Frontiers in Medicine (Nov 2022)
Development of a core outcome set in the clinical trials of traditional Chinese medicine for diabetic foot: A study protocol
Abstract
BackgroundDiabetic Foot (DF) is one of the most common complications of diabetes, and it is characterized by high morbidity, disability, lethality and low cure rate. Traditional Chinese medicine treatment has certain characteristics and advantages in diabetic foot. Due to selective reporting bias and heterogeneity of research results, on the one hand, relevant clinical studies are of low quality and poor practicability, and on the other hand, similar studies cannot be included in meta-analysis to form high-quality evidence-based evidence and evaluate the value of studies. Therefore, the development of a core set of outcomes (COS-TCM-DF) for traditional Chinese medicine for the treatment of diabetic foot is an important way to address these issues.MethodsThe COS-TCM-DF project will refer to the developed COS methodology and the steps are divided into four stages: (1) a scoping review and analysis of enrolled research protocols to collect and analyze all existing outcomes that have been used in trials on the prevention or treatment of diabetic foot with Chinese Medicine; (2) qualitative interviews with Diabetic foot patient and attendants to Collect additional outcomes related to them; (3) Gather opinionest and obtain initial consensus from key stakeholders, including patients, clinicians, researchers, and pharmaceutical company staff, through a Delphi survey; (4) a consensus meeting was held to develop the final COS-TCM-DF.DiscussionCurrently, there is no COS on measuring or monitoring diabetic foot with TCM in trials or clinical practice. The COS-TCM-DF will be developed to advance the synthesis of evidence regarding the prevention and treatment of diabetic foot in TCM and to promote the standardized and consistent application of results in future studies in this field.Trial registrationRegistered with the Core Outcome Measures in Effectiveness Trials (COMET) database, December 2019 https://www.comet-initiative.org/Studies/Details/1553.
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