SynthesisBlood advances2020
Risk models for VTE and bleeding in medical inpatients: systematic identification and expert assessment.
Synthesis in Blood advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.
- Evaluation of venous thromboembolism risk assessment models for hospital inpatients: the VTEAM evidence synthesis.Health technology assessment (Winchester, England) · 2024Pooled it
- Thrombotic and Hemorrhagic Incidences in Patients After Discharge from COVID-19 Infection: A Systematic Review and Meta-Analysis.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisPooled it
- 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
- Construction and application of a smart hospital platform-based VTE risk management system.Frontiers in public health · 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
- Risk factors for venous thrombosis after discharge from medical hospitalizations: the Medical Inpatient Thrombosis and Hemostasis study.Journal of thrombosis and haemostasis : JTH · 2025Article
- Risk assessment models: considerations prior to use in clinical practice.Eye (London, England) · 2025Article
- Observational
- Association between Active Cancer and Risk of Thrombotic and Cardiovascular Outcomes in Outpatients with COVID-19: A CORONA-VTE Network Analysis.TH open : companion journal to thrombosis and haemostasis · 2025Article
- Venous thromboembolism performance measurement in the United States: An evolving landscape with many stakeholders.Journal of hospital medicine · 2024Review
- Comparison of the PADUA and IMPROVE scores in assessing venous thromboembolism risk in 42,257 medical inpatients in China.Journal of thrombosis and thrombolysis · 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
- 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
- Application of artificial neural network in daily prediction of bleeding in ICU patients treated with anti-thrombotic therapy.BMC medical informatics and decision making · 2023Article
- Venous thromboembolism prophylaxis for hospitalized adult patients: a survey of US health care providers on attitudes and practices.Research and practice in thrombosis and haemostasis · 2023Article
- Epidemiology and prevention of venous thromboembolism.Nature reviews. Cardiology · 2023Review
- Biomarker derived risk scores predict venous thromboembolism and major bleeding among patients with COVID-19.Research and practice in thrombosis and haemostasis · 2022Article
- Article
Corrections and comments
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Authors and funding
19 authors at 12 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Risk assessment models (RAMs) for venous thromboembolism (VTE) and bleeding in hospitalized medical patients inform appropriate use of thromboprophylaxis. Our aim was to use a novel approach for selecting risk factors for VTE and bleeding to be included in RAMs. First, we used the results of a systematic review of all candidate factors. Second, we used the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach to assess the certainty of the evidence for the identified factors. Third, we using a structured approach to select factors to develop the RAMs, by building on clinical and methodological expertise. The expert panel made judgments on whether to include, potentially include, or exclude risk factors, according to domains of the GRADE approach and the Delphi method. The VTE RAM included age >60 years, previous VTE, acute infections, immobility, acute paresis, active malignancy, critical illness, and known thrombophilia. The bleeding RAM included age ≥65 years, renal failure, thrombocytopenia, active gastroduodenal ulcers, hepatic disease, recent bleeding, and critical illness. We identified acute infection as a factor that was not considered in widely used RAMs. Also, we identified factors that require further research to confirm or refute their importance in a VTE RAM (eg, D-dimer). We excluded autoimmune disease which is included in the IMPROVE (International Medical Prevention Registry on Venous Thromboembolism) bleeding RAM. Our results also suggest that sex, malignancy, and use of central venous catheters (factors in the IMPROVE bleeding RAM) require further research. In conclusion, our study presents a novel approach to systematically identifying and assessing risk factors to be included or further explored during RAM development.
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