{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:46:35Z","timestamp":1761896795493,"version":"3.37.3"},"reference-count":51,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2018,4,29]],"date-time":"2018-04-29T00:00:00Z","timestamp":1524960000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/100005189","name":"Leukemia & Lymphoma Society","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100005189","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Br J Haematol"],"published-print":{"date-parts":[[2018,7]]},"abstract":"Summary<\/jats:title>We developed a novel simulation model integrating multiple data sets to project long\u2010term outcomes with contemporary therapy for early\u2010stage Hodgkin lymphoma (ESHL<\/jats:styled-content>), namely combined modality therapy (CMT<\/jats:styled-content>) versus<\/jats:italic> chemotherapy alone (CA<\/jats:styled-content>) via 18<\/jats:sup>F\u2010fluorodeoxyglucose positron emission tomography response\u2010adaption. The model incorporated 3\u2010year progression\u2010free survival (PFS<\/jats:styled-content>), probability of cure with\/without relapse, frequency of severe late effects (LEs), and 35\u2010year probability of LE<\/jats:styled-content>s. Furthermore, we generated estimates for quality\u2010adjusted life years (QALY<\/jats:styled-content>s) and unadjusted survival (life years, LY<\/jats:styled-content>) and used model projections to compare outcomes for CMT<\/jats:styled-content>versus<\/jats:italic>CA<\/jats:styled-content> for two index patients. Patient 1: a 25\u2010year\u2010old male with favourable ESHL<\/jats:styled-content> (stage IA<\/jats:styled-content>); Patient 2: a 25\u2010year\u2010old female with unfavourable ESHL<\/jats:styled-content> (stage IIB<\/jats:styled-content>). Sensitivity analyses assessed the impact of alternative assumptions for LE<\/jats:styled-content> probabilities. For Patient 1, CMT<\/jats:styled-content> was superior to CA<\/jats:styled-content> (CMT<\/jats:styled-content> incremental gain\u00a0=\u00a00\u00b711 QALY<\/jats:styled-content>s, 0\u00b721 LY<\/jats:styled-content>s). For Patient 2, CA<\/jats:styled-content> was superior to CMT<\/jats:styled-content> (CA<\/jats:styled-content> incremental gain\u00a0=\u00a00\u00b737 QALY<\/jats:styled-content>s, 0\u00b792 LY<\/jats:styled-content>s). For Patient 1, the advantage of CMT<\/jats:styled-content> changed minimally when the proportion of severe LE<\/jats:styled-content>s was reduced from 20% to 5% (0\u00b715 QALY<\/jats:styled-content>s, 0\u00b743 LY<\/jats:styled-content>s), whereas increasing the severity proportion for Patient 2's LE<\/jats:styled-content>s from 20% to 80% enhanced the advantage of CA<\/jats:styled-content> (1\u00b71 QALY<\/jats:styled-content>s, 6\u00b75 LY<\/jats:styled-content>s). Collectively, this detailed simulation model quantified the long\u2010term impact that varied host factors and alternative contemporary treatments have in ESHL.<\/jats:p>","DOI":"10.1111\/bjh.15255","type":"journal-article","created":{"date-parts":[[2018,4,30]],"date-time":"2018-04-30T03:53:29Z","timestamp":1525060409000},"page":"212-221","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Early\u2010stage Hodgkin lymphoma in the modern era: simulation modelling to delineate long\u2010term patient outcomes"],"prefix":"10.1111","volume":"182","author":[{"given":"Susan K.","family":"Parsons","sequence":"first","affiliation":[{"name":"Department of Pediatrics Tufts University School of Medicine Boston MA USA"},{"name":"Department of Medicine Tufts University School of Medicine Boston MA USA"},{"name":"Institute for Clinical Research and Health Policy Studies Tufts MC Boston MA USA"},{"name":"Division of 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Atlanta Emory University School of Medicine Atlanta GA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tara O.","family":"Henderson","sequence":"additional","affiliation":[{"name":"Department of Pediatrics Section\u00a0of Hematology, Oncology and Stem Cell Transplantation University of Chicago Chicago IL USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kara M.","family":"Kelly","sequence":"additional","affiliation":[{"name":"Department of Pediatrics Roswell Park Cancer Institute University of Buffalo School of Medicine and Biomedical Sciences Buffalo NY USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Frank G.","family":"Keller","sequence":"additional","affiliation":[{"name":"Aflac Cancer and Blood Disorders Center Children's Healthcare of Atlanta Emory University School of Medicine Atlanta GA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tobi 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