ArticleInternational wound journal2016
PredyCLU: a prediction system for chronic leg ulcers based on fuzzy logic; part I - exploring the venous side.
Article in International wound journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02911012 (Multiple Algorithms System Of All Scores in Embolism - MOSE), which is not on this map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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.
Multiple Algorithms System Of All Scores in Embolism - MOSE
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Skin tears and risk factors assessment: a systematic review on evidence-based medicine.International wound journal · 2018Pooled it
- A machine learning algorithm for early detection of heel deep tissue injuries based on a daily history of sub-epidermal moisture measurements.International wound journal · 2022Article
- PredyCLU: A prediction system for chronic leg ulcers based on fuzzy logic; part II-Exploring the arterial side.International wound journal · 2020Article
- Artificial Intelligence Applications in Dermatology: Where Do We Stand?Frontiers in medicine · 2020Review
- Review of Machine Learning in Predicting Dermatological Outcomes.Frontiers in medicine · 2020Review
- CGF Treatment of Leg Ulcers: a Randomized Controlled Trial.Open medicine (Warsaw, Poland) · 2019Article
- From varices to venous ulceration: the story of chronic venous disease described by metalloproteinases.International wound journal · 2017Article
- Study on the efficacy of surgery of the superficial venous system and of compression therapy at early stages of chronic venous disease for the prevention of chronic venous ulceration.International wound journal · 2016Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chronic leg ulcers (CLUs) are a common occurrence in the western population and are associated with a negative impact on the quality of life of patients. They also cause a substantial burden on the health budget. The pathogenesis of leg ulceration is quite heterogeneous, and chronic venous ulceration (CVU) is the most common manifestation representing the main complication of chronic venous disease (CVD). Prevention strategies and early identification of the risk represent the best form of management. Fuzzy logic is a flexible mathematical system that has proved to be a powerful tool for decision-making systems and pattern classification systems in medicine. In this study, we have elaborated a computerised prediction system for chronic leg ulcers (PredyCLU) based on fuzzy logic, which was retrospectively applied on a multicentre population of 77 patients with CVD. This evaluation system produced reliable risk score patterns and served effectively as a stratification risk tool in patients with CVD who were at the risk of developing CVUs.
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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.