医学
四分位间距
置信区间
优势比
退出时间
腺瘤
随机对照试验
多中心试验
前瞻性队列研究
多中心研究
内科学
癌症
结肠镜检查
结直肠癌
作者
Madhav Desai,Douglas K. Rex,Matthew Bohm,Perica Davitkov,John M. DeWitt,Monika Fischer,Gregory Faulx,Ryan D. Heath,Timothy D. Imler,Toyia N. James-Stevenson,Charles J. Kahi,William R. Kessler,Divyanshoo R. Kohli,Lee McHenry,Tarun Rai,Nicholas Rogers,Sashidhar Sagi,Anjana Sathyamurthy,Prashanth Vennalaganti,Suneha Sundaram
标识
DOI:10.1016/j.gie.2022.09.031
摘要
Performing a high-quality colonoscopy is critical for optimizing the adenoma detection rate (ADR). Colonoscopy withdrawal time (a surrogate measure) of ≥6 minutes is recommended; however, a threshold of a high-quality withdrawal and its impact on ADR are not known.We examined withdrawal time (excluding polyp resection and bowel cleaning time) of subjects undergoing screening and/or surveillance colonoscopy in a prospective, multicenter, randomized controlled trial. We examined the relationship of withdrawal time in 1-minute increments on ADR and reported odds ratio (OR) with 95% confidence intervals. Linear regression analysis was performed to assess the maximal inspection time threshold that impacts the ADR.A total of 1142 subjects (age, 62.3 ± 8.9 years; 80.5% men) underwent screening (45.9%) or surveillance (53.6%) colonoscopy. The screening group had a median withdrawal time of 9.0 minutes (interquartile range [IQR], 3.3) with an ADR of 49.6%, whereas the surveillance group had a median withdrawal time of 9.3 minutes (IQR, 4.3) with an ADR of 63.9%. ADR correspondingly increased for a withdrawal time of 6 minutes to 13 minutes, beyond which ADR did not increase (50.4% vs 76.6%, P < .01). For every 1-minute increase in withdrawal time, there was 6% higher odds of detecting an additional subject with an adenoma (OR, 1.06; 95% confidence interval, 1.02-1.10; P = .004).Results from this multicenter, randomized controlled trial underscore the importance of a high-quality examination and efforts required to achieve this with an incremental yield in ADR based on withdrawal time. (Clinical trial registration number: NCT03952611.).
科研通智能强力驱动
Strongly Powered by AbleSci AI