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. 2016 Dec 24;64(3):355–360. doi: 10.1093/cid/ciw788

Table 1.

Challenges and Potential Solutions for MASTERMIND Studies

Challenges Potential Solutions
Comparator method considerations • There may be no available, good-quality comparator method, particularly for novel diagnostics • Use a composite of tests, while excluding the one being evaluated
• Tests used for the comparator method may themselves have poor performance characteristics • Utilize only tests with a high level of preclinical validation or include clinical and laboratory components in the comparator, or apply clinical adjudication, or use an algorithmic approach
Industry commitment • If a company withdraws, there are deleterious consequences to the remaining components of the protocol • Ensure high-level commitment from participating companies through early and ongoing engagement
Statistical considerations • Indeterminate/equivocal results • Include alternative tests, clinical data, or short-term follow-up data to clarify the diagnosis
• Variations in specimen quality due to repeated collections • Randomize order of specimen collection
• Operational bias • Blind users of the investigational test to clinical information and comparator test result(s) and vice versa
• Determination of sample size • May need to be adjusted during study based on the prevalence of infection

Abbreviation: MASTERMIND, Master Protocol for Evaluating Multiple Infection Diagnostics.