Browsing by Author "Dinis-Ribeiro, Mario"

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    Efficacy and Tolerability of High- vs Low-Volume Split-Dose Bowel Cleansing Regimens for Colonoscopy: A Systematic Review and Meta-analysis
    (Elsevier, 2019) Spadaccini, Marco; Frazzoni, Leonardo; Vanella, Giuseppe; East, James; Radaelli, Franco; Spada, Cristiano; Fuccio, Lorenzo; Benamouzig, Robert; Bisschops, Raf; Bretthauer, Michael; Dekker, Evelien; Dinis-Ribeiro, Mario; Ferlitsch, Monika; Gralnek, Ian; Jover, Rodrigo; Kaminski, Michael F.; Pellisé, Maria; Triantafyllou, Konstantinos; Van Hooft, Jeanin E.; Dumonceau, Jean-Marc; Marmo, Clelia; Alfieri, Sergio; Chandrasekar, Viveksandeep Thoguluva; Sharma, Prateek; Rex, Doug K.; Repici, Alessandro; Hassan, Cesare; Medicine, School of Medicine
    Background & Aims Efficacy of bowel preparation is an important determinant of outcomes of colonoscopy. It is not clear whether approved low-volume polyethylene glycol (PEG) and non-PEG regimens are as effective as high-volume PEG regimens when taken in a split dose. Methods In a systematic review of multiple electronic databases through January 31, 2019 with a registered protocol (PROSPERO: CRD42019128067), we identified randomized controlled trials that compared low- vs high-volume bowel cleansing regimens, administered in a split dose, for colonoscopy. The primary efficacy outcome was rate of adequate bowel cleansing, and the secondary efficacy outcome was adenoma detection rate. Primary tolerability outcomes were compliance, tolerability, and willingness to repeat. We calculated relative risk (RR) and 95% CI values and assessed heterogeneity among studies by using the I2 statistic. The overall quality of evidence was assessed using the GRADE framework. Results In an analysis of data from 17 randomized controlled trials, comprising 7528 patients, we found no significant differences in adequacy of bowel cleansing between the low- vs high-volume split-dose regimens (86.1% vs 87.4%; RR, 1.00; 95% CI, 0.98–1.02) and there was minimal heterogeneity (I2 = 17%). There was no significant difference in adenoma detection rate (RR, 0.96; 95% CI, 0.87–1.08) among 4 randomized controlled trials. Compared with high-volume, split-dose regimens, low-volume split-dose regimens had higher odds for compliance or completion (RR, 1.06; 95% CI, 1.02–1.10), tolerability (RR, 1.39; 95% CI, 1.12–1.74), and willingness to repeat bowel preparation (RR, 1.41; 95% CI, 1.20–1.66). The overall quality of evidence was moderate. Conclusions Based on a systematic review of 17 randomized controlled trials, low-volume, split-dose regimens appear to be as effective as high-volume, split-dose regimens in bowel cleansing and are better tolerated, with superior compliance.
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    Performance of artificial intelligence for colonoscopy regarding adenoma and polyp detection: a meta-analysis
    (Elsevier, 2020) Hassan, Cesare; Spadaccini, Marco; Iannone, Andrea; Maselli, Roberta; Jovani, Manol; Chandrasekar, Viveksandeep Thoguluva; Antonelli, Giulio; Yu, Honggang; Areia, Miguel; Dinis-Ribeiro, Mario; Bhandari, Pradeep; Sharma, Prateek; Rex, Douglas K.; Rösch, Thomas; Wallace, Michael; Repici, Alessandro; Medicine, School of Medicine
    BACKGROUND AND AIMS One fourth of colorectal neoplasia is missed at screening colonoscopy, representing the main cause of interval colorectal cancer (CRC). Deep learning systems with real-time computer-aided polyp detection (CADe) showed high accuracy in artificial settings, and preliminary randomized clinical trials (RCT) reported favourable outcomes in clinical setting. Aim of this meta-analysis was to summarise available RCTs on the performance of CADe systems in colorectal neoplasia detection. METHODS We searched MEDLINE, EMBASE and Cochrane Central databases until March 2020 for RCTs reporting diagnostic accuracy of CADe systems in detection of colorectal neoplasia. Primary outcome was pooled adenoma detection rate (ADR), Secondary outcomes were adenoma per colonoscopy (APC) according to size, morphology and location, advanced APC (AAPC), as well as polyp detection rate (PDR), Polyp-per-colonoscopy (PPC), and sessile serrated lesion per colonoscopy (SPC). We calculated risk ratios (RR), performed subgroup, and sensitivity analysis, assessed heterogeneity, and publication bias. RESULTS Overall, 5 randomized controlled trials (4354 patients), were included in the final analysis. Pooled ADR was significantly higher in the CADe groups than in the control group (791/2163, 36.6% vs 558/2191, 25.2%; RR, 1.44; 95% CI, 1.27-1.62; p<0.01; I 2:42%). APC was also higher in the CADe group compared with control (1249/2163, 0.58 vs 779/2191, 0.36; RR, 1.70; 95% CI, 1.53-1.89; p<0.01;I 2:33%). APC was higher for <5 mm (RR, 1.69; 95% CI, 1.48-1.84), 6-9 mm (RR, 1.44; 95% CI, 1.19-1.75), and >10 mm adenomas (RR, 1.46; 95% CI, 1.04-2.06), as well as for proximal (RR, 1.59; 95% CI, 1.34-1.88) and distal (RR, 1.68; 95% CI, 1.50-1.88), and for flat (RR: 1.78 95% CI 1.47-2.15) and polypoid morphology (RR, 1.54; 95% CI, 1.40-1.68). Regarding histology, CADe resulted in a higher SPC (RR, 1.52; 95% CI,1.14-2.02), whereas a nonsignificant trend for AADR was found (RR, 1.35; 95% CI, 0.74 – 2.47; p = 0.33; I 2:69%). Level of evidence for RCTs was graded moderate. CONCLUSIONS According to available evidence, the incorporation of Artificial Intelligence as aid for detection of colorectal neoplasia results in a significant increase of the detection of colorectal neoplasia, and such effect is independent from main adenoma characteristics.