Search

Gastrointestinal bleeding (GIB) is a major cause of mortality in patients with renal failure. We conducted a systematic review of the literature to evaluate the rates, predictors, and outcomes of GIB in patients with chronic kidney disease (CKD). A search of MEDLINE and EMBASE databases was performed, and data were extracted from relevant studies. Statistical pooling was performed to determine the rate of GIB in patients with CKD, and a random-effect meta-analysis was performed to determine the predictors of GIB and mortality in patients with GIB. Twenty-two studies were included in this review, with 7,810,273 patients with CKD included in the analysis. The pooled results of five studies suggested that the rate of GIB in patients with CKD was 2.2%, and among the studies in which patients with CKD underwent endoscopy, the pooled results for GIB were 35.8%. Receipt of dialysis (OR 14.48, 95%CI 4.96–42.32), older age (OR 1.03, 95%CI 1.02–1.05), diabetes mellitus (OR 1.30, 95%CI 1.22–1.39), history of ulcers (OR 1.53, 95%CI 1.03–2.26), and cirrhosis (OR 1.73, 95%CI 1.41–2.12) were significantly associated with GIB. The pooled results suggest a twofold increase in the odds of mortality with GIB, with significant heterogeneity (OR 2.12, 95%CI 1.45–3.10, I2 = 93%). GIB in patients with CKD affects 2% of patients but can be greater in the group of patients who underwent endoscopy. Receipt of dialysis is a strong predictor of GIB, and sustained GIB is associated with a twofold increase in the odds of mortality compared to patients without GIB.

Users of mobile phone applications (apps) often have to wait for the pages of apps to load, a process that substantially affects user experience. Based on the Attentional Gate Model and Emotional Contagion Theory, this paper explores the effects of the urgency expressed by a spokes-character’s movement in the loading page of a social app the app type on users’ switching intention through two studies. In Study 1 (N = 173), the results demonstrated that for a hedonic-orientated app, a high-urgency (vs. low-urgency) spokes-character resulted in a lower switching intention, whereas the opposite occurred for a utilitarian-orientated app. We adopted a similar methodology in Study 2 (N = 182) and the results showed that perceived waiting time mediated the interaction effect demonstrated in Study 1. Specifically, for the hedonic-orientated (vs. utilitarian-orientated) social app, the high-urgency (vs. low-urgency) spokes-character made participants estimate a shorter perceived waiting time, which induces a lower user switching intention. This paper contributes to the literature on emotion, spokes-characters, and human–computer interaction, which extends an enhanced understanding of users’ perception during loading process and informs the design of spokes-characters for the loading pages of apps.