Evidence map›Paper›PMID 42787660›Full record

ArticleResearch and practice in thrombosis and haemostasis2026

External validation of the Intermountain Risk Scores for postdischarge thrombosis and bleeding in an independent population.

Mansour Gergi, Katherine S Wilkinson, Nicholas Roetker, Karlyn Martin, Allen B Repp, Neil A Zakai

Abstract readValidation Study
In one paragraph

Article in Research and practice in thrombosis and haemostasis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mansour GergiDivision of Hematology/Oncology, Department of Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.
Katherine S WilkinsonDivision of Hematology/Oncology, Department of Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.
Nicholas RoetkerChronic Disease Research Group, Hennepin Healthcare Research Institute, Minneapolis, Minnesota, USA.
Karlyn MartinDivision of Hematology/Oncology, Department of Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.
Allen B ReppDivision of Hematology/Oncology, Department of Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.
Neil A ZakaiDivision of Hematology/Oncology, Department of Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.

Funding

Vermont Center for Cardiovascular and Brain HealthP20GM135007 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI Diego Adrianzen Herrera · 2020 to 2026
$17.4M
Thrombosis and Bleeding Risk Assessment in Medical InpatientsR01HL141290 · NHLBI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI Deirdra R Terrell, Neil Adrian Zakai · 2019 to 2026
$3.5M
NHLBI NIH HHS R01 HL141290NIGMS NIH HHS P20 GM135007
6 · The paper itself

Abstract

Background: Extended thromboprophylaxis after medical hospitalization has not consistently shown benefit, largely due to increased bleeding events. Accurate prediction of postdischarge (PD) venous thromboembolism (VTE) and bleeding risk is therefore essential. The Intermountain Risk Scores (IMRSs) were developed to predict 90-day risks of these outcomes following discharge. Objectives: To assess the predictive performance and external validity of the IMRSs in an independent cohort. Methods: We retrospectively identified adults discharged alive from medical hospitalizations at an academic medical center between 2010 and 2019. PD VTE and bleeding events were identified using validated computable phenotypes. IMRSs were calculated using data at discharge, with missing data addressed via multiple imputation. We determined the observed risks of VTE and bleeding in our cohort for low- and high-risk patients and compared these with the corresponding risks reported in the original cohort and evaluated model discrimination by estimating the time-dependent area under the receiver operating characteristic curve. Results: Among 14,556 discharges, 108 PD VTE and 373 PD bleeding events occurred within 90 days. The observed risk for high-risk and low-risk categories was 0.9% and 0.5% for VTE (hazard ratio 1.51; 95% CI, 0.88-2.59) and 4.2% and 1.8% for bleeding (hazard ratio 2.51; 95% CI, 2.04-3.08), respectively. Discrimination was poor for both outcomes (area under the receiver operating characteristic curve 0.55 for VTE; 0.60 for bleeding). Conclusion: The IMRSs demonstrated limited discrimination in this external cohort. These findings suggest that the IMRSs may not be generalizable to all medical populations and highlight the need for more robust risk-stratification tools.

Indexed as

HemorrhagePatient DischargeVenous ThromboembolismAdultAgedAnticoagulantsFemaleHumansMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsRetrospective StudiesRisk AssessmentRisk FactorsAnticoagulantshemorrhagehospitalizationpatient dischargerisk factorsthrombosis

Identifiers

PMID42787660
PMCPMC13602711

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.