{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T05:33:44Z","timestamp":1791524024202,"version":"4.3.4"},"reference-count":74,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2021,11,26]],"date-time":"2021-11-26T00:00:00Z","timestamp":1637884800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Brit J Clinical Pharma"],"published-print":{"date-parts":[[2022,4]]},"abstract":"<jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>Imatinib is considered the standard first\u2010line treatment in newly diagnosed patients with chronic\u2010phase myeloid leukaemia (CML). Several imatinib population pharmacokinetic (popPK) models have been developed. However, their predictive performance has not been well established when extrapolated to different populations. Therefore, this study aimed to perform an external evaluation of available imatinib popPK models developed mainly in adult patients, and to evaluate the improvement in individual model\u2010based predictions through Bayesian forecasting computed by each model at different treatment occasions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A literature review was conducted through PubMed and Scopus to identify popPK models. Therapeutic drug monitoring data collected in adult CML patients treated with imatinib was used for external evaluation, including prediction\u2010 and simulated\u2010based diagnostics together with Bayesian forecasting analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Fourteen imatinib popPK studies were included for model\u2010performance evaluation. A total of 99 imatinib samples were collected from 48 adult CML patients undergoing imatinib treatment with a minimum of one plasma concentration measured at steady\u2010state between January 2016 and December 2020. The model proposed by Petain et al showed the best performance concerning prediction\u2010based diagnostics in the studied population. Bayesian forecasting demonstrated a significant improvement in predictive performance at the second visit. Inter\u2010occasion variability contributed to reducing bias and improving individual model\u2010based predictions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Imatinib popPK studies developed in Caucasian subjects including \u03b11\u2010acid glycoprotein showed the best model performance in terms of overall bias and precision. Moreover, two imatinib samples from different visits appear sufficient to reach an adequate model\u2010based individual prediction performance trough Bayesian forecasting.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/bcp.15122","type":"journal-article","created":{"date-parts":[[2021,10,27]],"date-time":"2021-10-27T10:51:00Z","timestamp":1635331860000},"page":"1913-1924","source":"Crossref","is-referenced-by-count":29,"title":["External evaluation of population pharmacokinetic models of imatinib in adults diagnosed with chronic myeloid leukaemia"],"prefix":"10.1111","volume":"88","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1196-7108","authenticated-orcid":false,"given":"\u00c1lvaro","family":"Corral Alaejos","sequence":"first","affiliation":[{"name":"Pharmacy Service University Hospital of Salamanca  Salamanca 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