SynthesisJournal of thrombosis and thrombolysis2017
A systematic review of mobility/immobility in thromboembolism risk assessment models for hospitalized patients.
Synthesis in Journal of thrombosis and thrombolysis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed, 20 citations in OpenAlex.
- Morbidity and Mortality Rates in People with Diabetes Mellitus With an Active Charcot's Neuro-Osteoarthropathy: A 15-Year Single-Center Retrospective Analysis.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026Article
- Development and validation of a machine learning model for predicting preoperative deep vein thrombosis in elderly hip fracture patients.Frontiers in medicine · 2026Article
- The Level of Markers Stimulating Growth Factor 2 (ST2), N-Terminal Prohormone of Brain Natriuretic Peptide (NT-proBNP), and D-Dimer in Healthy Volunteer Testers in 21-Day Head-Down -6° Tilt Bed Rest as a Model of Hypodynamia.Bulletin of experimental biology and medicine · 2024Article
- Impact of Perioperative Thromboembolic Complications on Future Long-term Risk of Venous Thromboembolism among Medicare Beneficiaries Undergoing Complex Gastrointestinal Surgery.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2021Article
- Venous thromboembolism in non-COVID-19 population during the pandemic: a nationwide multicenter retrospective survey.Journal of thrombosis and thrombolysis · 2021Article
- Implementation of automatic data extraction from an enterprise database warehouse (EDW) for validating pediatric VTE decision rule: a prospective observational study in a critical care population.Journal of thrombosis and thrombolysis · 2020Observational
- Giant Left Ventricular Thrombus in a Patient with Acute Ischemic Stroke: A Case Report and Minireview.Case reports in cardiology · 2018Article
- Venous Thromboembolism During Treatment with Antipsychotics: A Review of Current Evidence.CNS drugs · 2018Review
- Pediatric Hospital Acquired Venous Thromboembolism.Frontiers in pediatrics · 2017Review
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hospitalized patients are at risk of venous thromboembolism (VTE) and prophylaxis is often suboptimal due to difficulty in identifying at-risk patients. Simple and validated risk-assessment models (RAMs) are available to assist clinicians in identifying patients who have a high risk for developing VTE. Despite the well-documented association of immobility with increased risk of thrombosis, immobility is not consistently defined in clinical studies. We conducted a systematic review of published VTE RAMs and used objective criteria to determine how the term immobility is defined in RAMs. We identified 17 RAMs with six being externally validated. The concept of immobility is vaguely described in different RAMs, impacting the validity of these models in clinical practice. The wide variability in defining mobility in RAMs precluded its accurate clinical application, further limiting generalization of published RAMs. Externally validated RAMs with clearly defined qualitative or quantitative terms of immobility are needed to assess VTE risk in real-time at the point-of-care.
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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.