Estimating Selection Bias in Previous MGUS Research – the Importance of Screening: Results from the Population-Based Screening Study iStopMM (https://www.myeloma.org/videos/estimating-selection-bias-previous-mgus-research-importance-screening-results-population)
Monoclonal gammopathy of undetermined significance (MGUS) is a plasma cell disorder preceding multiple myeloma and related disorders, present in 4.2% of the population over the age of 50. Although usually asymptomatic, MGUS has been associated with various health-related problems, including thrombosis, infections, fractures, neuropathy, and death. Because MGUS is asymptomatic, its diagnosis is typically incidental, during clinical workup for unrelated medical issues, and therefore most individuals remain undiagnosed. Consequently, MGUS cohorts in past studies may have suffered from more comorbidities than the actual population with MGUS. This might have introduced selection bias in previous studies on MGUS, which extent has not been studied in a systematic way. Therefore, previously reported associations between MGUS and various medical issues might not be as profound as formerly observed. The aim of this study was to compare characteristics of incidentally diagnosed MGUS versus MGUS diagnosed by systematic screening, with particular focus on demographics, comorbidities, and MGUS-related factors.
Discussion
In this large population-based study including 75,000 screened individuals, we found clinical MGUS cases to be older, more likely to live in Iceland’s capital area, and have a higher M-protein concentration than those found to have MGUS while screened on the iStopMM study. Individuals with clinical MGUS also had a higher number of underlying comorbidities and were 1.5-3.3 times more likely to suffer from arrhythmias, chronic kidney diseases, endocrine disorders, heart failure, neurological diseases, and rheumatological diseases. Our findings highlight the importance of screening studies to evaluate the true epidemiological and biological implications of MGUS and suggest selection bias in prior studies.
ASH 2021: Abstract 1618 (https://ash.confex.com/ash/2021/webprogram/Paper153188.html)