ABSTRACT
AIM: To design a protocol based on the experiences of long-term survivors to facilitate resilience for oesophageal cancer patients in rural China. BACKGROUND: According to the latest Global Cancer Statistics Report, 604,000 new cases of oesophageal cancer were reported, of which over 60% of the disease burden is distributed in China. The incidence of oesophageal cancer in rural China (15.95/100,000) is twice as high as those in urban areas (7.59/100,000). To be sure, resilience can help patients better adapt to post-cancer life. But universal interventions involving improving the resilience of oesophageal cancer patients have much less been explored, especially for rural patients. METHODS: The two-arm, parallel design, non-blinded, randomised controlled trial will be implemented in 86 adults diagnosed with oesophageal cancer and will be randomly assigned to the control group or the intervention group via the blocked randomisation. The intervention group will undergo an intervention with one-on-one guidance from a nurse while viewing a CD of the experiences of long-term survivors with oesophageal cancer in rural areas. Every 2 weeks, a theme session will be introduced, and the entire intervention will continue for 12 weeks. Psychosocial variables (resilience, self-efficacy, coping mode and family support) will be surveyed at baseline, post-intervention and 3 months after the intervention. The paper complies with the Standard Protocol Items: Recommendations for Intervention Trials 2013 and Consolidated Standards of Reporting Trials guidelines for study protocols adapted for designing and reporting parallel group randomised trials. CONCLUSION: The intervention programme transitions from hospitalisation to discharge, which includes one-on-one interventions by medical personnel and a portable CD describing the experiences of long-term survivors with rural oesophageal cancer. Once the intervention's effectiveness is proven, this protocol will provide psychological support for massive oesophageal cancer patients. RELEVANCE TO CLINICAL PRACTICE: The intervention programme may be used as an auxiliary therapy to promote patients' postoperative psychological rehabilitation. This programme has the advantages of being cost-effective, flexible, accessible, and convenient and can be implemented without the limitation of time, place and clinical medical staff. TRIAL REGISTRATION: The Chinese Clinical Trial Registration number is ChiCTR2100050047. Registered on 16 August 2021.
Subject(s)
COVID-19 , Esophageal Neoplasms , Adult , Humans , SARS-CoV-2 , Survivors , Cost of Illness , Treatment Outcome , Randomized Controlled Trials as TopicABSTRACT
It is of great significance to correctly infer the underlying cause of death for citizens, especially under the current worldwide situation. The medical resources of all countries are overwhelmed under the impact of coronavirus disease 2019 (COVID-19) and countries need to allocate limited resources to the most suitable place. Traditionally, the cause-of-death inference relies on manual methods, which require a large resource cost and are not so efficient. To address the challenges, in this work, we present a mixed inference method named Sink-CF. The Sink-CF algorithm is based on confidence measurement and is used to automatically infer the underlying cause of death of citizens. The method proposed in this paper combines a mathematical statistics method and a collaborative filtering and analysis algorithm in machine learning. Thus, our method can not only effectively achieve a certain accuracy, but also does not rely on a large quantity of manually labeled data to continuously optimize the model, which can save computer computing power and time, and has the characteristics of being simple, easy and efficient. The experimental results show that our method generates a reasonable precision (93.82%) and recall (90.11%) and outperforms other state-of-the-art machine learning algorithms.
ABSTRACT
The deadly pandemic named COVID-19, caused by a new coronavirus (SARS-CoV-2), emerged in 2019 and is still spreading globally at a dangerous pace. As of today, there are no proven vaccines, therapies, or even strategies to fight off this virus. Here, we describe the in silico docking results of a novel broad range anti-infective fusion protein RTAM-PAP1 against the various key proteins of SARS-CoV-2 using the latest protein-ligand docking software. RTAM-PAP1 was compared against the SARS-CoV-2 B38 antibody, ricin A chain, a pokeweed antiviral protein from leaves, and the lectin griffithsin using the special CoDockPP COVID-19 version. These experiments revealed novel binding mechanisms of RTAM-PAP1 with a high affinity to numerous SARS-CoV-2 key proteins. RTAM-PAP1 was further characterized in a preliminary toxicity study in mice and was found to be a potential therapeutic candidate. These findings might lead to the discovery of novel SARS-CoV-2 targets and therapeutic protein structures with outstanding functions.