Trial reportThe American journal of medicine2016
Assessing the Caprini Score for Risk Assessment of Venous Thromboembolism in Hospitalized Medical Patients.
Trial report in The American journal of medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 6 of them syntheses 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
56 citing papers in PubMed, 6 syntheses or guidelines pooled it, 127 citations in OpenAlex.
- Chinese expert consensus on prevention, diagnosis, and management of venous thromboembolism in adult burn patients (2024).Military Medical Research · 2025Guideline
- Evaluation of venous thromboembolism risk assessment models for hospital inpatients: the VTEAM evidence synthesis.Health technology assessment (Winchester, England) · 2024Pooled it
- Systematic review of venous thromboembolism risk categories derived from Caprini score.Journal of vascular surgery. Venous and lymphatic disorders · 2022Pooled it
- Risk assessment models for venous thromboembolism in hospitalised adult patients: a systematic review.BMJ open · 2021Pooled it
- Risk models for VTE and bleeding in medical inpatients: systematic identification and expert assessment.Blood advances · 2020Pooled it
- Pooled it
- [Prevention of venous thromboembolism in orthopaedics and traumatology: Austrian interdisciplinary consensus statement 2026].Wiener klinische Wochenschrift · 2026Article
- Evolution of the Caprini risk assessment score: 1991 to present: A living risk assessment tool.Journal of vascular surgery. Venous and lymphatic disorders · 2026Article
- Accuracy of nurses' Caprini risk assessment for venous thromboembolism: a simulation-based observational study in China.BMC nursing · 2026Article
- When and How Grid-Based Information Management for VTE Prevention: Boundary Conditions and Configurational Pathways from a Mixed-Methods Study.Journal of multidisciplinary healthcare · 2026Article
- Pushing the boundaries - perioperative risk assessment and short-term surgical outcomes in octogenarian patients with head and neck cancer: comparison with non-oncological elderlies.Frontiers in oncology · 2026Article
- Sex Differences Regarding the Risk of Incident Venous Thromboembolism in Hospitalized Patients with an Acute Exacerbation of Chronic Obstructive Pulmonary Disease.Journal of atherosclerosis and thrombosis · 2025Article
- Clinical Audit on Venous Thromboembolism (VTE) Risk Assessment and Guideline Adherence in Surgical Practice.Cureus · 2025Article
- Article
- Inflammatory Biomarkers as Predictors of Symptomatic Venous Thromboembolism in Hospitalized Patients with AECOPD: A Multicenter Cohort Study.Journal of atherosclerosis and thrombosis · 2025Article
- Predicting a failure of postoperative thromboprophylaxis in non-small cell lung cancer: A stacking machine learning approach.PloS one · 2025Article
- Using machine learning models to predict post-revascularization thrombosis in PAD.Frontiers in artificial intelligence · 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
- Validation of risk assessment scores in predicting venous thromboembolism in patients with lung cancer receiving immune checkpoint inhibitors.BMC pulmonary medicine · 2024Article
- Impact of Clinical Decision Support with Mandatory versus Voluntary Venous Thromboembolism Risk Assessment in Hospitalized Patients.TH open : companion journal to thrombosis and haemostasis · 2024Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe optimal approach to assess risk of venous thromboembolism in hospitalized medical patients is unknown. We examined how well the Caprini risk assessment model predicts venous thromboembolism in hospitalized medical patients.
methodsBetween January 2011 and March 2014, venous thromboembolism events and risk factors were collected from non-intensive care unit medical patients hospitalized in facilities across Michigan. After calculation of the Caprini score for each patient, mixed logistic spline regression was used to determine the predicted probabilities of 90-day venous thromboembolism by receipt of pharmacologic prophylaxis across the Caprini risk continuum.
resultsA total of 670 (1.05%) of 63,548 eligible patients experienced a venous thromboembolism event within 90 days of hospital admission. The mean Caprini risk score was 4.94 (range, 0-28). Predictive modeling revealed a consistent linear increase in venous thromboembolism for Caprini scores between 1 and 10; estimates beyond a score of 10 were unstable. Receipt of pharmacologic prophylaxis resulted in a modest decrease in venous thromboembolism risk (odds ratio, 0.85; 95% confidence interval, 0.72-0.99; P = .04). However, the low overall incidence of venous thromboembolism led to large estimates of numbers needed to treat to prevent a single venous thromboembolism event. A Caprini cut-point demonstrating clear benefit of prophylaxis was not detected.
conclusionsAlthough a linear association between the Caprini risk assessment model and the risk of venous thromboembolism was noted, an extremely low incidence of venous thromboembolism events in non-intensive care unit medical patients was observed. The Caprini risk assessment model was unable to identify a subset of medical patients who benefit from pharmacologic prophylaxis.
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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.