{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T06:50:17Z","timestamp":1792047017181,"version":"4.4.0"},"reference-count":24,"publisher":"Cambridge University Press (CUP)","issue":"1","license":[{"start":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T00:00:00Z","timestamp":1792022400000},"content-version":"unspecified","delay-in-days":287,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int J Technol Assess Health Care"],"published-print":{"date-parts":[[2026]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec id=\"S026646232610422X_sec1\">\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>We examined long-term treatment-effect patterns relevant to treatment effect waning (TEW) modeling in oncology health technology assessment (HTA), compared the dispersion and update stability of hazard ratios (HRs) and restricted mean survival time ratios (RMSTRs), and developed prediction models to support extrapolation model selection and TEW modeling.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S026646232610422X_sec2\" sec-type=\"methods\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Using the FDA Hematology\/Oncology Approvals Database, we identified phase II\/III randomized controlled trials (2006-2025) with updates. We included overall survival (OS) and other time-to-event end points (non-OS). We conducted 2\/3\/4\/5-year landmark analyses to estimate post-landmark HRs and RMSTRs, summarized by event-weighted medians and dispersion (coefficient of quartile relative dispersion, CQR). Update-related change was quantified using updated-to-initial ratios. We predicted longer-term RMSTR using elastic-net regression with nested cross-validation and split-conformal 90 percent prediction intervals.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S026646232610422X_sec3\" sec-type=\"results\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We analyzed 168 trials (270 contrasts; 150 OS, 120 non-OS). Across landmark analyses at 2, 3, 4, and 5 years, RMSTR was consistently less dispersed than HR for both OS and non-OS end points, while post-landmark HRs generally remained &lt; 1. Update ratios were more stable for RMSTR than HR. Initial and updated RMSTR were strongly correlated (OS r = .87; non-OS r = .82). Parsimonious regularized models accurately predicted updated RMSTR, with conformal prediction intervals achieving 91 percent and 96 percent coverage for OS and non-OS.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S026646232610422X_sec4\" sec-type=\"conclusions\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Reliance on current HR-based TEW modeling practices alone may be insufficient to fully characterize long-term treatment-effect uncertainty. RMSTR was consistently less dispersed than HR and predictable from early trial data, providing an anchor for extrapolation model selection and TEW uncertainty analysis in oncology economic evaluations.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1017\/s026646232610422x","type":"journal-article","created":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T06:40:47Z","timestamp":1792046447000},"source":"Crossref","is-referenced-by-count":0,"title":["Restricted mean survival time ratio in oncology cost-effectiveness analysis: stability and data-driven support for treatment-effect waning modeling and survival extrapolation"],"prefix":"10.1017","volume":"42","author":[{"given":"Mingye","family":"Zhao","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/01sfm2718","id-type":"ROR","asserted-by":"publisher"}],"name":"China Pharmaceutical University School of International Pharmaceutical Business"},{"id":[{"id":"https:\/\/ror.org\/01sfm2718","id-type":"ROR","asserted-by":"publisher"}],"name":"China Pharmaceutical University School of International Pharmaceutical Business"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanqiao","family":"Shao","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/01sfm2718","id-type":"ROR","asserted-by":"publisher"}],"name":"China Pharmaceutical University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Taihang","family":"Shao","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/00t33hh48","id-type":"ROR","asserted-by":"publisher"}],"name":"The Chinese University of Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunong","family":"Jiang","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/01sfm2718","id-type":"ROR","asserted-by":"publisher"}],"name":"China Pharmaceutical University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunlin","family":"Jiang","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/00z27jk27","id-type":"ROR","asserted-by":"publisher"}],"name":"Shanghai University of Traditional Chinese Medicine"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Li","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/01sfm2718","id-type":"ROR","asserted-by":"publisher"}],"name":"China Pharmaceutical University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongshu","family":"Fang","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/01sfm2718","id-type":"ROR","asserted-by":"publisher"}],"name":"China Pharmaceutical University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3511-8853","authenticated-orcid":false,"given":"Wenxi","family":"Tang","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/01sfm2718","id-type":"ROR","asserted-by":"publisher"}],"name":"China Pharmaceutical University \u2013 Jiangning Campus"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2026,10,15]]},"reference":[{"key":"S026646232610422X_r5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jval.2024.04.016"},{"key":"S026646232610422X_r13","doi-asserted-by":"publisher","DOI":"10.1002\/sim.4274"},{"key":"S026646232610422X_r9","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2015.64.2488"},{"key":"S026646232610422X_r19","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00503.x"},{"key":"S026646232610422X_r8","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2014.55.2208"},{"key":"S026646232610422X_r10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jtho.2022.08.010"},{"key":"S026646232610422X_r20","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v033.i01"},{"key":"S026646232610422X_r24","doi-asserted-by":"publisher","DOI":"10.1016\/j.jval.2024.09.008"},{"key":"S026646232610422X_r7","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2288-13-152"},{"key":"S026646232610422X_r17","first-page":"69","article-title":"A guide to appropriate use of correlation coefficient in medical research","volume":"24","author":"Mukaka","year":"2012","journal-title":"Malawi Med J"},{"key":"S026646232610422X_r14","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2005.05.007"},{"key":"S026646232610422X_r21","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1974.tb00994.x"},{"key":"S026646232610422X_r12","doi-asserted-by":"publisher","DOI":"10.1186\/s12874-021-01308-8"},{"key":"S026646232610422X_r6","doi-asserted-by":"publisher","DOI":"10.1097\/EDE.0b013e3181c1ea43"},{"key":"S026646232610422X_r3","unstructured":"3. 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