Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2022 May 2;5(5):e2214253.
doi: 10.1001/jamanetworkopen.2022.14253.

Comparison of Risk Scores for Lower Gastrointestinal Bleeding: A Systematic Review and Meta-analysis

Affiliations
Meta-Analysis

Comparison of Risk Scores for Lower Gastrointestinal Bleeding: A Systematic Review and Meta-analysis

Majed Almaghrabi et al. JAMA Netw Open. .

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 all LGIB risk scores available and compare their prognostic performance.

Data sources: A systematic search of Ovid MEDLINE, Embase, and the Cochrane Central Register of Controlled Trials from January 1, 1990, through August 31, 2021, was conducted. Non-English-language articles were excluded.

Study selection: Observational and interventional studies deriving or validating an LGIB risk score for the prediction of a clinical outcome were included. Studies including patients younger than 16 years or limited to a specific patient population or a specific cause of bleeding were excluded. Two investigators independently screened the studies, and disagreements were resolved by consensus.

Data extraction and synthesis: Data were abstracted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guideline independently by 2 investigators and pooled using random-effects models.

Main outcomes and measures: Summary diagnostic performance measures (sensitivity, specificity, and area under the receiver operating characteristic curve [AUROC]) determined a priori were calculated for each risk score and outcome combination.

Results: A total of 3268 citations were identified, of which 9 studies encompassing 12 independent cohorts and 4 risk scores (Oakland, Strate, NOBLADS [nonsteroidal anti-inflammatory drug use, no diarrhea, no abdominal tenderness, blood pressure ≤100 mm Hg, antiplatelet drug use (nonaspirin), albumin <3.0 g/dL, disease score ≥2 (according to the Charlson Comorbidity Index), and syncope], and BLEED [ongoing bleeding, low systolic blood pressure, elevated prothrombin time, erratic mental status, and unstable comorbid disease]) were included in the meta-analysis. For the prediction of safe discharge, the AUROC for the Oakland score was 0.86 (95% CI, 0.82-0.88). For major bleeding, the AUROC was 0.93 (95% CI, 0.90-0.95) for the Oakland score, 0.73 (95% CI, 0.69-0.77) for the Strate score, 0.58 (95% CI, 0.53-0.62) for the NOBLADS score, and 0.65 (95% CI, 0.61-0.69) for the BLEED score. For transfusion, the AUROC was 0.99 (95% CI, 0.98-1.00) for the Oakland score and 0.88 (95% CI, 0.85-0.90) for the NOBLADS score. For hemostasis, the AUROC was 0.36 (95% CI, 0.32-0.40) for the Oakland score, 0.82 (95% CI, 0.79-0.85) for the Strate score, and 0.24 (95% CI, 0.20-0.28) for the NOBLADS score.

Conclusions and relevance: The Oakland score was the most discriminative LGIB risk score for predicting safe discharge, major bleeding, and need for transfusion, whereas the Strate score was best for predicting need for hemostasis. This study suggests that these scores can be used to predict outcomes from LGIB and guide clinical care accordingly.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest Disclosures: Dr Wilson reported receiving speaking fees from Takeda outside the submitted work. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Preferred Reporting Items for Systematic Reviews and Meta-analyses Flow of Studies Through the Systematic Review
Figure 2.
Figure 2.. Forest Plot of Sensitivity and Specificity for the Prediction of Safe Discharge Using the Oakland Score
Letters are used after the year in some studies to denote separate and independent cohorts.
Figure 3.
Figure 3.. Forest Plot of Sensitivity and Specificity for the Prediction of Major Bleeding by Risk Score
A, Oakland score. B, Strate score. C, NOBLADS (nonsteroidal anti-inflammatory drug use, no diarrhea, no abdominal tenderness, blood pressure ≤100 mm Hg, antiplatelet drug use [nonaspirin], albumin <3.0 g/dL, disease score ≥2 [according to the Charlson Comorbidity Index], and syncope) score. D, BLEED (ongoing bleeding, low systolic blood pressure, elevated prothrombin time, erratic mental status, and unstable comorbid disease) score. Letters are used after the year in some studies to denote separate and independent cohorts.
Figure 4.
Figure 4.. Forest Plot of Sensitivity and Specificity for the Prediction of Need for Hemostasis by Risk Score
A, Oakland score. B, Strate score. C, NOBLADS (nonsteroidal anti-inflammatory drug use, no diarrhea, no abdominal tenderness, blood pressure ≤100 mm Hg, antiplatelet drug use [nonaspirin], albumin <3.0 g/dL, disease score ≥2 [according to the Charlson Comorbidity Index], and syncope) score. Letters are used after the year in some studies to denote separate and independent cohorts.

References

    1. Strate LL, Gralnek IM. ACG clinical guideline: management of patients with acute lower gastrointestinal bleeding. Am J Gastroenterol. 2016;111(4):459-474. doi:10.1038/ajg.2016.41 - DOI - PMC - PubMed
    1. Lanas A, García-Rodríguez LA, Polo-Tomás M, et al. . Time trends and impact of upper and lower gastrointestinal bleeding and perforation in clinical practice. Am J Gastroenterol. 2009;104(7):1633-1641. doi:10.1038/ajg.2009.164 - DOI - PubMed
    1. Longstreth GF. Epidemiology and outcome of patients hospitalized with acute lower gastrointestinal hemorrhage: a population-based study. Am J Gastroenterol. 1997;92(3):419-424. - PubMed
    1. Hreinsson JP, Gumundsson S, Kalaitzakis E, Björnsson ES. Lower gastrointestinal bleeding: incidence, etiology, and outcomes in a population-based setting. Eur J Gastroenterol Hepatol. 2013;25(1):37-43. doi:10.1097/MEG.0b013e32835948e3 - DOI - PubMed
    1. Oakland K, Guy R, Uberoi R, et al. ; UK Lower GI Bleeding Collaborative . Acute lower GI bleeding in the UK: patient characteristics, interventions and outcomes in the first nationwide audit. Gut. 2018;67(4):654-662. doi:10.1136/gutjnl-2016-313428 - DOI - PubMed