Title |
Treatment of Immunoglobulin Light Chain Amyloidosis Mayo Stratification of Myeloma and Risk-Adapted Therapy (mSMART) Consensus Statement
|
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Published in |
Mayo Clinic Proceedings, August 2015
|
DOI | 10.1016/j.mayocp.2015.06.009 |
Pubmed ID | |
Authors |
Angela Dispenzieri, Francis Buadi, Shaji K. Kumar, Craig B. Reeder, Tamur Sher, Martha Q. Lacy, Robert A. Kyle, Joseph R. Mikhael, Vivek Roy, Nelson Leung, Martha Grogan, Prashant Kapoor, John A. Lust, David Dingli, Ronald S. Go, Yi Lisa Hwa, Suzanne R. Hayman, Rafael Fonseca, Sikander Ailawadhi, P. Leif Bergsagel, Ascher Chanan-Khan, S. Vincent Rajkumar, Stephen J. Russell, Keith Stewart, Steven R. Zeldenrust, Morie A. Gertz |
Abstract |
Immunoglobulin light chain amyloidosis (AL amyloidosis) has an incidence of approximately 1 case per 100,000 person-years in Western countries. The rarity of the condition not only poses a challenge for making a prompt diagnosis but also makes evidenced decision making about treatment even more challenging. Physicians caring for patients with AL amyloidosis have been borrowing and customizing the therapies used for patients with multiple myeloma with varying degrees of success. One of the biggest failings in the science of the treatment of AL amyloidosis is the paucity of prospective trials, especially phase 3 trials. Herein, we present an extensive review of the literature with an aim of making recommendations in the context of the best evidence and expert opinion. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 80% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 1% |
Unknown | 90 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 19 | 21% |
Student > Postgraduate | 11 | 12% |
Researcher | 10 | 11% |
Student > Ph. D. Student | 9 | 10% |
Student > Master | 4 | 4% |
Other | 14 | 15% |
Unknown | 24 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 48 | 53% |
Psychology | 4 | 4% |
Biochemistry, Genetics and Molecular Biology | 4 | 4% |
Agricultural and Biological Sciences | 3 | 3% |
Nursing and Health Professions | 2 | 2% |
Other | 7 | 8% |
Unknown | 23 | 25% |