{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,3]],"date-time":"2026-11-03T00:21:43Z","timestamp":1793665303116,"version":"4.5.1"},"reference-count":33,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2025,3,16]],"date-time":"2025-03-16T00:00:00Z","timestamp":1742083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Oncol Pharm Pract"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Tyrosine kinase inhibitors have substantially improved the quality of life and survival of patients with chronic myeloid leukemia. However, adherence is a complex and crucial aspect for achieving the desired clinical outcomes. Various factors can influence adherence, including the knowledge about the medications used in treatment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>To investigate the association between the clinical, sociodemographic and pharmacotherapeutic profile of patients with chronic myeloid leukemia and adherence to tyrosine kinase inhibitors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>This is a cross-sectional study conducted in a specialized outpatient clinic for hematological diseases in the Central-West region of Brazil. Treatment adherence was assessed using the Morisky medication adherence scale and the medication possession ratio. A binary logistic regression was performed to investigate the extent to which adherence could be adequately predicted by the independent variables.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The study included 153 patients, with a mean age of 51.8 years and a predominance of males (59.5%). Low adherence was observed in 56.2% of patients (Morisky scale) and 24.8% (medication possession ratio). Among the predictors, being male increased the chances of low adherence by 2.22 times and having comorbidities by 2.17 times. Conversely, an increase in diagnosis time was associated with a 0,09 decrease in the chances of low adherence and \u201cKnowing what to do if you miss a dose\u201d was associated with a 0,58 lower chance of low adherence.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Our study emphasized that adherence can vary depending on the method used and that predictors related to clinical, sociodemographic and pharmacotherapeutic characteristics may be associated with low adherence.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/10781552251324845","type":"journal-article","created":{"date-parts":[[2025,3,17]],"date-time":"2025-03-17T02:44:31Z","timestamp":1742179471000},"page":"1048-1056","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Association between the profile of patients with chronic myeloid leukemia and adherence to tyrosine kinase inhibitors"],"prefix":"10.1177","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7026-738X","authenticated-orcid":false,"given":"Pryscila","family":"Rodrigues Moreira","sequence":"first","affiliation":[{"name":"Federal University of Goi\u00e1s"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8760-9788","authenticated-orcid":false,"given":"Leonardo Teodoro","family":"de Farias","sequence":"additional","affiliation":[{"name":"Federal University of Goi\u00e1s"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tatyana Xavier Almeida Matteucci","family":"Ferreira","sequence":"additional","affiliation":[{"name":"Hospital of Clinics UFG\/EBSERH, Federal University of Goi\u00e1s"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1852-8836","authenticated-orcid":false,"given":"Ra\u00edza Guimar\u00e3es","family":"Costa","sequence":"additional","affiliation":[{"name":"Multiprofessional Health Residence, Federal University of Goi\u00e1s - UFG\/EBSERH"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-6838-1683","authenticated-orcid":false,"given":"Stanley Pontes","family":"Lacerda","sequence":"additional","affiliation":[{"name":"School of Pharmacy, University of Goi\u00e1s"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8924-6604","authenticated-orcid":false,"given":"Mariana Monteiro","family":"Palitot","sequence":"additional","affiliation":[{"name":"School of Pharmacy, University of Goi\u00e1s"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5083-237X","authenticated-orcid":false,"given":"Ana Carolina Figueiredo","family":"Modesto","sequence":"additional","affiliation":[{"name":"Hospital of Clinics UFG\/EBSERH, Federal University of Goi\u00e1s"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,3,16]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(21)01204-6"},{"key":"e_1_3_3_3_2","unstructured":"Cancer Facts & Figures 2024 https:\/\/www.cancer.org\/research\/cancer-facts-statistics\/all-cancer-facts-figures\/2024-cancer-facts-figures.html (accessed 16 May 2024)."},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00018-023-04729-4"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2015.66.2866"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.japh.2017.01.004"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.3904\/kjim.2021.158"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1182\/bloodadvances.2020002973"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1182\/blood-2010-10-309807"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/s40261-023-01329-9"},{"key":"e_1_3_3_11_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-34393-4"},{"key":"e_1_3_3_12_2","article-title":"Prevalence and determinants of non-adherence to imatinib in the first 3-months treatment among newly diagnosed Ethiopian\u2019s with chronic myeloid leukemia","volume":"14","author":"Fentie AM","year":"2019","unstructured":"Fentie AM, Tadesse F, Engidawork E, et al. 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