ArticleCurrent oncology (Toronto, Ont.)2026
The ClinicalTrials.gov Landscape of Multiple Myeloma Clinical Trials: A 20-Year Analysis of Geographic Distribution and Growth Patterns: USMIRC Analysis.
Article in Current oncology (Toronto, Ont.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
20 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMultiple myeloma (MM) has experienced rapid therapeutic innovation over the past two decades, leading to a substantial increase in clinical trial activity. However, the geographic distribution of these trials and the representation of different economic regions remain poorly characterized. We evaluated the global distribution, growth patterns, and phase-specific trends of MM clinical trials and trial sites across different economic settings.
methodsWe conducted a retrospective registry-based analysis interventional MM clinical trials registered on ClinicalTrials.gov between January 2006 and January 2026. Trials were categorized based on the economic classification of participating countries using World Bank income groups and Economic Co-operation and Development (OECD) status. Trial characteristics including phase, geographic distribution, number of participating sites, and site-years were analyzed. Population-adjusted trial density and compound annual growth rates (CAGR) were calculated to assess temporal trends and geographic representation.
resultsA total of 845 interventional MM clinical trials were identified during the study period. Trial activity was highest in the United States (337 trials, 39.9%), followed by international trials (271, 32.1%), high-income-OECD countries (129, 15.3%), and upper-middle-income countries (103, 12.2%), while high-income non-OECD countries contributed only a small fraction of trials. Trial activity increased substantially over time across all regions with the highest growth observed in upper-middle-income countries (CAGR 18.5%). The US demonstrated the highest population-adjusted trial density (0.99 per million population) and accounted for the largest number of trial sites and site-years. Phase-specific analyses revealed distinct geographic patterns. Phase 1 trials were predominantly conducted in the US and in international collaborative trials. Phase 3 trials were largely international, although the majority of participating sites remained located in the US and High-income countries that are members of the OECD (HIC-OECD).
conclusionsOver the past two decades, MM clinical trial activity has expanded globally but remains highly concentrated in the United States and high income-OECD countries, particularly with respect to trial sites and population-adjusted trial density. Although upper-middle-income countries have shown the fastest growth in trial activity expanding clinical trial infrastructure and strengthening international collaboration will be essential to promote a more equitable global distribution of MM research.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.