Transanal drainage tube for prevention of anastomotic leak after anterior resection for rectal cancer: a meta-analysis / 中华胃肠外科杂志

Objective: To assess the effectiveness of transanal drainage tube (TDT) in reducing the incidence of anastomotic leak following anterior resection in patients with rectal cancer. Methods: We conducted a systematic search for relevant studies published from inception to October 2022 across multiple databases, including PubMed, Embase, Web of Science, Cochrane Library, CNKI, Wanfang, and VIP. Meta-analysis was performed using Review Manager 5.4 software. The primary outcomes included total incidence of anastomotic leak, grade B and C anastomotic leak rates, reoperation rate, anastomotic bleeding rate, and overall complication rate. Results: Three randomized controlled trials involving 1115 patients (559 patients in the TDT group and 556 in the non-TDT group) were included. Meta-analysis showed that the total incidences of anastomotic leak and of grade B anastomotic leak were 5.5% (31/559) and 4.5% (25/559), respectively, in the TDT group and 7.9% (44/556) and 3.8% (21/556), respectively, in the non-TDT group. These differences are not statistically significant (P=0.120, P=0.560, respectively). Compared with the non-TDT group, the TDT group had a lower incidence of grade C anastomotic leak (1.6% [7/559] vs. 4.5% [25/556]) and reoperation rate (0.9% [5/559] vs. 4.3% [24/556]), but a higher incidence of anastomotic bleeding (8.2% [23/279] vs. 3.6% [10/276]). These differences were statistically significant (P=0.003, P=0.001, P=0.030, respectively). The overall complication rate was 26.5%(74/279) in the TDT group and 27.2% (75/276) in the non-TDT group. These differences are not statistically significant (P=0.860). Conclusions: TDT did not significantly reduce the total incidence of anastomotic leak but may have potential clinical benefits in preventing grade C anastomotic leak. Notably, placement of TDT may increase the anastomotic bleeding rate.

A Survey on Intelligent Screening for Diabetic Retinopathy / 中国医学科学杂志(英文版)

Diabetic retinopathy (DR) is one of the leading causes of vision loss and can be effectively avoided by screening, early diagnosis and treatment. In order to increase the universality and efficiency of DR screening, many efforts have been invested in developing intelligent screening, and there have been great advances. In this paper, we survey DR screening from four perspectives: 1) public color fundus image datasets of DR; 2) DR classification and related lesion-extraction approaches; 3) existing computer-aided systems for DR screening; and 4) existing issues, challenges, and research trends. Our goal is to provide insights for future research directions on DR intelligent screening.