Table 1.
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.