2022
DOI: 10.1001/jamanetworkopen.2022.14253
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Comparison of Risk Scores for Lower Gastrointestinal Bleeding

Abstract: IMPORTANCE Clinical prediction models, or risk scores, can be used to risk stratify patients with lower gastrointestinal bleeding (LGIB), although the most discriminative score is unknown. OBJECTIVE To identify allLGIB risk scores available and compare their prognostic performance.

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Cited by 17 publications
(11 citation statements)
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“…Over the years, numerous LGIB risk stratification scores have been developed. 10 Examples of such scores include the Oakland score, the BLEED (ongoing bleeding, low systolic blood pressure, elevated prothrombin time, erratic mental status and unstable comorbid disease) score, the NOBLADS (nonsteroidal anti-inflammatory drug use, no diarrhoea, no abdominal tenderness, blood pressure ⩽ 100 mmHg, antiplatelet drug use (nonaspirin), albumin < 3.0 g/ dL, disease score ⩾2 (according to the Charlson Comorbidity Index) and syncope) score, the Strate score and the Sengupta score. Some of the scores have been developed to identify low-risk patients, while others have been developed to predict severe bleeding, in-hospital complication or death.…”
Section: Discussionmentioning
confidence: 99%
“…Over the years, numerous LGIB risk stratification scores have been developed. 10 Examples of such scores include the Oakland score, the BLEED (ongoing bleeding, low systolic blood pressure, elevated prothrombin time, erratic mental status and unstable comorbid disease) score, the NOBLADS (nonsteroidal anti-inflammatory drug use, no diarrhoea, no abdominal tenderness, blood pressure ⩽ 100 mmHg, antiplatelet drug use (nonaspirin), albumin < 3.0 g/ dL, disease score ⩾2 (according to the Charlson Comorbidity Index) and syncope) score, the Strate score and the Sengupta score. Some of the scores have been developed to identify low-risk patients, while others have been developed to predict severe bleeding, in-hospital complication or death.…”
Section: Discussionmentioning
confidence: 99%
“…A multicenter retrospective cohort study reported that the Oakland score had excellent performance in predicting adverse outcomes 29 . A meta‐analysis of LGIB risk prognostication models revealed that the Oakland score had the most discriminative performance in predicting the need for blood transfusion and major bleeding 30 …”
Section: Discussionmentioning
confidence: 99%
“…Compared with other existing tools for LGIB risk-stratification, the Oakland score has been shown to be the best predictor for severe bleeding [22], and in a recent meta-analysis comparing four validated LGIB risk-stratification scores, the Oakland score was reported to be the best predictor for safe patient discharge, major bleeding, and need for blood transfusion [23 ▪▪ ].…”
Section: Patient Presentationmentioning
confidence: 99%