Goals and background Studies analyzing artificial intelligence (AI) in colonoscopies have reported improvements in detecting colorectal cancer (CRC) lesions, however its utility in the realworld remains limited. In this systematic review and meta-analysis, we evaluate the efficacy of AI-assisted colonoscopies against routine colonoscopy (RC). Study We performed an extensive search of major databases (through January 2021) for randomized controlled trials (RCTs) reporting adenoma and polyp detection rates. Odds ratio (OR) and standardized mean differences (SMD) with 95% confidence intervals (CIs) were reported. Additionally, trial sequential analysis (TSA) was performed to guard against errors. Results Six RCTs were included (4996 participants). The mean age (SD) was 51.99 (4.43) years, and 49% were females. Detection rates favored AI over RC for adenomas (OR 1.77; 95% CI: 1.570-2.08) and polyps (OR 1.91; 95% CI: 1.68-2.16). Secondary outcomes including mean number of adenomas (SMD 0.23; 95% CI: 0.18-0.29) and polyps (SMD 0.23; 95% CI: 0.17-0.29) detected per procedure favored AI. However, RC outperformed AI in detecting pedunculated polyps. Withdrawal times (WTs) favored AI when biopsies were included, while WTs without biopsies, cecal intubation times, and bowel preparation adequacy were similar. Conclusions Colonoscopies equipped with AI detection algorithms could significantly detect previously missed adenomas and polyps while retaining the ability to self-assess and improve periodically. More effective clearance of diminutive adenomas may allow lengthening in surveillance intervals, reducing the burden of surveillance colonoscopies, and increasing its accessibility to those at higher risk. TSA ruled out the risk for false-positive results and confirmed a sufficient sample size to detect the observed effect. Currently, these findings suggest that AI-assisted colonoscopy can serve as a useful proxy to address critical gaps in CRC identification.
Goals and Background: Stress ulcer prophylaxis has been shown to lower gastrointestinal bleeding (GIB) rates. Various agents have been studied, and the optimal strategy continues to be contested. This study evaluates the efficacy between proton pump inhibitors (PPIs) and histamine-2-receptor antagonists. Small sample sizes and methodology flaws limited prior studies.Study: A systematic search of MEDLINE, EMBASE, CENTRAL, Web of Science, and ClinicalTrials.gov for randomized controlled trials reporting the use of PPI and histamine-2-receptor antagonist reporting rates of GIB and standardized intensive care outcomes. Risk ratios (RR) and standardized mean difference (SMD) with 95% confidence intervals (CIs). A trial sequential analysis was performed to guard against errors.Results: A total of 14 randomized controlled trials of 28,526 patients with a mean age of 57.83 ± 17.35 years and 30.82% females. In our pooled analysis, PPI outperformed its comparator (RR: 0.68; 95% CI: 0.57-0.82) in clinically significant GIB. PPI re-demonstrated significant reduction in overt GIB (RR: 0.61; 95% CI: 0.39-0.97). No differences between groups was noted toward all-cause mortality (RR: 1.05; 95% CI: 1.00-1.10) or incidence of pneumonia (RR: 1.11; 95% CI: 0.82-1.51). Duration of stay (SMD: 0.07; 95% CI: −0.04-0.17) and ventilator days (SMD: 0.01; 95% CI: −0.01-0.04) were indifferent between the groups.Conclusions: Among critically ill patients, PPI was associated with reduced clinically significant or overt GIB. No differences in pneumonia were seen with the use of either agent. Trial sequential analysis for clinically significant GIB ruled out the risk for false-positive results, and thereby it is unlikely that future trials will affect our conclusions.
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