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Background: This protocol is for a multi-centre randomised controlled trial to determine whether the computer-aided system ENDOANGEL-GC improves the detection rates of gastric neoplasms and early gastric cancer (EGC) in routine oesophagogastroduodenoscopy (EGD). Methods: Study design: Prospective, single-blind, parallel-group, multi-centre randomised controlled trial. Settings: The computer-aided system ENDOANGEL-GC was used to monitor blind spots, detect gastric abnormalities, and identify gastric neoplasms during EGD. Participants: Adults who underwent screening, diagnosis, or surveillance EGD. Randomisation groups: 1. Experiment group, EGD examinations with the assistance of the ENDOANGEL-GC; 2. Control group, EGD examinations without the assistance of the ENDOANGEL-GC. Randomisation: Block randomisation, stratified by centre. Primary outcomes: Detection rates of gastric neoplasms and EGC. Secondary outcomes: Detection rate of premalignant gastric lesions, biopsy rate, observation time, and number of blind spots on EGD. Blinding: Outcomes are undertaken by blinded assessors. Sample size: Based on the previously published findings and our pilot study, the detection rate of gastric neoplasms in the control group is estimated to be 2.5%, and that of the experimental group is expected to be 4.0%. With a two-sided α level of 0.05 and power of 80%, allowing for a 10% drop-out rate, the sample size is calculated as 4858. The detection rate of EGC in the control group is estimated to be 20%, and that of the experiment group is expected to be 35%. With a two-sided α level of 0.05 and power of 80%, a total of 270 cases of gastric cancer are needed. Assuming the proportion of gastric cancer to be 1% in patients undergoing EGD and allowing for a 10% dropout rate, the sample size is calculated as 30,000. Considering the larger sample size calculated from the two primary endpoints, the required sample size is determined to be 30,000. Discussion: The results of this trial will help determine the effectiveness of the ENDOANGEL-GC in clinical settings. Trial registration: ChiCTR (Chinese Clinical Trial Registry), ChiCTR2100054449, registered 17 December 2021. [ABSTRACT FROM AUTHOR]

Background: Sedative gastrointestinal endoscopy is extensively used worldwide. An appropriate degree of sedation leads to more acceptability and satisfaction. Artificial intelligence has rapidly developed in the field of digestive endoscopy in recent years and we have constructed a mature computer-aided diagnosis (CAD) system. This system can identify the remaining parts to be examined in real-time endoscopic procedures, which may help anesthetists use anesthetics properly to keep patients in an appropriate degree of sedation. Aims: This study aimed to evaluate the effects of the CAD system on anesthesia quality control during gastrointestinal endoscopy. Methods: We recruited 154 consecutive patients at Renmin Hospital of Wuhan University, including 76 patients in the CAD group and 78 in the control group. Anesthetists in the CAD group were able to see the CAD system's indications, while anesthetists in the control group could not. The primary outcomes included emergence time (from examination completion to spontaneous eye opening when doctors called the patients' names), recovery time (from examination completion to achievement of the primary recovery endpoints) and patient satisfaction scores. The secondary outcomes included anesthesia induction time (from sedative administration to successful sedation), procedure time (from scope insertion to scope withdrawal), total dose of propofol, vital signs, etc. This trial was registered in the Primary Registries of the WHO Registry Network, with registration number ChiCTR2100042621. Results: Emergence time in the CAD group was significantly shorter than that in the control group (p < 0.01). The recovery time was also significantly shorter in the CAD group (p < 0.01). Patients in the CAD group were significantly more satisfied with their sedation than those in control group (p < 0.01). Vital signs were stable during the examinations in both groups. Propofol doses during the examinations were comparable between the two groups. Conclusion: This CAD system possesses great potential for anesthesia quality control. It can improve patient satisfaction during endoscopic examinations with sedation. Trial registration: ChiCTR2100042621. [ABSTRACT FROM AUTHOR]

Gratitude-based interventions are effective for increasing individuals' subjective well-being (SWB); however, they have not been validated among prisoners, especially for negative states (i.e. aggression). Furthermore, as a social emotion, gratitude might be nurtured via practice within a social group. Therefore, we developed a weekly group-based sharing gratitude exercise, and examined its effect along with that of daily blessing-counting among prisoners in China. Ninety-six male violent prisoners were assigned randomly to three conditions (gratitude-sharing, blessing-counting, and control). Interventions took place over five weeks. Both interventions improved SWB and decreased aggression compared to controls. Additionally, the improvement in gratitude mediated the relationship between the two forms of intervention and SWB. These findings indicate that gratitude-based interventions can be implemented among male prisoners to help further the psychological corrective function of prisons in China. [ABSTRACT FROM AUTHOR]