Validation of an administrative coding algorithm for the identification of individuals with amyloid light chain amyloidosis using administrative data
Leuk Lymphoma
.
2023 Jan;64(1):256-258.
doi: 10.1080/10428194.2022.2136967.
Epub 2022 Nov 21.
Authors
Victor H Jimenez-Zepeda
1
,
Donna Reece
2
,
Rodrigo Rigo
3
4
,
Priyanka Gogna
3
5
,
Shiying Kong
3
4
6
,
Xun Yang Hu
3
4
,
Parv Chapani
3
4
,
Winson Y Cheung
3
4
7
,
Darren R Brenner
3
4
6
,
Richard Plante
8
,
Kun Shi
9
,
Asad Husain
9
,
Eric Ammann
10
,
Dipti Tankala
9
,
Devon J Boyne
3
4
Affiliations
1
Department of Medical Oncology and Hematology, Tom Baker Cancer Centre, Calgary, Canada.
2
Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, Canada.
3
Oncology Outcomes Research Initiative, University of Calgary, Calgary, Canada.
4
Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Canada.
5
Department of Public Health Sciences, Queen's University, Kingston, Canada.
6
Department of Community Health Science, University of Calgary, Calgary, Canada.
7
Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Canada.
8
Janssen Medical Affairs, Toronto, Canada.
9
Janssen Market Access, Toronto, Canada.
10
Janssen Global Market Access, Raritan, NJ, USA.
PMID:
36409003
DOI:
10.1080/10428194.2022.2136967
No abstract available
Publication types
Letter
Research Support, Non-U.S. Gov't
MeSH terms
Amyloidosis* / diagnosis
Humans
Immunoglobulin Light Chains
Immunoglobulin Light-chain Amyloidosis* / diagnosis
Substances
Immunoglobulin Light Chains