ArticleMedical journal of the Islamic Republic of Iran2024
Comparison of the Pauda and the Autar DVT Risk Assessment Scales in Prediction of Venous Thromboembolism in ICU Patients.
Article in Medical journal of the Islamic Republic of Iran, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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
3 citing papers in PubMed.
- Artificial Intelligence in Venous Thromboembolism Prevention: A Narrative Review of Machine Learning, Deep Learning, and Natural Language Processing.Journal of cardiovascular development and disease · 2026Review
- Machine Learning Model Predicts New-Onset Lower Extremity Deep Vein Thrombosis After Pelvic Fracture Surgery and Targeted Diagnosis.Clinical epidemiology · 2026Article
- Machine learning models predict risk of lower extremity deep vein thrombosis in hospitalized patients with spontaneous intracerebral hemorrhage.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The evaluation of VTE risk using risk assessment scales for each hospitalized patient is recommended by the National Institute for Health and Care Excellence. The purpose of this study was to compare the predictive accuracy of two common assessment scales, the Autar and Padua deep vein thrombosis (DVT) risk assessment scales. Methods: This prospective cohort study was conducted on 228 ICU hospitalized patients. The risk of VTE was estimated using the Autar and Padua scales during the first 48 hours after admission. The predictive accuracy of the above two risk assessment scales for VTE in ICU patients was compared based on the area under the receiver operating curve (ROC). Results: Results of ROC analysis indicated the area under the curve (AUC) values for the Autar (0.61 ± 0.05) and Pauda (0.53 ± 0.06). Log-rank test showed no difference in AUCs ( Conclusion: The AUC, accuracy, and LR+ of the Autar risk assessment scale were higher than the Padua scale in predicting VTE. However, both scales had excellent reliability, high sensitivity and low specificity. It is recommended that the risk of VTE is recorded by the Autar scale for patients admitted to ICUs. It can help the healthcare team in the use of prophylaxis for those that are at high risk for VTE.
Indexed as
Identifiers
What OpenQuestion holds
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.