A diagnostic and treatment algorithm for dense deposit disease
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Dense deposit disease (DDD; also known as membranoproliferative glomerulonephritis type II) has a prevalence of just 2–3 cases per million individuals, and as a result it has been difficult to evaluate potential therapies in randomized controlled trials. Recently, Smith and colleagues have used available animal, genetic and molecular data to develop a diagnostic and treatment algorithm for the disease.
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