2019
Machine Learning to Predict Outcomes in Patients with Acute Gastrointestinal Bleeding: A Systematic Review
Shung D, Simonov M, Gentry M, Au B, Laine L. Machine Learning to Predict Outcomes in Patients with Acute Gastrointestinal Bleeding: A Systematic Review. Digestive Diseases And Sciences 2019, 64: 2078-2087. PMID: 31055722, DOI: 10.1007/s10620-019-05645-z.Peer-Reviewed Original ResearchConceptsClinical risk scoreUpper gastrointestinal bleedingGastrointestinal bleedingOutcomes of mortalityRisk scoreSystematic reviewOvert gastrointestinal bleedingAcute gastrointestinal bleedingPrognosis Studies toolRisk of biasFull-text studiesCurrent risk assessment toolsRisk assessment toolHospital stayHemostatic interventionRisk stratificationInclusion criteriaPrognostic performanceHigh riskIndependent reviewersConference abstractsLower riskMedian AUCPatientsMortality
2014
Medical and Surgical Complications of Inflammatory Bowel Disease in the Elderly: A Systematic Review
Shung DL, Abraham B, Sellin J, Hou JK. Medical and Surgical Complications of Inflammatory Bowel Disease in the Elderly: A Systematic Review. Digestive Diseases And Sciences 2014, 60: 1132-1140. PMID: 25501923, DOI: 10.1007/s10620-014-3462-2.Peer-Reviewed Original ResearchConceptsInflammatory bowel diseaseElderly IBD patientsElderly patientsSystematic reviewIBD patientsSurgical complicationsBowel diseaseInclusion criteriaTumor necrosis factor antagonistsHospital-related complicationsTherapy-related complicationsNecrosis factor antagonistsPouch-anal anastomosisMedication-related complicationsRisk of hospitalHigh-quality studiesMeta-Analyses (PRISMA) guidelinesPreferred Reporting ItemsManual literature searchesConclusionsElderly patientsAnal anastomosisEffect of ageResultsA totalEligible studiesFactor antagonists