trials is dominated by industry-sponsored trials that have lower rates of incorporating RT. We characterized HNC clinical trials, hypothesizing that RT-specific research questions may be relatively underrepresented among HNC randomized controlled trials. Methods and Materials: A web query of all open interventional trials on www.ClinicalTrials.gov was performed using search terms “head and neck cancer” and specific HNC subsites. Trial details were captured including the modality used, principal investigator (PI) specialty, funding, and whether the study tested a RT-modality specific hypothesis. Chi-square testing and logistic regression were used to compare groups. Results: There were 841 open HNC trials, including definitive (47.6%) and recurrent/metastatic (41.9%) populations. Most trials (71.7%) were phase I or nonrandomized phase II studies, rather than phase III or randomized phase II (28.3%). Among single-arm studies, most (79.6%) incorporated systemic therapy (ST), and fewer (25.2%) incorporated RT. Even fewer phase III and randomized phase II trials tested an RT-specific hypothesis (11.1%), compared with ST-related hypotheses (77.1%; P < .001); trials were more likely to test an RT-hypothesis if the study PI was a radiation oncologist (20.9% vs 6.0%; P < .001). Among RT trials, most early-phase studies tested novel modalities (eg, stereotactic body radiation therapy, proton therapy), whereas most later-phase studies tested dose and fractionation. RT-focused trials had low rates of federal (10.4%) or industry (2.6%) funding. Conclusions: RT-specific research hypotheses are a minority of phase II-III HNC trials, which mostly focus on incorporating ST in the definitive or recurrent/metastatic setting and have higher rates of industry funding. Radiation oncologist PI leadership and increased nonindustry funding access may ensure that RT-specific hypotheses are incorporated into trial design
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