ArticleBlood advances2020
Risk-assessment models for VTE and bleeding in hospitalized medical patients: an overview of systematic reviews.
Article in Blood advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05498142 (Predicting the Risk of Venous Thromboembolism in Critically Ill Patients), which is not on this map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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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.
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.
Predicting the Risk of Venous Thromboembolism in Critically Ill Patients: Validation of Pre-existing Risk Prediction Models and Development of a Prediction Model
Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.
- Pharmacologic Thromboprophylaxis in Medical Inpatients: A Systematic Review and Network Meta-Analysis.JAMA network open · 2026Pooled it
- Development and validation of a risk assessment model for hospital-acquired venous thrombosis in medical in-patients with cancer.Journal of thrombosis and haemostasis : JTH · 2026Article
- Comparing venous thromboembolism (VTE) prophylaxis and bleeding risks: low molecular weight heparin vs. unfractionated heparin in open repairs of large hernias.Surgical endoscopy · 2026Article
- VTE risk assessment in trauma patients: a comparative analysis of Caprini, Trauma Embolic Scoring System, and Greenfield Risk Assessment profile models in a single sample.Journal of thrombosis and thrombolysis · 2026Article
- Development and validation of risk models for hospital-acquired bleeding in medical inpatients: the Medical Inpatients Thrombosis and Hemostasis (MITH) study.Journal of thrombosis and haemostasis : JTH · 2026Article
- Development and validation of an explainable machine learning model for predicting postoperative venous thromboembolism in esophageal cancer.International journal of surgery (London, England) · 2026Article
- Derivation of a novel risk assessment model of venous thromboembolism in hospitalized patients.PeerJ · 2026Article
- Risk assessment models for venous thromboembolism in surgical inpatients: a multicenter retrospective cohort study.European journal of medical research · 2025Article
- Machine learning models predict risk of lower extremity deep vein thrombosis in hospitalized patients with spontaneous intracerebral hemorrhage.Scientific reports · 2025Article
- Risk assessment models: considerations prior to use in clinical practice.Eye (London, England) · 2025Article
- Finding individualised treatment in obese needing enoxaparin (FIT ONE): a multicentre study of therapeutic enoxaparin and the role of anti-factor Xa monitoring.Journal of thrombosis and thrombolysis · 2025Article
- A composite risk assessment model for venous thromboembolism.Journal of vascular surgery. Venous and lymphatic disorders · 2025Article
- Factors associated with venous thromboembolism pharmacoprophylaxis initiation in hospitalized medical patients: the Medical Inpatients Thrombosis and Hemostasis study.Journal of thrombosis and haemostasis : JTH · 2024Article
- Risk Assessment Models for Venous Thromboembolism in Medical Inpatients.JAMA network open · 2024Article
- Validation of the International Medical Prevention Registry on Venous Thromboembolism (IMPROVE) risk scores for venous thromboembolism and bleeding in an independent population.Research and practice in thrombosis and haemostasis · 2024Article
- Article
- Ability of Caprini and Padua risk-assessment models to predict venous thromboembolism in a nationwide Veterans Affairs study.Journal of vascular surgery. Venous and lymphatic disorders · 2024Article
- Development and validation of a risk model for hospital-acquired venous thrombosis: the Medical Inpatients Thrombosis and Hemostasis study.Journal of thrombosis and haemostasis : JTH · 2024Article
- Prediction of bleeding in patients being considered for venous thromboembolism prophylaxis.Journal of vascular surgery. Venous and lymphatic disorders · 2023Article
- A need to refine venous thromboembolism risk assessment: the challenge of optimizing patient selection for thromboprophylaxis among hospitalized adults.Research and practice in thrombosis and haemostasis · 2023Article
Corrections and comments
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Authors and funding
21 authors at 11 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple risk-assessment models (RAMs) for venous thromboembolism (VTE) in hospitalized medical patients have been developed. To inform the 2018 American Society of Hematology (ASH) guidelines on VTE, we conducted an overview of systematic reviews to identify and summarize evidence related to RAMs for VTE and bleeding in medical inpatients. We searched Epistemonikos, the Cochrane Database, Medline, and Embase from 2005 through June 2017 and then updated the search in January 2020 to identify systematic reviews that included RAMs for VTE and bleeding in medical inpatients. We conducted study selection, data abstraction and quality assessment (using the Risk of Bias in Systematic Reviews [ROBIS] tool) independently and in duplicate. We described the characteristics of the reviews and their included studies, and compared the identified RAMs using narrative synthesis. Of 15 348 citations, we included 2 systematic reviews, of which 1 had low risk of bias. The reviews included 19 unique studies reporting on 15 RAMs. Seven of the RAMs were derived using individual patient data in which risk factors were included based on their predictive ability in a regression analysis. The other 8 RAMs were empirically developed using consensus approaches, risk factors identified from a literature review, and clinical expertise. The RAMs that have been externally validated include the Caprini, Geneva, IMPROVE, Kucher, and Padua RAMs. The Padua, Geneva, and Kucher RAMs have been evaluated in impact studies that reported an increase in appropriate VTE prophylaxis rates. Our findings informed the ASH guidelines. They also aim to guide health care practitioners in their decision-making processes regarding appropriate individual prophylactic management.
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Registered trials
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.