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Systematic Review

Pre-Endoscopic Scores Predicting Low-Risk Patients with Upper Gastrointestinal Bleeding: A Systematic Review and Meta-Analysis

1
Department of Medicine, Cleveland Clinic Foundation, Cleveland, OH 44195, USA
2
Department of Medicine, Faculty of Medicine, Kuwait University, Jabriyah 13110, Kuwait
3
Department of Medicine, King Saud University, Riyadh 11421, Saudi Arabia
4
Research Institute of the McGill University Health Center, Montreal, QC H3G 1A4, Canada
5
Division of Gastroenterology, McGill University Health Center, McGill University, Montréal, QC H3G 1A4, Canada
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2023, 12(16), 5194; https://doi.org/10.3390/jcm12165194
Submission received: 31 May 2023 / Revised: 1 August 2023 / Accepted: 3 August 2023 / Published: 9 August 2023
(This article belongs to the Special Issue Clinical Advances in Upper Gastrointestinal Bleeding)

Abstract

:
Background: Several risk scores have attempted to risk stratify patients with acute upper gastrointestinal bleeding (UGIB) who are at a lower risk of requiring hospital-based interventions or negative outcomes including death. This systematic review and meta-analysis aimed to compare predictive abilities of pre-endoscopic scores in prognosticating the absence of adverse events in patients with UGIB. Methods: We searched MEDLINE, EMBASE, Central, and ISI Web of knowledge from inception to February 2023. All fully published studies assessing a pre-endoscopic score in patients with UGIB were included. The primary outcome was a composite score for the need of a hospital-based intervention (endoscopic therapy, surgery, angiography, or blood transfusion). Secondary outcomes included: mortality, rebleeding, or the individual endpoints of the composite outcome. Both proportional and comparative analyses were performed. Results: Thirty-eight studies were included from 2153 citations, (n = 36,215 patients). Few patients with a low Glasgow-Blatchford score (GBS) cutoff (0, ≤1 and ≤2) required hospital-based interventions (0.02 (0.01, 0.05), 0.04 (0.02, 0.09) and 0.03 (0.02, 0.07), respectively). The proportions of patients with clinical Rockall (CRS = 0) and ABC (≤3) scores requiring hospital-based intervention were 0.19 (0.15, 0.24) and 0.69 (0.62, 0.75), respectively. GBS (cutoffs 0, ≤1 and ≤2), CRS (cutoffs 0, ≤1 and ≤2), AIMS65 (cutoffs 0 and ≤1) and ABC (cutoffs ≤1 and ≤3) scores all were associated with few patients (0.01–0.04) dying. The proportion of patients suffering other secondary outcomes varied between scoring systems but, in general, was lowest for the GBS. GBS (using cutoffs 0, ≤1 and ≤2) showed excellent discriminative ability in predicting the need for hospital-based interventions (OR 0.02, (0.00, 0.16), 0.00 (0.00, 0.02) and 0.01 (0.00, 0.01), respectively). A CRS cutoff of 0 was less discriminative. For the other secondary outcomes, discriminative abilities varied between scores but, in general, the GBS (using cutoffs up to 2) was clinically useful for most outcomes. Conclusions: A GBS cut-off of one or less prognosticated low-risk patients the best. Expanding the GBS cut-off to 2 maintains prognostic accuracy while allowing more patients to be managed safely as outpatients. The evidence is limited by the number, homogeneity, quality, and generalizability of available data and subjectivity of deciding on clinical impact. Additional, comparative and, ideally, interventional studies are needed.

1. Introduction

Acute upper gastrointestinal bleeding (UGIB) is a life-threatening condition that affects one per 1000 population yearly, resulting in more than 300,000 hospital admissions annually in the United States with significant associated costs [1]. Despite the advances in the management of UGIB, it still carries significant morbidity and mortality [2]. However, not all patients with acute UGIB require hospital-based interventions and up to 25% of these patients may successfully be managed on a sole out-patient basis [3]. Therefore, early prediction of negative outcomes among patients with UGIB is crucial to ensure appropriate disposition from the initial point of care. Over the last few decades, several pre-endoscopic risk assessment scores were proposed to risk stratify patients with acute UGIB, including the Glasgow-Blatchford score (GBS) [4], clinical Rockall score (CRS) [5], and AIMS65 score [6]. More recently, the Age, Blood tests and Comorbidities (ABC) [7] and the Canada—United Kingdom—Adelaide (CANUKA) scores [8] were introduced (Table 1). These scores can be used by emergency department or subspecialty physicians when selecting patients with UGIB requiring admission because of a medical, radiological, or surgical intervention.
However, these scoring systems are not routinely used in clinical practice [9], principally due to insufficient validation of their clinical impact in prospective studies. Current practice guidelines for the management of non-variceal UGIB recommend using the GBS to identify low-risk patients with a cutoff of ≤1, but the data supporting this recommendation is quite weak, as reflected by the corresponding very low to low level certainty of evidence using the GRADE rating [10,11]. Therefore, the optimal risk stratification tool for predicting adverse events in a pre-endoscopic setting unfortunately remains unclear [12].
In this systematic review and meta-analysis, we aimed to identify and compare pre-endoscopic published and validated contemporary predictive tools for safely discharging patients with low risk UGIB.

2. Materials and Methods

The PICOT question for this study is:
  • Population—patients presenting to the ER with suspected upper GI bleeding
  • Intervention—evaluation of low-risk patient using a pre-endoscopic risk score to predict outcomes
  • Control—non-low risk patients according to varying thresholds
  • Outcomes—The primary outcome was a composite score for the need of a hospital-based intervention (endoscopic therapy, surgery, angiography, or blood transfusion). Secondary outcomes included: mortality, rebleeding or the individual endpoints of the composite outcome
  • Time—follow-up up to 30 days from the index bleeding episode

2.1. Search Strategy

Systematic searches were performed for full papers and abstracts published up until February 2023 using MEDLINE, EMBASE, Central, and ISI Web of knowledge. Citation selection used a highly sensitive search strategy with Mesh and controlled vocabulary related to (1) UGIB, and (2) pre-endoscopic prognostic scales that are based on pre-endoscopic clinical data. (Supplementary Table S1). Recursive searches and cross-referencing were also carried out using a “similar articles” function; hand searches of articles were identified after an initial search.

2.2. Study Selection and Patient Population

All fully published studies assessing a pre-endoscopic score in patients with UGIB (including variceal and non-variceal) were included. UGIB was defined as patients presenting with hematemesis, coffee ground vomiting or melena. Exclusion criteria were studies reporting non-human participants, trials not published in English or French, or addressing a pediatric population. In addition, any risk assessment score that was a subsequent modification of an initial publication of a pre-endoscopic score was excluded. The definition of “low-risk” group varied by the individual risk assessment scores. We used the commonly reported score thresholds for determining low-risk patients and varied them to determine the best performing values. Because of the main aim of the trial and the adopted primary outcome (see below), the low-risk group focused more specifically on patients who could be discharged from an emergency room without the performance of an endoscopy at the index visit. This is in keeping with recent guideline recommendations [10,11]. Because of recent guideline recommendations defining a low-risk group as a risk assessment score with ≤1% false negative rate for the outcome of hospital-based intervention or death (e.g., Glasgow-Blatchford score = 0–1), we initially adopted that definition, but also varied the thresholds and risk scores in an attempt to better define their prognostication [11]. Studies that did not specify a cutoff for the low-risk group or did not provide enough data to allow calculation of the low-risk score were excluded.

2.3. Validity Assessment

Two reviewers (AB, MM) evaluated the eligibility of all identified citations independently, with a third resolving disagreements (AA). Study quality was assessed using the Ottawa-Newcastle score (NOS) for observational studies [13].

2.4. Choice of Outcome

The adopted primary outcome was a previously validated composite score for need of a hospital-based intervention (treatment with transfusion, endoscopic treatment, surgery, or angiography) [14]. This definition was taken from contemporary guidelines as it is specifically tailored to the identification of patients who could be discharged from an emergency room without the performance of an endoscopy at the index visit [10,11]. Secondary outcomes included: rebleeding, mortality, or individual components of the composite outcome. Data will be presented initially as a meta-analysis of proportions (purely descriptive) based on studies that reported outcomes for low-risk patients. We also perform a subsequent meta-analysis assessing studies that included data for both low and greater risk patients allowing for a comparative analysis.

2.5. Sensitivity and Subgroup Analyses

Pre-planned possible subgroup and sensitivity analyses for the primary outcome included assessments according to year of publication, quality of studies, performing a fixed rather than a random effect model (when appropriate), and when correcting for double-zero events.

2.6. Statistical Analysis and Possible Sources of Statistical Heterogeneity

Categorical estimates of primary and secondary outcomes were reported as proportions and 95% confidence intervals (CI) using weighted random effects models. Continuous variables were reported as means and standard deviations; medians were used if means were not available, and standard deviations (SDs) were calculated or imputed when possible [15]. For comparative studies, effect size was calculated with weighted mean differences (WMDs) for continuous variables. Odds ratios (ORs) were calculated for categorical variables.
The DerSimonian and Laird method [16] for random effect models was applied to all outcomes to determine corresponding overall effect sizes and their confidence intervals. Sensitivity analyses were performed using the Mantel–Haenszel method with fixed effect models when no statistical heterogeneity was noted. WMD were handled as continuous variables using the inverse variance approach. Presence of heterogeneity across studies was defined using a Chi-square test of homogeneity with a 0.10 significance level [15].
The Higgins I2 statistic [17] was calculated to quantify the proportion of variation in treatment effects attributable to between-study heterogeneity, with values of 25%, 50%, and 75% representing low, moderate, and high heterogeneity, respectively.
For all comparisons, publication bias was evaluated using funnel plots if at least 3 citations were identified. In order to ensure that zero event trials did not significantly affect the heterogeneity or p-values, sensitivity analyses were performed where a continuity correction was added to each trial with zero events using the reciprocal of the opposite treatment arm size [18].
All statistical analyses were done using Revman 5.4 and Meta package in R version 2.13.0, (R Foundation for Statistical Computing, Vienna, Austria, 2008).

3. Results

3.1. Included Studies

Overall, 2153 citations were retrieved; 1497 were rejected based on titles and abstracts, 163 articles were fully reviewed, and 38 studies (n = 36,215 patients) were included (PRISMA diagram, Figure 1). Fourteen studies (n = 7958 patients) assessed GBS [19,20,21,22,23,24,25,26,27,28,29,30,31], 4 assessed CRS (n = 1890 patients) [32,33,34,35], 3 assessed AIMS65 (n = 1340 patients) [36,37,38] and 1 study assessed the ABC score (n = 2020) [39]. Six studies reported results for both the GBS and CRS (n = 2774 patients) [3,40,41,42,43,44], three reported both GBS and AIMS65 (n = 1372 patients) [45,46,47] and one assessed GBS and the The Haemoglobin-Urea-Pulse-Systolic blood pressure score (HUPS) (n = 934 patients) [48]. The remaining six studies assessed multiple risk scores (n = 17,816 patients) [8,14,49,50,51,52]. Table 2 details the included studies. Only scoring systems that had at least three fully published validation studies were included in the results while the others were included only in the supplementary Table S2. Study quality scores using the NOS ranged from 5 to 7 stars out of a possible score of 9, with a mean of 6.6 ± 0.9. Assessing the individual domains of the NOS confirmed the low quality of the studies (Supplementary Table S3). No publication bias was observed (data available upon request).

3.2. Primary Outcome

The proportion of hospital-based interventions performed (composite outcome) was reported in seven studies (n = 4377 patients) [3,19,20,39,40,48,52]. The proportion of low-risk patients requiring hospital-based intervention for GBS cutoffs of 0, ≤1, and ≤2 were 0.02 (0.01, 0.05), 0.04 (0.02, 0.09), and 0.03(0.02, 0.07), respectively. For a CRS cutoff of 0, the proportion was 0.19 (0.15, 0.24), and was 0.69 (0.62, 0.75) for an ABC ≤ 3 (Table 3, Figure 2 and Figure 3). A composite outcome-based analysis was not available for the other scoring systems.
For the comparative analysis between low- and greater-risk groups, data were available from four studies (n = 2212 patients) [19,20,39,52]. Scores of GBS = 0 (1 study, n = 478 patients) [20], GBS ≤ 1 (1 study, n = 569 patients) [20], and GBS ≤ 2 (2 studies, n = 998 patients) [19,52] yielded respective ORs of 0.02 (0.00, 0.16), 0.00 (0.00, 0.02) and 0.01 (0.00, 0.04) for predicting hospital-based interventions among low-risk compared to greater-risk groups. A CRS of 0 (1 study, n = 478 patients) [52] had an OR of 0.17 (0.08, 0.34), while an ABC ≤ 3 (1 study, n = 645 patients) [39] was associated with an OR of 0.42 (0.29, 0.62) (Table 4). Comparative results were not available for the other scoring systems.

3.3. Secondary Outcomes

Mortality: Among patients with a GBS of 0 and ≤1, mortality was reported in 0.01 (0.01, 0.03) and 0.01 (0.00, 0.01), respectively. The mortality among patients with a CRS cutoff of 0 was 0.01 (0.00, 0.02), for ≤1 was 0.01(0.00, 0.01) and for ≤2 was 0.02 (0.01, 0.04). For AIMS65 using a cutoff of 0, the mortality was 0.01 (0.01, 0.02), while for an AIMS65 ≤ 1 it was 0.04 (0.03, 0.05). For the ABC score, the proportions for mortality were 0.02 (0.01, 0.12) and 0.10 (0.06, 0.17) for cutoffs of ≤1 and ≤3, respectively. With regard to the comparative analysis, GBS ≤ 1 (OR 0.06 (0.02, 0.20)) and GBS ≤ 2 (OR 0.11 (0.04, 0.27)) had the best predictive ability for the mortality outcome among low-risk compared to greater-risk groups. Detailed results are shown in Table 3 (proportion) and Table 4 (comparative analysis).
Rebleeding: In the proportional analysis, for both GBS and CRS (with cutoffs up to 2) rebleeding occurred in a small proportion of patients identified as low risk (proportions between 0.01 to 0.07) (Table 3). However, in the comparative analysis, only cut-offs of GBS = 0 (OR 0.27 (0.09, 0.97)) and GBS ≤ 1 (OR 0.09 (0.01, 0.68)) were able to discriminate the low-risk from greater-risk groups for the outcome of rebleeding (Table 4).
Blood Transfusion: Blood transfusions were required in 0.01 (0.01, 0.03) and 0.04 (0.03, 0.06) of patients with GBS cutoff of 0 and ≤2, respectively. The proportions for the other scoring systems were higher, as shown in Table 3. For the comparative analysis, GBS using the different cutoffs had the highest predictive ability, as shown in Table 4.
Endoscopic intervention: An endoscopic intervention was required in a small proportion of patients with a low GBS score (GBS = 0, 0.02 (0.01, 0.03), GBS ≤ 1, 0.02 (0.01, 0.02), and GBS ≤ 2, 0.06 (0.04, 0.09)). The proportion of patients identified as low risk using either the CRS or AIMS65 but requiring endoscopic intervention was higher when compared to that using the GBS (Table 3). For the comparative analysis, GBS (using all 3 cutoffs) had the best predictive ability for discriminating low-risk from greater-risk groups for the outcome of endoscopic intervention (Table 4).
Surgical intervention: Patients identified as low risk by GBS, CRS and AIMS65 all had low surgical intervention rates. However, the comparative analysis identified a GBS ≤ 1 and GBS ≤ 2 as the scores with the highest discriminative ability in this regard (OR 0.19 (0.06, 0.60) and OR 0.27 (0.07, 0.97), respectively).
Radiological intervention: Data were only available for the GBS for this outcome. Overall, the proportion of patients requiring radiological intervention was low among GBS = 0 (0.01 (0.00, 0.007)), GBS ≤ 1 (0.00, (0.00, 0.02)) and GBS ≤ 2 (0.01 (0.00, 0.04)). However, GBS did not discriminate well between the low- and greater-risk groups for this endpoint (Table 4).

3.4. Sensitivity and Subgroup Analyses

A pre-planned sensitivity analysis according to the year of publication and limiting the assessment to higher quality studies did not alter overall findings (Supplementary Table S4).

4. Discussion

GIB is the most common cause of hospitalization for GI conditions in the United States, accounting for over half a million admissions annually [54]. Nearly 80% of patients seen in an emergency room with UGIB are admitted to hospital with this condition as principal diagnosis [54]. Yet in over 80% of cases of UGIB, interventions such as endoscopic therapy, blood transfusion or surgery are not needed to stop the bleeding [55]. Although co-morbid conditions may also play a role in the need for hospitalization and other outcomes, not all patients with GIB require admission, hence the critical importance of stratifying patients into being at low or high risk for developing adverse events using validated prognostic scores [56]. A risk assessment tool that correctly identifies very low-risk patients, soon after presentation, who do not need hospital admission or intervention and can be safely discharged to obtain an elective out-patient endoscopy has the potential of reducing health resource utilization in acute UGIB [57].
We focused this systematic review on characterizing and, where possible, looking at the prognostic ability of different scoring schemes in predicting proportions of patients not developing negative outcomes, as well as comparing these amongst patients stratified into low or higher-risk using specific cut-off. We selected for this review scales that can be calculated in the emergency department before any endoscopic intervention (Table 1), thus excluding certain prognostic score assessments such as the PNED [58,59] scale. These needed to have been appropriately validated by sampling cohorts separate from the ones used for development of the individual scale; as well those that should not require endoscopic or in-hospital information, in keeping with our target population of interest. We thus included GBS, CRS, AIMS65 and ABC, but not others that did not fulfill our selection criteria such as the HARBINGER scale [59] (the latter had was reported in less than 3 studies, and did not consider our primary outcome while excluding patients with oozing lesions). More specifically, we assessed prediction of the need for a hospital intervention of any type including endoscopic, surgical, and radiologic therapy, or blood transfusion either individually or as a group (composite outcome measure as proposed by Stanley et al. [14]), as well as the development of rebleeding or mortality. Only the use of the composite outcome measure of avoiding all hospital-based interventions can address the patient population targeted by our meta-analysis since the occurrence of any one of these, even if just one, would increase the risk of discharging the patient from the emergency room without performance of an index endoscopy. This rationale is a very different one than assessing the performance of risk scores in predicting one or many of the hospital-based interventions, and/or rebleeding and/or mortality: all of which relate to patients at higher risk than our target population. Unfortunately, as we did not have patient-level information from the studies, it was impossible for us to identify or report which of the patients who met the composite outcome measure experienced each of its individual components. The continuous outcomes of intensive care unit and hospital lengths of stay were clinically not relevant to the overall focus on outpatient management prediction and were thus not studied.
In the initial part of the meta-analysis, we calculated proportions of patients achieving the various outcomes associated with low-risk allocation for the different scales using optimal cut-offs (summarized in Table 3 with a more complete description included in appendix). The GBS performed well in predicting 0–6% of low-risk patients for all outcomes studied. In contrast, the CRS and AIMS65 were only useful in prognosticating mortality, rebleeding (only the CRS), or surgical intervention (overall 0–7% for low-risk patients).
The aim of this meta-analysis is to compare different thresholds, and thus risk ratios and not absolute test performance characteristics are presented. A meta-analysis of diagnostic tests employs a very different methodology, which was not used as this was not the clinical or methodological aim of our meta-analysis. In the comparative analysis part of our work, only the GBS remained useful (Table 4), and only in predicting the composite outcome of hospital-based interventions and need for blood transfusion as individual outcome. Among the different cut-off values of the GBS that have been assessed in previous studies [3,25,30], a cut-off score of GBS ≤ 1 appeared to be the most discriminative. Indeed, the odds ratios for predicting low-risk patients requiring hospital-based intervention for GBS cutoffs of 0, ≤1, and ≤2 were 0.02 (0.00, 0.16), 0.00 (0.00, 0.02) and 0.01 (0.00, 0.04), respectively. In other words, for example, the likelihood of requiring a hospital-based intervention in a patient with a GBS ≤ 1 (OR = 0.00 (0.00–0.02)) would be, at worst, 50-fold less likely than a patient with a higher GBS score, 95 times out of 100. No CRS or AIMS65 cut-offs were found to be discriminant in the comparative analysis.
The present results provide a more complete review of evidence in support of current guidelines that have suggested the GBS ≤ 1 as a useful score threshold in determining a low risk of adverse events, in turn allowing for safe outpatient management of patients with an early discharge from the emergency room [10,11,60,61]. Interestingly, our results demonstrate that a GBS cut-off score of 2 or less also prognosticated, very accurately, patients at low risk of developing the composite outcome of hospital-based interventions of any type. The potential advantage of adopting this threshold is the greater overall proportion of patients it applies to, and thus can be sent home acutely compared to a smaller number if adopting a GBS threshold of ≤1 (30.5% vs. 19–24%, respectively) [14,24]. This increased applicability needs to be weighed against the minimal additional risk of misclassification. Such trade-off may be very reasonable in a setting of limited resources and could further be assessed using utilities analyses coupled to decision modeling. Importantly, we excluded studies that specifically looked at patients with known co-morbidities or concerning hemodynamic presentation, since these would not be included in any low-risk group as we and the guidelines have defined them. However, patients who initially had neither but may have developed these in time were included in the studies we used to analyze the outcomes (which is in part why there is not a perfect prognostication of patients).
Limitations of the current systematic review include the unavailability of sufficient data to calculate the low-risk prediction performance by some of the scoring system, principally related to an inability to reproduce numerators and denominators from the published information, as defined a priori in our study selection criteria. Additional limitations included the restricted number of studies that could completely inform our systematic review and meta-analysis, and heterogeneity in the selection of patient populations as listed in Table 2, and definitions and selection of individual outcomes. Many scores could not be included as they had not been adequately studied amongst low-risk populations, had not been validated in an independent cohort, or were dependent on endoscopic or hospital-based information such as the HARBINGER scale, qSOFA, shock index, and Progetto Nazionale Emorragia Digestiva (PNED) or an artificial-intelligence-based scoring system [59,62,63,64,65]. There also exists little formal guidance to assess the clinical pertinence of the different prognosticating abilities with regard to balancing the trade-off of accurate outcome prognostication attributable to a provided score threshold versus the proportion of patients that the given cut-off can apply to.
Furthermore, very few studies were interventional in nature, actually assessing the clinical impact of the adoption of the risk score in guiding the downstream clinical management of patients [3]. The prevalence of variceal bleeding amongst all UGIB patients seen in a given practice may also affect the generalizability of the observed results. Indeed, it is important to note that the populations studied typically included patients with both variceal and non-variceal upper gastrointestinal bleeding; although the former usually represent approximately 10% of all acute UGIB [9], depending on local institutional patient mix.
In conclusion, published pre-endoscopic risk scores allow, as a group, good discrimination between populations at low-and higher-risk of developing adverse events. The best performing prognostic scale appears to be the GBS using a cut-off score of 1 or less. Results of our meta-analysis suggest that extending the cut-off to 2 may be reasonable when considering the overall proportion of patients who can be discharged home acutely, potentially allowing for a better utilization of resources. Informing evidence is limited by the number, heterogeneity, quality, and generalizability of the available data. Additional, comparative and, ideally, interventional studies are needed to best confirm these results.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jcm12165194/s1, Table S1: Search Strategy; Table S2: Primary and secondary outcomes for the extra risk assessment scores (expressed as proportions); Table S3: The Newcastle-Ottawa scale for the quality of included studies; Table S4: Sensitivity analyses for primary outcome.

Author Contributions

Conceptualization, A.N.B., M.M., A.B., A.A.A. and M.A.; methodology, A.N.B., M.M., A.B. and A.A.A.; software, M.M.; validation, A.N.B., M.M., A.B. and A.A.A.; formal analysis, M.M.; investigation, A.N.B., M.M., A.B. and A.A.A.; resources, A.N.B. and M.M.; data curation, M.M.; writing—original draft preparation, M.M., A.B. and A.A.A.; writing—review and editing, A.N.B.; visualization, A.N.B.; supervision, A.N.B.; project administration, M.A.; funding acquisition, M.A. All authors have read and agreed to the published version of the manuscript.

Funding

The authors extend their appreciation to the International Scientific Partnership Program ISPP at King Saud University for funding this research work through ISPP-21-156(1).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

Antoine Boustany, Ali Alali, Majid Almadi, Myriam Martel, and Alan Barkun have no financial relationships relevant to this publication to disclose.

Abbreviations

ABCAge, blood tests and comorbidities
AIMS65Albumin, INR, Mental status, systolic blood pressure, age > 65
CANUKACanada—United Kingdom—Adelaide
CRSClinical Rockall score
EDEmergency department
GBSGlasgow Blatchford Score
HUPSHemoglobin–Urea–Pulse–Systolic blood pressure score
ICUIntensive care unit
LOSLength of stay
NANot available
NOSNewcastle Ottawa Score
pBBSPre-endoscopic Baylor Bleeding Score
pCSMCPPre-endoscopic Cedars-Sinai Medical Center Predictive Index
UGIBUpper gastrointestinal bleed

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Figure 1. PRISMA diagram.
Figure 1. PRISMA diagram.
Jcm 12 05194 g001
Figure 2. Forest plot composite outcome GBS ≤ 2 [19,48,52].
Figure 2. Forest plot composite outcome GBS ≤ 2 [19,48,52].
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Figure 3. Forest plot composite outcome cRS ≤ 0 [3,40,52].
Figure 3. Forest plot composite outcome cRS ≤ 0 [3,40,52].
Jcm 12 05194 g003
Table 1. Pre-endoscopic risk assessment scores components.
Table 1. Pre-endoscopic risk assessment scores components.
Variables GBSCRSAIMS65HUPSABCpBBSpCSMCPICANUKA
Urea (mmol/L)≥6.5<82 1 1 (5–9.9)
≥8<103 1
≥10<254 1 2 (10–14.9)
3 (≥15)
≥256 1
>10 1
Hemoglobin (g/L) for men<106 1
≥10<123 1
≥12<131 1
Hemoglobin (g/L) for women<1006 1
≥100<1201 1
Systolic blood pressure (SPB) (mmHg)<903 1 3 (<80)
≥90<1002 1 2 (80–99)
<100 2
≥100<110
≥100<1201 1
Shock SBP ≥ 100 and HR < 100/min
SBP ≥ 100 and HR ≥ 100/min
Pulse≥100/min1 1 1
2 (≥125)
HemodynamicsIntermediate 1
Unstable 2
ASA class3 1
≥4 3
Age (years)≥30<50 1 0
≥50<60 2 1 (50–64)
60–69 3 2 (≥65)
≥60<75 1
≥60<80 1
≥70 5
≥75 2
≥80 2
Albumin (g/dL)<3 2
Creatinine (mg/dL)≥1≤1.5 1
>1.5 2
Time (hours)<48 1
In hospital 2
ComorbiditiesMelena1 1
Hematemesis 1
Syncope2 1
Liver disease2 2
Liver cirrhosis 2
Cardiac failure22
Cardiac failure, ischemic heart disease, any major comorbidity 2
Renal failure, liver failure, disseminated malignancy 3
Altered mental status 2
Disseminated malignancy 4 2
2 comorbidities 1
3 comorbidities 2
≥4 comorbidities 3
Illnesses≥1≤2 1
≥3≤4 4
≥5 5
Acute illness 5
Chronic illness 4
ABC: Age, blood tests and comorbidities; ASA: American Anesthesiology Association; CANUKA: Canada—United Kingdom—Adelaide; CRS: Clinical Rockall score; GBS: Glasgow Blatchford score; HUPS: Hemoglobin–Urea–Pulse–Systolic blood pressure score; pBBS: Pre-endoscopic Baylor Bleeding Score; pCSMCP: Pre-endoscopic Cedars-Sinai Medical Center Predictive Index.
Table 2. Details of included studies.
Table 2. Details of included studies.
Study (Country), Type of Study, Quality Score
Cohorts Size
Cohorts SizeReported Low Risk Cut-Offs of Pre-Endoscopic Scores Used in the Analysis
(Number of Patient with a Score above or below the Threshold)
Definition of Patient PopulationOutcome(s) with Extractable Data Used in this Meta-Analysis
Definition (When Available)
Definition of UGIBDefinition of Low-Risk Patients
Ak et al., 2021 [36] (Turkey), Retrospective, Score: 7n = 422AIMS65 ≤ 0: N = 147
AIMS65 > 0: N = 275
Inclusion: patients above the age of 18, who were diagnosed with UGIB and hospitalized after visiting the ED, according to the codes of the International Classification of Diseases (ICD) 10th revision, were included in this study; Exclusion: patients with missing records, patients transferred from other hospitals, patients with variceal bleeding, patients with records of less than 30 days, and patients with a diagnosis other than UGIB after hospitalization were excluded from this studyMortality
30 days follow-up
Hematemesis, melena, or solid clinical evidence and laboratory support for acute blood loss from the upper GI tractDefined as the low-risk cut-offs of pre-endoscopic scores reported
Aquarius et al., 2015 [19] (Netherlands), Prospective,
Score: 7
n = 520GBS ≤ 2: N = 137
GBS > 2: N = 383
Inclusion: all patients of 18 years or older presenting at the ED for suspected UGIB; Exclusion: NAComposite outcome: any endoscopic intervention, surgical, or radiological intervention, or need for blood transfusion.
Rebleeding
Mortality
30 days follow-up
Hematemesis, coffee-ground emesis, and/or melenaDefined as the as low risk cut-offs of pre-endoscopic scores reported
Banister et al., 2018 [20] (UK), Retrospective, Score: 7n = 569GBS ≤ 1: N = 146
GBS > 1: N = 423
Inclusion: patients aged 18 years or over presenting to the ED or ambulatory care centers with a primary suspected diagnosis of acute UGIB; Exclusion: patients with an inpatient bleed, patients missing information, patients who self-discharged or whether the patient died prior to an assessment being made, if on review of their electronic record they did not have either hematemesis or melaena or if they presented with a chronic GI bleedComposite outcome: any endoscopic intervention, surgical, or radiological intervention, or need for blood transfusion.
Endoscopic therapy
Surgery
Radiological intervention
Blood transfusion
Rebleeding
Mortality
30 days follow-up
NADefined as the as low risk cut-offs of pre-endoscopic scores reported
Bryant et al., 2013 [32] (Australia), Prospective,
Score: 6
n = 708cRS ≤ 0: N = 50
cRS > 0: N = NA *
Inclusion: variceal and non-variceal causes of UGIB Endoscopic therapy
30 days follow-up
Hematemesis (including coffee-ground vomiting) and/ or melenaDefined as the low risk cut-offs of pre-endoscopic scores reported
cRS ≤ 1: N = 61
cRS > 1: N = NA *
Chan et al., 2011 [40] (UK), Retrospective, Score: 7n = 432GBS ≤ 0: N: 40
GBS > 0: N: 392
Inclusion: patients aged 18 years or over presenting to the ED with a primary diagnosis of acute UGIB; Exclusion: patients with an inpatient bleed, lower GI bleeding and who were transferred from another hospitalComposite outcome
Endoscopic therapy
Radiologic intervention
Surgery
Rebleeding
Mortality
30 days follow-up
Hematemesis including coffee-ground vomiting and/ or melenaDefined as the low risk cut-offs of pre-endoscopic scores reported
cRS ≤ 0: N: 104
cRS > 0: N: 328
Chatten et al., 2018 [21] (UK), Retrospective, Score: 7n = 399GBS ≤ 0: N = 62
GBS > 0: N = 337
Inclusion: patients over the age of 16 who attended the ED or were inpatients with symptoms of an UGIB; Exclusion: patients who did not have an endoscopyEndoscopic therapy
Radiologic intervention
Surgery
Rebleeding
Mortality
30 days follow-up
Hematemesis or melaenaDefined as the as low risk cut-offs of pre-endoscopic scores reported
GBS ≤ 1: N = 103
GBS > 1: N = 296
GBS ≤ 2: N = 136
GBS > 2: N = 263
Girardin et al., 2014 [22] (Switzerland), Prospectove, Score: 7n = 104GBS ≤ 0: N: 15
GBS > 0: N: 89
Inclusion: patients over 18 years of age with UGIB; Exclusion: pregnancy and hematochezia Transfusion
Endoscopic therapy
Surgery
Rebleeding
Mortality
30 days follow-up
Hematemesis or coffee ground emesis or with melenaDefined as the as low risk cut-offs of pre-endoscopic scores reported
Gralnek et al., 2004 [41] (USA), Retrospective, Score: 7n = 175GBS ≤ 0: N: 14
GBS > 0: N: 161
Inclusion: patients over 18 years of age with UGIB according to ICD-9 codes Exclusion: patient who did not undergo endoscopy, developed bleeding while in the hospital, were transferred from another hospital, or bled from a lower-GI sourceRebleeding
Mortality
NADefined as the as low risk cut-offs of pre-endoscopic scores reported
cRS ≤ 0: N: 21
cRS > 0: N: 154
Jansen et al., 2011 [48] (Netherlands), Retrospective, Score: 5Cohort 1 (n = 103)GBS ≤ 0: N:36
GBS < 0: N:161
Patients had to fulfil all of the following inclusion criteria: (1) presentation at ED with hematemesis, melena, tarry stool or syncope with anemia; (2) diagnosis of acute UGIB was included in the working differential diagnosis formulated by the internist or gastroenterologist; and (3) age over 18 years; Exclusion: patients with signs of chronic bleeding (microcytic anemia)Need for treatment during the period of 28 days following presentation (blood transfusion, surgical, radiological or endoscopic intervention), rebleeding requiring readmission, or when the patient diedHematemesis or melenaDefined as the as low risk cut-offs of pre-endoscopic scores reported
GBS ≤ 1
GBS ≤ 2
Cohort 2 (n = 831)HUPS ≤ 0: N:14
HUPS > 0: N:817
Composite outcome: any endoscopic intervention, surgical, or radiological intervention, or need for blood transfusion.
Surgery
Radiological intervention
Blood transfusion
Rebleeding
Mortality
28 days follow-up
Johnston et al., 2015 [33] (New Zealand), Retrospective, Score: 5n = 388cRS ≤ 0: N: 42
cRS > 0: N: 346
Inclusion: patients who had a gastroscopy with indication of hematemesis or melena; Exclusion: Outpatients, bleeding during hospitalization, and under 16 years of age Endoscopic therapy
Blood transfusion
Surgery
Rebleeding
Mortality
30 days follow-up for mortality and 14 days follow-up for rebleeding
Hematemesis or melenaPatients were considered low risk if they did not fulfilled any primary or secondary outcomes
Jimenez-Rosales et al., 2023 [49] (Spain), Retrospective, Score: 7n = 795GBS ≤ 1: N: 27
GBS > 1: N:768
Inclusion: variceal and non-variceal bleed (including inpatient bleed); Exclusion: refusal to sign the informed consent Mortality
30 days follow-up
Melena and/or hematemesis (including coffee ground vomiting)Defined as the low risk cut-offs of pre-endoscopic scores reported
AIMS65 ≤ 1: N: 477
AIMS65 > 1: N: 318
ABC ≤ 1: N: 334
ABC > 1: N: 461
Kayali et al., 2017 [23] (Turkey), Retrospective, Score: 6n = 188GBS ≤ 2: N: 9
GBS > 2: N: 179
Inclusion: patients aged above 18 with UGIB complaints; Exclusion: NAMortality
Follow-up: NA
NADefined as the as low risk cut-offs of pre-endoscopic scores reported
Kherad et al., 2022 [39] (Canada), Retrospective, Score: 7n = 645ABC ≤ 3: N: 228
ABC > 3: N: 417
Inclusion: all hospitalized patients of at least 18 years of age with a primary or secondary discharge diagnosis of nonvariceal and variceal UGIB using ICD-9 and ICD-10 codes Exclusion: Outpatients and transfers from other hospitalsComposite outcome: any endoscopic intervention, surgical, or angiography, or need for blood transfusion.
Blood transfusion
Rebleeding
Mortality
30 days follow-up
Melena and/or hematemesisDefined as the low-risk cut-offs of pre-endoscopic scores reported
Lahiff et al., 2012 [42] (Ireland), Retrospective, Score: 7n = 200GBS ≤ 0: N: 21
GBS > 0: N: 179
Inclusion: NA; Exclusion: patients with chronic anaemia, those with a lower GI source for bleeding and endoscopies performed for suspected UGIB for in-patientsEndoscopic intervention
Rebleeding
Mortality
30 days follow-up
Hematemesis (fresh blood or coffee-ground emesis), melena and hematocheziaDefined as the as low risk cut-offs of pre-endoscopic scores reported
GBS ≤ 2: N: 57
GBS > 2: N: 143
cRS ≤ 0: N: 42
cRS > 0: N: 158
Laursen et al., 2012 [50] (Denmark), Prospective,
Score: 7
n = 831GBS ≤ 0: N: 96
GBS > 0: N: 735
Inclusion: patients presenting with UGIB while already admitted for other reasons. Exclusion: Patients with UGIB transferred from other hospitalsEndoscopic intervention
Mortality
30 days follow-up
Hematemesis, coffee-ground vomit, or melenaDefined as patients who did not need hospital-based intervention and survived more than 30 days from day of admission
GBS ≤ 2: N: 173
GBS > 2: N: 658
cRS ≤ 0: N: 130
cRS > 0: N: 701
pBBS ≤ 0: N: 26
pBBS > 0: N:805
pBBS ≤ 1: N:86
pBBS > 1: N: 745
pBBS ≤ 2: N: 140
pBBS > 2: N:691
pCSMCPI ≤ 0: N: 26
pCSMCPI > 0: N: 805
Laursen et al., 2015 [24] (Denmark), Prospective,
Score: 7
n = 2305GBS ≤ 0: N: 313
GBS > 0: NA *
Inclusion: Patients with UGIB; Exclusion: patients experiencing UGIB while already inpatients for another reasonTransfusion
Mortality
30 days follow-up
Hematemesis, coffee-ground vomit, or melenaDefined as patients who did not need a blood transfusion or hemostatic intervention, and did not die during the index admission
GBS ≤ 1: N: 562
GBS > 1: NA *
GBS ≤ 2: N: 704
GBS > 2: NA *
Leiman et al., 2017 [25] (USA), Retrospective, Score: 5N = 66GBS ≤ 0: N: 66
GBS > 0: NA *
Inclusion: Diagnosis of UGIB; Exclusion: under age 18, did not report symptoms of UGIB or had a GBS of 1 or more, and those with vital sign or laboratory abnormalities that would preclude them from being low riskEndoscopic therapy
Surgery
Blood transfusion
Mortality
Follow-up: NA
Hematemesis or coffee ground emesisDefined as the as low risk cut-offs of pre-endoscopic scores reported
Lima et al., 2013 [34] (Brazil), Prospective,
Score: 7
n = 656cRS ≤ 0: N: 94
cRS > 0: N: 562
Inclusion: clinical evidence of UGIB or a history of hematemesis, coffee ground vomiting or melena within 24 h preceding the admission; Exclusion: Bleeding from varices or portal hypertensive gastropathyRebleeding
Mortality
30 days follow-up
Hematemesis, coffee ground vomiting or melenaDefined as the low risk cut-offs of pre-endoscopic scores reported
cRS ≤ 1: N: 227
cRS > 1: N: 429
cRS ≤ 2: N: 360
cRS > 2: N: 296
Lu et al., 2020 [37] (China), Retrospective, Score: 6n = 284AIMS65 ≤ 1: N: 200
AIMS65 > 1: N: 84
Inclusion: patients hospitalized within 48 hours of endoscopy and diagnosed with UGIB; Exclusion: (1) insufficient laboratory data for calculating the risk scores; (2) endoscopic examination not performed; (3) hemorrhage other than UGIB; (4) unacceptable specification system treatment, including automatic discharge and transfer of patients; and (5) non-acute UGIB cause deathMortality
Follow-up: NA
NADefined as the low risk cut-offs of pre-endoscopic scores reported
Matsuhashi et al., 2021 [51] (Japan), Retrospective, Score: 6Cohort 1 (n = 1,380)GBS ≤ 1: N: 10
GBS < 1: N: 1370
Inclusion: patients with non-variceal UGIB; Exclusion: (1) bleeding from malignancy and (2) bleeding after endoscopic resectionMortality
Follow-up: NA
Hematemesis, coffee ground vomiting or melenaDefined as the low risk cut-offs of pre-endoscopic scores reported
cRS ≤ 0: N: 129
cRS > 1: N: 1251
AIMS65 ≤ 1: N: 620
AIMS65 > 1: N: 760
ABC ≤ 3: N: 619
ABC > 3: N: 761
Cohort 2 (n = 825)GBS ≤ 1: N: 15
GBS < 1: N: 810
cRS ≤ 0: N: 67
cRS > 1: N: 758
AIMS65 ≤ 1: N: 342
AIMS65 > 1: N: 483
ABC ≤ 3: N: 326
ABC > 3: N: 499
Meltzer et al., 2013 [43] (USA), Retrospective, Score: 6n = 690GBS ≤ 0: N: 63
GBS > 0: N: 627
Inclusion: Patients aged 18 years or older and ED final diagnoses of GI bleed (unspecified) or UGIB (any cause); Exclusion: NAEndoscopic therapy
Follow-up: NA
Hematemesis, coffee ground vomiting or melenaDefined as the as low risk cut-offs of pre-endoscopic scores reported
cRS ≤ 0: N: 122
cRS > 0: N: 568
Mustafa et al., 2015 [26] (UK), Prospective, Score: 7n = 514GBS ≤ 1: N: 183
GBS > 1: N: 331
NAComposite outcome: blood transfusion, endoscopic treatment, radiological intervention or surgery
Endoscopic therapy
Radiologic intervention
Blood transfusion
Surgery
Mortality
Follow-up: 30 days
Hematemesis, coffee-ground vomit or melenaDefined as the as low risk cut-offs of pre-endoscopic scores reported
Oakland et al., 2019 [8] (UK), Retrospective, Score: 6n = 1606GBS ≤ 0: N: 187
GBS > 0: N: 1419
Inclusion: only patients for whom all 3 risk scores (GBS, cRS, CANUKA) could be calculated were included; Exclusion: patients with missing data on any of the variables used to derive the 3 risk scores were excludedEndoscopic therapy
Blood transfusion
Rebleeding
Mortality
Follow-up: 30 days
NADefined clinically as patients who did not require (or experience) any of the following: RBC transfusion, rebleeding, therapeutic endoscopy, interventional radiology or surgery, or mortality.
GBS ≤ 1: N: 381
GBS > 1: N: 1225
cRS ≤ 0: N: 329
cRS > 0: N: 1277
cRS ≤ 1: N: 605
cRS > 1: N: 1001
CANUKA ≤ 0: N: 9
CANUKA > 0: N: 1597
CANUKA ≤ 1: N: 109
CANUKA > 1: N: 1497
Pang et al., 2010 [27] (USA), Prospective, Score: 7n = 1087GBS ≤ 0: N: 50
GBS > 0: N: 1037
Inclusion: Patients with UGIB; Exclusion: patients younger than the age of 18 years and those with primary diagnoses other than UGIB were excluded from the studyEndoscopic therapy
Rebleeding
Mortality
Follow-up: 30 days
Hematemesis, coffee grounds vomiting, melena, or hematocheziaDefined as the as low risk cut-offs of pre-endoscopic scores reported
Park et al., 2015 [38] (South Korea), Retrospective, Score: 7n = 634AIMS65 ≤ 1: N: 434
AIMS65 > 1: N: 200
Inclusion: Any adult (age 18 or older) with any UGIB
Exclusion: upper endoscopy not performed, lower or small bowel bleed, variceal bleed, cancer- or post-procedure bleed
Mortality
Follow-up: NA
Melena, hematemesis and/or hematocheziaDefined as the low-risk cut-offs of pre-endoscopic scores reported
Robins et al., 2007 [28] (UK), Retrospective, Score: 7n = 194GBS ≤ 1: N: 194
GBS > 1: N: NA
Inclusion: Patients with UGIB Exclusion: age greater than 60 years, postural fall in systolic blood pressure greater than 20 mmHg, known esophageal varices, receiving anticoagulation, and social circumstances that prevent discharge within 24 hEndoscopic therapy
Blood transfusion
Follow-up: 30 days
NADefined as the as low risk cut-offs of pre-endoscopic scores reported
Ryan et al., 2021 [31] (Australia), Retrospective, Score: 7n = 181GBS ≤2: N: 49
GBS > 2: N: 132
Inclusion: Patients with UGIB and a GBS was able to be calculated; Exclusion: patients presenting with iron deficiency anemia without evidence of UGIB, confirmation that the source of bleeding was not from the upper GI tract (e.g., oropharynx or lower GI tract) and patients with incomplete data to calculate a GBSEndoscopic therapy
Radiologic intervention
Surgery
Rebleeding
Mortality
Follow-up: 30 days
Hematemesis, coffee grounds vomiting, or melena,Defined as the low-risk cut-offs of pre-endoscopic scores reported
Samreen et al., 2016 [29] (Pakistan), Retrospective, Score: 6n = 280GBS ≤2: N: 51
GBS > 2: N: 229
Inclusion: patients age > 18 year old presenting to the ED with UGIB of any cause (variceal or non-variceal); Exclusion: patients with age < 18 years and those not admitted through emergency were excludedEndoscopic therapy
Follow-up: NA
Hematemesis, melena or bloody nasogastric tube aspirateDefined as the as low risk cut-offs of pre-endoscopic scores reported
Sasaki et al., 2022 [45] (Japan), Retrospective, Score: 7n = 675GBS ≤ 1: N: 39
GBS > 1: N: 636
Inclusion: patients with suspected non-variceal UGIB Endoscopic therapyHematemesis, black stool, syncope, and anemiaDefined as the low-risk cut-offs of pre-endoscopic scores reported
AIMS65 ≤ 1: N: 312
AIMS65 > 1: N: 363
Schiefer et al., 2012 [52] (Netherlands), Retrospective, Score: 7n = 478GBS ≤ 0: N: 39
GBS > 0: N: 439
Inclusion: all patients presenting to the ED with suspected UGIB; Exclusion: symptomatic anemia from chronic GI bleeding, and under 18 years of age Composite outcome: endoscopic therapy, surgical or radiological treatment, receiving blood transfusion.
Endoscopic therapy
Follow-up: 28 days
Hematemesis or melena, or unexplained acute drop in hemoglobin levelDefined as the low-risk cut-offs of pre-endoscopic scores reported
GBS ≤ 2: N: 104
GBS > 2: N: 374
cRS ≤ 0: N: 67
cRS > 0: N: 411
HUPS ≤ 0: N: 56
HUPS > 0: N: 422
Shrestha et al., 2014 [44] (Nepal), Prospective,
Score: 7
n = 589GBS ≤ 0: N: 12
GBS > 0: N: 577
Inclusion: all UGIB patients from both inpatients and outpatients; Exclusion: patients presenting with chronic anemia and those with a lower GI source for bleeding Blood transfusion
Surgery
Rebleeding
Mortality
Follow-up: 30 days
Hematemesis, melena, nasogastric aspirate containing blood and hematochezia caused by the blood loss from the upper GI tract. Defined as the low-risk cut-offs of pre-endoscopic scores reported
GBS ≤ 1: N: 42
GBS > 1: N: 547
GBS ≤ 2: N: 76
GBS > 2: N: 513
cRS ≤ 0: N: 122
cRS > 0: N: 467
cRS ≤ 1: N: 203
cRS > 1: N: 386
cRS ≤ 2: N: 320
cRS >2: N: 269
Stanley et al., 2009 [3] (UK), Prospective, Score: 7Cohort 1 (n = 676)GBS ≤ 0: N: 105
GBS > 0: N: 551
Inclusion: patients with UGIB; Exclusion: inpatients with UGIB
Exclusion: NA
Composite outcome: blood transfusion, endoscopic treatment, or surgery
Endoscopic therapy
Blood transfusion
Surgery
Mortality
Follow-up: 6 months
Defined as hematemesis coffee-ground vomit, or melenaDefined as the as low risk cut-offs of pre-endoscopic scores reported
cRS ≤ 0: N: 184
cRS > 0: N: 492
Cohort 2 (n = 572)GBS ≤ 0: N: 123
GBS > 0: N: 449
Stanley et al., 2017 [14] (UK), Prospective, Score: 7n = 2868GBS ≤ 1: N: 564
GBS > 1: N: 2304
Inclusion: patients with UGIB; Exclusion: patients who developed UGIB while an inpatient for another reasonEndoscopic therapy
Blood transfusion
Mortality
Follow-up: 30 days
Hematemesis, coffee-ground vomiting, or melenaDefined as the low-risk cut-offs of pre-endoscopic scores reported
cRS ≤ 0: N: 436
cRS > 0: N: 2432
AIMS65 ≤ 0: N: 865
AIMS65 > 0: N: 2003
Stephens et al., 2009 [30] (UK), Prospective,
Score: 7
Cohort 1 (n = 232)GBS ≤ 0: N: 29
GBS > 0: N: 203
Inclusion: patients with UGIB; Exclusion: patients who have UGIB while an inpatient in hospital for another cause and those home alone whatever their GBS wasEndoscopic therapy
Blood transfusion
Surgery
Mortality
Follow-up: 4 -6 weeks
Hematemesis (including coffee ground vomiting) and/or melena Patients with ‘low-risk’ UGIB fulfilling the above criteria were considered for management in the community
GBS ≤ 1: N: 53
GBS > 1: N: 179
GBS ≤ 2: N: 66
GBS > 2: N: 166
Cohort 2 (n = 304)GBS ≤ 0: N: 46
GBS > 0: N: 258
Inclusion: patients with UGIB and GBS ≤2 and age <70 years, were accompanied at home; had a telephone and transport; had no active significant comorbidities; were not taking warfarin and did not have suspected variceal bleeding; Exclusion: NA
GBS ≤ 1: N: 93
GBS > 1: N: 211
GBS ≤ 2: N: 123
GBS > 2: N: 181
Tham et al., 2006 [35] (UK), Retrospective, Score: 6n = 102cRS ≤ 0: N: 38
cRS > 0: N: 64
Inclusion: acute non-variceal UGIB were identified using ICD-9 codes; Exclusion: NABlood transfusion
Surgery
Rebleeding
Mortality
Follow-up: NA
NAA clinical Rockall Score of 0 was considered ‘‘low risk’’ for adverse outcomes (recurrent bleeding and mortality) related to acute upper gastrointestinal hemorrhage
cRS ≤ 1: N: 51
cRS > 1: N: 51
cRS ≤ 2: N: 67
cRS > 2: N: 35
Thanapirom et al., 2012 [53] (Thailand), Prospective,
Score: 6
n = 756GBS ≤ 2: N: 99
GBS > 2: N: 657
Inclusion: Patients with UGIB; Exclusion: patients who refused endoscopic examination Rebleeding
Mortality
Follow-up: 30 days
Hematemesis (including coffee-ground vomiting), melena, and hematocheziaDefined as the low-risk cut-offs of pre-endoscopic scores reported
Yaka et al., 2015 [46] (Turkey), Prospective,
Score: 7
n = 254GBS ≤ 0: N: 16
GBS > 0: N: 238
Inclusion: Adult patients with UGIB (variceal and non-variceal) Adult; Exclusion: Patients who received any treatment at another institution, visited the ED due to a rebleeding episode from a prior upper GI bleeding, had incomplete data for score calculation or outcome determination, or whose source of bleeding was the lower GI tract Endoscopic therapy
Blood transfusion
Surgery
Follow-up: 30 days
Hematemesis, “coffee-ground” vomit, melena, hematocheziaPatients who did not require blood transfusions or suffer the composite clinical outcomes were considered low-risk patients.
GBS ≤ 2: N: 48
GBS > 2: N: 206
AIMS65 ≤ 0: N: 101
AIMS65 > 0: N: 153
Zhong et al., 2016 [47] (China), Prospective,
Score: 6
Cohort 1 (n = 320)GBS ≤ 2: N: 101
GBS > 2: N: 219
Inclusion: patients aged >18 years who were admitted with acute UGIB; Exclusion: (i) recurrent episode of acute UGIB during the study period; (ii) patients diagnosed as non-acute UGIB (iii) patients with incomplete emergency medical data for the calculation of GBS, and AIMS65 score; (iv) patients who had received treatments at other institutions; (v) patients in whom the bleeding source was confirmed to be the lower GI tractRebleeding
Mortality
Follow-up: NA
Hematemesis, coffee- ground vomitus, melena, and/or hematochezia Defined as the low-risk cut-offs of pre-endoscopic scores reported
AIMS65 ≤ 1: N: 134
AIMS65 > 1: N: 136
ABC: Age, blood tests and comorbidities; ED: Emergency department; NA: Not available; UGIB: Upper gastrointestinal bleed; GBS: Glasgow Blatchford Score; cRS: Clinical Rockall score; LOS: Length of stay; ICU: Intensive care unit; pBBS: Pre-endoscopic Baylor Bleeding Score; pCSMCP: Pre-endoscopic Cedars-Sinai Medical Center Predictive Index; HUPS: Hemoglobin–Urea–Pulse–Systolic blood pressure score; CANUKA: Canada—United Kingdom—Adelaide; * Study only used for proportion meta-analysis.
Table 3. Primary and secondary outcomes for risk assessment scores (expressed as proportions).
Table 3. Primary and secondary outcomes for risk assessment scores (expressed as proportions).
GBS
Proportion (95% CI)
CRS
Proportions (95% CI)
AIMS65
Proportions (95% CI)
ABC
Proportions (95% CI)
0≤1≤20≤1≤20≤1≤1≤3
Composite outcome0.02 (0.01–0.05)
I2 = 0%
Studies = 4
N = 347
0.04 (0.02–0.09)
I2 = 49%
Studies = 2
N = 237
0.03 (0.02–0.07)
I2 = 43%
Studies = 3
N = 348
0.19 (0.15–0.24)
I2 = 71%
Studies = 3
N = 355
NANANANANA0.69 (0.62; 0.75)
I2 = NA
Studies = 1
N = 228
Mortality(0.01–0.03)
I2 = 0%
Studies = 14
N = 1200
(0.00–0.01)
I2 = 0%
Studies = 10
N = 2179
NA(0.00–0.02)
I2 = 0%
Studies = 11
N = 1634
(0.00–0.01)
I2 = 0%
Studies = 4
N = 1086
0.02 (0.01–0.04)
I2 = 0%
Studies = 3
N = 747
(0.01–0.02)
I2 = 78%
Studies = 2
N = 1012
0.04 (0.03–0.05)
I2 = 89%
Studies = 7
N = 2788
0.30 (0.25; 0.36)
I2 = NA
Studies = 1
N = 312
0.02 (0.01; 0.03)
I2 = 73%
Studies = 2
N = 1173
Rebleeding0.02 (0.01–0.04)
I2 = 0%
Studies = 9
N = 428
(0.01–0.03)
I2 = 0%
Studies = 4
N = 672
0.03 (0.02–0.06)
I2 = 52%
Studies = 8
N = 703
0.04 (0.03–0.06)
I2 = 46%
Studies = 7
N = 688
0.05 (0.04–0.06)
I2 = 67%
Studies = 4
N = 1086
0.07 (0.05–0.09)
I2 = 67%
Studies = 3
N = 747
NA0.31 (0.24–0.39)
I2 = 98%
Studies = 2
N = 281
NA0.11 (0.07; 0.15)
I2 = NA
Studies = 1
N = 228
Blood transfusion(0.01–0.03)
I2 = 0%
Studies = 8
N = 923
NA0.04 (0.03–0.06)
I2 = 88%
Studies = 4
N = 1037
0.14 (0.12–0.16)
I2 = 86%
Studies = 7
N = 1255
0.22 (0.20–0.25)
I2 = 95%
Studies = 3
N = 859
0.48 (0.43–0.54)
I2 = 97%
Studies = 2
N = 387
0.20 (0.18–0.23)
I2 = 70%
Studies = 2
N = 966
NANA0.60 (0.53; 0.66)
I2 = NA
Studies = 1
N = 228
Endoscopic intervention 0.02 (0.01–0.03)
I2 = 0%
Studies = 13
N = 969
0.02 (0.01–0.02)
I2 = 0%
Studies = 8
N = 1756
0.06 (0.04–0.09)
I2 = 76%
Studies = 8
N = 807
0.08 (0.07–0.10)
I2 = 0%
Studies = 8
N = 1255
0.15 (0.12–0.18)
I2 = 94%
Studies = 2
N = 666
NA0.12 (0.10–0.15)
I2 = 0%
Studies = 2
N = 966
0.30 (0.25–0.36)
I2 = NA (1 study)
Study = 1
N = 312
NANA
Surgical intervention(0.01–0.03)
I2 = 0%
Studies = 8
N = 525
(0.00–0.02)
I2 = 0%
Studies = 5
N = 620
(0.00–0.02)
I2 = 0%
Studies = 5
N = 498
(0.00–0.03)
I2 = 0%
Studies = 4
N = 306
(0.00–0.03)
I2 = 0%
Studies = 2
N = 254
(0.00–0.02)
I2 = 0%
Studies = 2
N = 387
(0.00–0.04)
I2 = NA (1 study)
Study = 1
N = 101
NANANA
Radiological intervention 0.01 (0.00–0.07)
I2 = 0%
Studies = 2
N = 102
0.00(0.00–0.02)
I2 = 0%
Studies = 3
N = 432
0.01 (0.00–0.04)
I2 = 0%
Studies = 2
N = 185
NANANANANANANA
Results expressed as proportions (95% confidence interval); NA: Not available.
Table 4. Primary and secondary outcomes for risk assessment scores comparing low-risk to higher-risk patients (expressed as odds ratio).
Table 4. Primary and secondary outcomes for risk assessment scores comparing low-risk to higher-risk patients (expressed as odds ratio).
GBS
OR (95% CI)
CRS
OR (95% CI)
AIMS65
OR (95% CI)
ABC
OR (95% CI)
Outcomes0≤1≤20≤1≤20≤1≤3
Composite outcome0.02
(0.00–0.16)
Studies = 1 (n = 478)
0.00
(0.00–0.02)
Studies = 1 (n = 569)
0.01
(0.00–0.04)
Studies = 2 (n = 1102)
0.17
(0.08–0.34)
Studies = 1 (n = 545)
NRNRNRNR0.42
(0.29, 0.62)
Studies = 1 (n = 645)
Mortality0.27
(0.09–0.97)
Studies = 7 (n = 1880)
0.06
(0.02–0.20)
Studies = 9 (n = 5607)
0.11
(0.04–0.27)
Studies = 8 (n = 2467)
0.18
(0.08–0.43)
Studies = 6 (n = 3940)
0.13
(0.05–0.34)
Studies = 3 (n = 1347)
0.28
(0.16–0.50)
Studies = 3 (n = 1347)
0.27
(0.09–0.78)
Studies = 1 (n = 422)
0.13
(0.09–0.18)
Studies = 7 (n = 4430)
0.10
(0.06; 0.17)
Studies = 2 (n = 2750)
Rebleeding0.26
(0.07–0.91)
Studies = 5 (n = 1450)
0.09
(0.01–0.68)
Studies = 2 (n = 988)
0.24
(0.05–1.01)
Studies = 4 (n = 1189)
0.41 (0.10–1.63)
Studies = 4 (n = 1735)
0.71
(0.45–1.11)
Studies = 3 (n = 1347)
0.50
(0.15–1.67)
Studies = 3 (n = 1347)
NR0.30
(0.04–2.37)
Studies = 2 (n = 512)
0.47
(0.29; 0.79)
Studies = 1 (n = 645)
Blood transfusion0.03
(0.01–0.08)
Studies = 6 (n = 1587)
0.01
(0.00–0.03)
Studies = 5 (n = 2208)
0.01
(0.01–0.04)
Studies = 3 (n = 810)
0.28
(0.19–0.40)
Studies = 3 (n = 1079)
0.16
(0.03–0.80)
Studies = 2 (n = 691)
0.30
(0.04–2.13)
Studies = 2 (n = 691)
0.12
(0.07–0.21)
Studies = 1 (n = 254)
NR0.47
(0.33; 0.66)
Studies = 1 (n = 645)
Endoscopic intervention 0.04
(0.02–0.11)
Studies = 7 (n = 2484)
0.02
(0.01–0.05)
Studies = 6 (n = 2693)
0.07
(0.04–0.13)
Studies = 6 (n = 1650)
0.53
(0.20–1.41)
Studies = 1 (n = 388)
NRNR0.48
(0.24–0.96)
Studies = 1 (n = 254)
0.78
(0.57–1.08)
Studies = 1 (n = 675)
NR
Surgical intervention0.93
(0.30–2.86)
Studies = 7 (n = 1986)
0.19
(0.06–0.60)
Studies = 6 (n = 2607)
0.27
(0.07–0.97)
Studies = 5 (n = 1778)
0.37
(0.07–2.05)
Studies = 3 (n = 1079)
0.17
(0.02–1.42)
Studies = 2 (n = 691)
0.29
(0.07–1.25)
Studies = 2 (n = 691)
0.13
(0.01–2.43)
Studies = 1 (n = 254)
NRNR
Radiological intervention 1.07
(0.05–22.6)
Studies = 1 (n = 399)
0.20
(0.04–1.10)
Studies = 3 (n = 1482)
0.38
(0.02–8.04)
Studies = 1 (n = 399)
NRNRNRNRNRNR
Results expressed as odds ratios (95% confidence intervals) demonstrating the likelihood of achieving outcomes amongst patient with a risk score below versus above the given threshold. NR: Not reported.
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MDPI and ACS Style

Boustany, A.; Alali, A.A.; Almadi, M.; Martel, M.; Barkun, A.N. Pre-Endoscopic Scores Predicting Low-Risk Patients with Upper Gastrointestinal Bleeding: A Systematic Review and Meta-Analysis. J. Clin. Med. 2023, 12, 5194. https://doi.org/10.3390/jcm12165194

AMA Style

Boustany A, Alali AA, Almadi M, Martel M, Barkun AN. Pre-Endoscopic Scores Predicting Low-Risk Patients with Upper Gastrointestinal Bleeding: A Systematic Review and Meta-Analysis. Journal of Clinical Medicine. 2023; 12(16):5194. https://doi.org/10.3390/jcm12165194

Chicago/Turabian Style

Boustany, Antoine, Ali A. Alali, Majid Almadi, Myriam Martel, and Alan N. Barkun. 2023. "Pre-Endoscopic Scores Predicting Low-Risk Patients with Upper Gastrointestinal Bleeding: A Systematic Review and Meta-Analysis" Journal of Clinical Medicine 12, no. 16: 5194. https://doi.org/10.3390/jcm12165194

APA Style

Boustany, A., Alali, A. A., Almadi, M., Martel, M., & Barkun, A. N. (2023). Pre-Endoscopic Scores Predicting Low-Risk Patients with Upper Gastrointestinal Bleeding: A Systematic Review and Meta-Analysis. Journal of Clinical Medicine, 12(16), 5194. https://doi.org/10.3390/jcm12165194

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