{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T12:33:05Z","timestamp":1791981185197,"version":"4.4.0"},"reference-count":39,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2016,9,15]],"date-time":"2016-09-15T00:00:00Z","timestamp":1473897600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"Chonnam National University Hospital Biomedical Research Institute","award":["CRI16039-22"],"award-info":[{"award-number":["CRI16039-22"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["European Journal of Pain"],"published-print":{"date-parts":[[2017,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>\n                      Patients with fibromyalgia (\n                      <jats:styled-content style=\"fixed-case\">FM<\/jats:styled-content>\n                      ) exhibit significant clinical heterogeneity, in terms of physical, social and psychological functions, as well as therapeutic responses. Here, we examined\n                      <jats:styled-content style=\"fixed-case\">FM<\/jats:styled-content>\n                      patients in terms of pain, physical, social and psychological variables to identify clinical subgroups that may be predictive of treatment patterns.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      A total of 313\n                      <jats:styled-content style=\"fixed-case\">FM<\/jats:styled-content>\n                      patients were interviewed using a structured questionnaire that included sociodemographic data, current or past\n                      <jats:styled-content style=\"fixed-case\">FM<\/jats:styled-content>\n                      symptoms and current use of relevant medications. A K\u2010means cluster analysis was conducted using variables reflecting tender points, the Fibromyalgia Impact Questionnaire, Beck Depression Inventory, State\u2010Trait Anxiety Inventor and Social Support Scale.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Four distinct clusters were identified in these patients. Group 1 was characterized by high pain levels, severe physical and mental impairment and low social support. Group 2 had moderate pain and physical impairment, mild mental impairment and moderate social support. Group 3 had moderate pain, low physical and moderate mental impairment and low social support. Group 4 had low pain levels, nearly normal physical and mental function and high social support. Group 1 was more often a current or past smoker, more likely to have a variety of symptoms, including swelling, cognitive dysfunction, dizziness, syncope, oesophageal dysmotility, dyspepsia, irritable bladder, vulvodynia and restless leg syndrome.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      We identified four subgroups of\n                      <jats:styled-content style=\"fixed-case\">FM<\/jats:styled-content>\n                      patients based on pain, physical, social and psychological function. These subgroups had different clinical symptoms and medication profiles, suggesting that\n                      <jats:styled-content style=\"fixed-case\">FM<\/jats:styled-content>\n                      may be better managed using a more comprehensive assessment of an individual patient's symptoms.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Significance<\/jats:title>\n                    <jats:p>\n                      <jats:styled-content style=\"fixed-case\">FM<\/jats:styled-content>\n                      patients can be clustered into four distinct subgroups based on clinically measurable variables \u2013 pain, physical involvement, psychological function and social support. These subgroups had different clinical symptoms and medication profiles.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/ejp.935","type":"journal-article","created":{"date-parts":[[2016,9,16]],"date-time":"2016-09-16T00:33:38Z","timestamp":1473986018000},"page":"374-384","source":"Crossref","is-referenced-by-count":53,"title":["Identifying fibromyalgia subgroups using cluster analysis: Relationships with clinical variables"],"prefix":"10.1002","volume":"21","author":[{"given":"Y.\u2010R.","family":"Yim","sequence":"first","affiliation":[{"name":"Department of Rheumatology Chonnam National University Hospital &amp; Medical School Gwangju Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"K.\u2010E.","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Rheumatology Chonnam National University Hospital &amp; Medical School Gwangju Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"D.\u2010J.","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Rheumatology Chonnam National University Hospital &amp; 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