Year: 2023
Type: review
Study design: Systematic Review
Abstract: BACKGROUND: Classification and scoring systems can help both clinical management and audit the outcomes of routine care. AIM: This study aimed to assess published systems used to characterise ulcers in people with diabetes to determine which should be recommended to (a) aid communication between health professionals, (b) predict clinical outcome of individual ulcers, (c) characterise people with infection and/or peripheral arterial disease, and (d) audit to compare outcomes in different populations. This systematic review is part of the process of developing the 2023 guidelines to classify foot ulcers from the International Working Group on Diabetic Foot. METHODS: We searched PubMed, Scopus and Web of Science for articles published up to December 2021 which evaluated the association, accuracy or reliability of systems used to classify ulcers in people with diabetes. Published classifications had to have been validated in populations of >80% of people with diabetes and a foot ulcer. RESULTS: We found 28 systems addressed in 149 studies. Overall, the certainty of the evidence for each classification was low or very low, with 19 (68%) of the classifications being assessed by ≤ 3 studies. The most frequently validated system was the one from Meggitt-Wagner, but the articles validating this system focused mainly on the association between the different grades and amputation. Clinical outcomes were not standardized but included ulcer-free survival, ulcer healing, hospitalisation, limb amputation, mortality, and cost. CONCLUSION: Despite the limitations, this systematic review provided sufficient evidence to support recommendations on the use of six particular systems in specific clinical scenarios.
DOI: 10.1002/dmrr.3645
Institutions: Universidade do Porto, Centre for Health Technology and Services Research, The University of Western Australia, Fiona Stanley Hospital, University of Leeds, Leeds Teaching Hospitals NHS Trust, Siriraj Hospital, Mahidol University, University of Washington, VA Puget Sound Health Care System, Baylor College of Medicine, Nottingham University Hospitals NHS Trust, University Hospitals of Derby and Burton NHS Foundation Trust
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4367834859
