ArticleJournal of clinical medicine2019
Development of a Minimum Data Set Registry for Chronic Venous Insufficiency of the Lower Limbs.
Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 10 citations in OpenAlex.
- Assessing Physicians' Knowledge, Attitudes, Intentions, Abilities, and Behaviour Toward Physical Activity and Exercise in Non-Communicable Diseases: Questionnaire Development Using an e-Delphi and Cross-Sectional Design.Healthcare (Basel, Switzerland) · 2026Article
- Using patient-reported outcomes in clinical studies for cardiovascular diseases of Traditional Chinese medicine worldwide: a cross-sectional study.BMC complementary medicine and therapies · 2025Review
- Minimum data set for treatment effectiveness in pyoderma gangrenosum (MIDSTEP): an international protocol of an e-Delphi study to develop a clinical physician-driven treatment effectiveness registry on behalf of the UPGRADE initiative.Archives of dermatological research · 2023Article
- Shank Circumference Reduction by Sleep Compression Stockings in University Students and Convenience Store Cashiers.Healthcare (Basel, Switzerland) · 2022Article
- Tissue remodelling and increased DNA damage in patients with incompetent valves in chronic venous insufficiency.Journal of cellular and molecular medicine · 2021Article
- Essential elements to elaborate a study with the (e)Delphi method.Enfermeria intensivaReview
- The minimum data set for goiter disorder in Iran.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
The purpose of this study was to develop a minimum data set (MDS) registry for the prevention, diagnosis and treatment of chronic venous insufficiency (CVI) of the lower limbs. We designed the instrument in two phases, comprising a literature review and an e-Delphi study to validate the content. We obtained a total of 39 documents that we used to develop a registry with 125 items grouped in 7 categories, as follows: Patient examination, venous disease assessment methods, diagnostic tests to confirm the disease, ulcer assessment, treatments to manage the disease at all its stages, patient quality of life, and patient health education. The instrument content was validated by 25 experts, 88% of whom were primary healthcare and hospital nurses and 84% had more than 10 years' experience in wound care. Using a two-round Delphi approach, we reduced the number of items in the MDS-CVI to 106 items. The categories remained unchanged. We developed an MDS for CVI with seven categories to assist healthcare professionals in the prevention, early detection, and treatment history of CVI. This tool will allow the creation of a registry in the primary care setting to monitor the venous health state of the population.
Indexed as
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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.