{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T00:48:53Z","timestamp":1787014133805,"version":"build-2736575974"},"reference-count":28,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2017,1,16]],"date-time":"2017-01-16T00:00:00Z","timestamp":1484524800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"Nordic CML Study Group"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["European J of Haematology"],"published-print":{"date-parts":[[2017,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>\n                      To evaluate the influence of socio\u2010economic variables on treatment selection and survival of patients with chronic myeloid leukaemia (\n                      <jats:styled-content style=\"fixed-case\">CML<\/jats:styled-content>\n                      ).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Using information available in population\u2010based Swedish registries, we evaluated indices of health, education and economy from the 980 patients in the Swedish\n                      <jats:styled-content style=\"fixed-case\">CML<\/jats:styled-content>\n                      register diagnosed between 2002 and 2012. Apart from internal comparisons, five age\u2010, gender\u2010 and region\u2010matched control subjects per patient served as control cohort. Median follow\u2010up time from\n                      <jats:styled-content style=\"fixed-case\">CML<\/jats:styled-content>\n                      diagnosis was 4.8\u00a0years.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Among patients with\n                      <jats:styled-content style=\"fixed-case\">CML<\/jats:styled-content>\n                      , low personal or household income, short education, living alone, poor performance status and high age (&gt;60\u00a0years) were significantly associated with an inferior survival (in univariate analyses). However, similar findings were noted also in the matched control group, and in comparisons adjusted for calendar year, age and performance status, socio\u2010economic variables were not significantly associated with\n                      <jats:styled-content style=\"fixed-case\">CML<\/jats:styled-content>\n                      survival. Meanwhile, both education and income were independently linked to\n                      <jats:styled-content style=\"fixed-case\">TKI<\/jats:styled-content>\n                      treatment overall and to upfront treatment with second\u2010generation\n                      <jats:styled-content style=\"fixed-case\">TKI<\/jats:styled-content>\n                      s.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      In conclusion, socio\u2010economic conditions were associated with survival in the studied\n                      <jats:styled-content style=\"fixed-case\">CML<\/jats:styled-content>\n                      cohort but these associations could be explained by differences at baseline. Meanwhile, socio\u2010economic conditions appeared to influence treatment choice.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/ejh.12845","type":"journal-article","created":{"date-parts":[[2016,12,24]],"date-time":"2016-12-24T23:10:36Z","timestamp":1482621036000},"page":"398-406","source":"Crossref","is-referenced-by-count":15,"title":["The impact of socio\u2010economic factors on treatment choice and mortality in chronic myeloid leukaemia"],"prefix":"10.1111","volume":"98","author":[{"given":"Gunnar","family":"Larfors","sequence":"first","affiliation":[{"name":"Unit of Haematology Department of Medical Sciences Uppsala University Uppsala Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fredrik","family":"Sandin","sequence":"additional","affiliation":[{"name":"Regional Cancer Center Uppsala\u2010\u00d6rebro Uppsala 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