ReviewVascular medicine (London, England)2026
Quantitative duplex ultrasound assessment of superficial venous incompetence: A state-of-the-art review.
Review in Vascular medicine (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Superficial venous incompetence (SVI) is the most common manifestation of chronic venous disease and represents a significant global health burden. Ultrasound has long been the diagnostic modality of choice in the evaluation of SVI, offering excellent anatomical information of venous reflux. However, the most widely used and currently recommended ultrasound parameter, reflux time, has shown a limited correlation with clinical severity and should primarily be considered a qualitative measure used to determine the presence or absence of venous reflux. In this context, quantitative assessments of venous reflux may provide a more nuanced and clinically informative evaluation of the severity and character of SVI. This review aims to summarize and critically assess the current evidence, as well as existing knowledge gaps, concerning quantitative ultrasound-based evaluation of SVI.
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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.