Trials (Aug 2020)
IMMPACT-recommended outcome measures and tools of assessment in burning mouth syndrome RCTs: an international Delphi survey protocol
Abstract
Abstract Background A core outcome set (COS) represents the agreed minimum set of domains and measurement instruments that should be measured and reported in any clinical trial for a given condition. In BMS randomized controlled trials (RCTs), the outcomes identified in the existing literature regarding the efficacy of therapeutic interventions are numerous and diverse. Although the standardized IMMPACT core outcome domains has been developed for measurement of outcomes in chronic pain RCTs, no BMS-specific COS have been adopted and validated. With the evolving landscape of BMS management end points and the development of new therapies, a consensus on a COS for use in future BMS trials is paramount to reduce heterogeneity in outcome reporting. The aim of this study was to reach a consensus for adopting the standardized Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT) outcome domains, and their tools of assessment, for burning mouth syndrome (BMS) clinical trials and clinical practice. Methods A BMS-specific COS will be developed using the method recommended by the Core Outcome Measures in Effective Trials (COMET) initiative (Registration: http://www.comet-initiative.org/studies/details/1357 ). Selection of questionnaire outcome measures was informed by the IMMPACT consensus and previous systematic review of RCTs in BMS conducted by the consortium. An international group of clinicians and researchers will be invited to participate in several rounds of a Delphi survey. A consensus meeting will be held with the objective of ratifying the outcomes for inclusion in the COS. A finalized COS explanatory document will be drafted, including all outcomes and measurements as determined by the Delphi rounds and consensus meeting. Discussion A COS for the management of BMS will improve the quality of future RCTs, reduce outcome reporting heterogeneity, and facilitate more vigorous data synthesis of management interventions for systematic reviews and meta-analysis. This would ensure enhanced quality evidence for clinical management of the condition.