Study: Biomarker May Help Identify Difficult-to-diagnose Myasthenia Gravis
Comparison of three different serum-free light-chain assays—implications on diagnostic and therapeutic monitoring of multiple myeloma | Blood Cancer Journal
free light chains ratio in AL amyloidosis, kappa and lambdaAmyloidosis Patient Information Site
Light Chain Myeloma: Symptoms, Treatment, Outlook, More
Medicina | Free Full-Text | The Use of Kappa Free Light Chains to Diagnose Multiple Sclerosis
Correspondence data for kappa and lambda free light chain analysis | Download Table
Serum free light chain analysis - Davids - 2010 - American Journal of Hematology - Wiley Online Library
Defining new reference intervals for serum free light chains in individuals with chronic kidney disease: Results of the iStopMM study | Blood Cancer Journal
Kappa free light chain index as a diagnostic biomarker in multiple sclerosis: A real‐world investigation - Rosenstein - 2021 - Journal of Neurochemistry - Wiley Online Library
Comparison of serum free light chain and urine electrophoresis for the detection of the light chain component of monoclonal immunoglobulins in light chain and intact immunoglobulin multiple myeloma | Haematologica
Cureus | Light-Chain Multiple Myeloma: A Diagnostic Challenge | Article
Frontiers | High Levels of Cerebrospinal Fluid Kappa Free Light Chains Relate to IgM Intrathecal Synthesis and Might Have Prognostic Implications in Relapsing Multiple Sclerosis
Excluding myeloma diagnosis using revised thresholds for serum free light chain ratios and M-protein levels | Haematologica
Immunoglobulin light chain amyloidosis diagnosis and treatment algorithm 2021 | Blood Cancer Journal
Manni Mohyuddin on Twitter: "There were some simplifications here in this thread, but will be helpful for fellows interpreting these values, and for non-hematologists who place these consults! Thanks for reading, and
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Types of Multiple Myeloma | International Myeloma Foundation
Cerebrospinal fluid kappa free light chains as biomarker in multiple sclerosis—from diagnosis to prediction of disease activity | SpringerLink