Prognostic models for clinical outcomes in patients with venous leg ulcers: A systematic review

• Published in: Journal of vascular surgery. Venous and lymphatic disorders (New York, NY) Vol. 12; no. 1; p. 101673
• Main Authors: Veličković, Vladica M., Macmillan, Tom, Kottner, Jan, Crompton, Amy, Munro, Isobel, Paine, Abby, Savović, Jelena, Spelman, Tim, Clark, Michael, Smit, Harm Jaap, Smola, Hans, Webb, Neil, Steyerberg, Ewout
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.01.2024; Elsevier
• Subjects: Prognostic model; Review; Risk prediction; VLU; Wound; Prognostic model; Risk prediction; Wound; VLU
• ISSN: 2213-333X; 2213-3348; 2213-3348
• DOI: 10.1016/j.jvsv.2023.06.017

The purpose of this review was to identify prognostic models for clinical application in patients with venous leg ulcers (VLUs). Literature searches were conducted in Embase, Medline, Cochrane, and CINAHL databases from inception to December 22, 2021. Eligible studies reported prognostic models aimed at developing, validating, and adjusting multivariable prognostic models that include multiple prognostic factors combined, and that predicted clinical outcomes. Methodological quality was assessed using the CHARMS checklist and PROBAST short form questionnaire. Thirteen studies were identified, of which three were validation studies of previously published models, four reported derivation and validation of models, and the remainder reported derivation models only. There was substantial heterogeneity in the model characteristics, including 11 studies focused on wound healing outcomes reporting 91 different predictors. Three studies shared similar predicted outcomes, follow-up timepoint and used a Cox proportional hazards model. However, these models reported different predictor selection methods and different predictors and it was therefore not feasible to summarize performance, such as discriminative ability. There are no standout risk prediction models in the literature with promising clinical application for patients with VLUs. Future research should focus on developing and validating high-performing models in wider VLU populations.