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Cluster analysis of clinical data identifies fibromyalgia subgroups

Cluster analysis of clinical data identifies fibromyalgia subgroups

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1438035465

Cluster analysis of clinical data identifies fibromyalgia subgroups

About this item

Full title

Cluster analysis of clinical data identifies fibromyalgia subgroups

Publisher

United States: Public Library of Science

Journal title

PloS one, 2013-09, Vol.8 (9), p.e74873-e74873

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Fibromyalgia (FM) is mainly characterized by widespread pain and multiple accompanying symptoms, which hinder FM assessment and management. In order to reduce FM heterogeneity we classified clinical data into simplified dimensions that were used to define FM subgroups.
48 variables were evaluated in 1,446 Spanish FM cases fulfilling 1990 ACR FM...

Alternative Titles

Full title

Cluster analysis of clinical data identifies fibromyalgia subgroups

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_1438035465

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1438035465

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0074873

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