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The St George's Classification Algorithm of Primary Lymphatic Anomalies.

Gordon, K; Mortimer, PS; van Zanten, M; Jeffery, S; Ostergaard, P; Mansour, S (2021) The St George's Classification Algorithm of Primary Lymphatic Anomalies. Lymphat Res Biol, 19 (1). pp. 25-30. ISSN 1557-8585 https://doi.org/10.1089/lrb.2020.0104
SGUL Authors: Van Zanten, Malou Catharina Ostergaard, Pia

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Abstract

Clinicians and scientists at St George's University Hospital have collaborated to develop a classification algorithm for primary lymphatic anomalies. Instruction is offered on how to apply the algorithm in clinical practice to refine the diagnosis of primary lymphedema and guide on genetic testing and management. It can also be used to interpret mutation testing results of uncertain significance. The algorithm has evolved as more genes have been discovered, and it remains a "work in progress" as further discoveries are made. This transformational approach has revolutionized the understanding and classification of primary lymphatic anomalies.

Item Type: Article
Additional Information: Final publication is available from Mary Ann Liebert, Inc., publishers http://dx.doi.org/10.1089/lrb.2020.0104
Keywords: classification algorithm, primary lymphatic anomalies, primary lymphedema, primary lymphatic anomalies, primary lymphedema, classification algorithm, 1107 Immunology, Oncology & Carcinogenesis
SGUL Research Institute / Research Centre: Academic Structure > Molecular and Clinical Sciences Research Institute (MCS)
Journal or Publication Title: Lymphat Res Biol
ISSN: 1557-8585
Language: eng
Dates:
DateEvent
24 February 2021Published
4 January 2021Published Online
24 November 2020Accepted
Publisher License: Publisher's own licence
Projects:
Project IDFunderFunder ID
FS/06/063/21445British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
PG/10/58/28477British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
FS/08/006/25302British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
SP/13/5/30288British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
MR/P011543/1Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
PubMed ID: 33395557
Web of Science ID: WOS:000605064500001
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/112812
Publisher's version: https://doi.org/10.1089/lrb.2020.0104

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