Non-Proportional Hazards Network Meta-Analysis in NICE Technology Appraisals Prevalence and Insights
Author(s)
Yan Zhi Tan, MSc, BSc1, Yu-Heng Liu, Pharm D, MSc2, Autumn Hoang, MSc, BA2, Alessandro Catanzaro, MSc, BSc1, Yi Hsuan Chen, MSc1, Tracy Westley, MScPH3, Benjamin Kearns, PhD2.
1Lumanity, Utrecht, Netherlands, 2Lumanity, Sheffield, United Kingdom, 3Lumanity, Bethesda, MD, USA.
1Lumanity, Utrecht, Netherlands, 2Lumanity, Sheffield, United Kingdom, 3Lumanity, Bethesda, MD, USA.
OBJECTIVES: Network meta-analyses (NMAs) are commonly accepted in health technology assessments (HTAs) when treatments are not compared directly. For time-to-event (TTE) outcomes, standard, time-constant NMA may be unsuitable if the proportional hazards (PH) assumption is violated. Several non-PH NMA methods are available, but there is a lack of guidance on which to use. We examined the prevalence, characteristics, and justifications for non-PH NMAs used in National Institute for Health and Care Excellence (NICE) HTA submissions.
METHODS: A systematic review was conducted on NICE technology appraisals (TAs) published between April 2015 and March 2025. Main extraction items included: use of (non-PH) NMA and its rationale, NMA outcomes, type of non-PH NMA, incorporation of results into economic models, and methodological critiques
RESULTS: Of the 347 NICE TAs identified, 164 (47.3%) reported NMAs and 27 (16.5%) were non-PH NMAs. All non-PH NMAs supported oncology TAs. Non-PH NMAs were conducted mainly for progression-free survival (25 [92.6%]) and overall survival (24 [88.9%]). Only four TAs (14.8%) considered more than one non-PH NMA method. Of the 27 non-PH NMA TAs, 21 (77.8%), seven (25.9%), two (7.4%) and one (3.7%) employed fractional polynomials, parametric, spline, and piecewise NMAs, respectively. Although PH violation was the predominant reason for conducting non-PH NMA, only 22 (81.4%) TAs reported some form of assessment, of which seven (31.8%) relied only on visual inspection. While the assessors largely agree with non-PH NMA use in these TAs, there were concerns with model fit and selection. Interestingly, of 38 TAs that conducted PH NMAs on TTE data, 19 (50.0%) did not report or conduct PH assessment.
CONCLUSIONS: When non-PH NMAs were used, there was little justification for the type of non-PH NMA selected, with few TAs comparing multiple methods. No non-oncology TAs considered non-PH NMA. Guidance is needed for the selection of appropriate non-PH NMA methods for TTE outcomes.
METHODS: A systematic review was conducted on NICE technology appraisals (TAs) published between April 2015 and March 2025. Main extraction items included: use of (non-PH) NMA and its rationale, NMA outcomes, type of non-PH NMA, incorporation of results into economic models, and methodological critiques
RESULTS: Of the 347 NICE TAs identified, 164 (47.3%) reported NMAs and 27 (16.5%) were non-PH NMAs. All non-PH NMAs supported oncology TAs. Non-PH NMAs were conducted mainly for progression-free survival (25 [92.6%]) and overall survival (24 [88.9%]). Only four TAs (14.8%) considered more than one non-PH NMA method. Of the 27 non-PH NMA TAs, 21 (77.8%), seven (25.9%), two (7.4%) and one (3.7%) employed fractional polynomials, parametric, spline, and piecewise NMAs, respectively. Although PH violation was the predominant reason for conducting non-PH NMA, only 22 (81.4%) TAs reported some form of assessment, of which seven (31.8%) relied only on visual inspection. While the assessors largely agree with non-PH NMA use in these TAs, there were concerns with model fit and selection. Interestingly, of 38 TAs that conducted PH NMAs on TTE data, 19 (50.0%) did not report or conduct PH assessment.
CONCLUSIONS: When non-PH NMAs were used, there was little justification for the type of non-PH NMA selected, with few TAs comparing multiple methods. No non-oncology TAs considered non-PH NMA. Guidance is needed for the selection of appropriate non-PH NMA methods for TTE outcomes.
Conference/Value in Health Info
2025-11, ISPOR Europe 2025, Glasgow, Scotland
Value in Health, Volume 28, Issue S2
Code
HTA257
Topic
Health Technology Assessment, Methodological & Statistical Research, Study Approaches
Topic Subcategory
Systems & Structure, Value Frameworks & Dossier Format
Disease
No Additional Disease & Conditions/Specialized Treatment Areas, Oncology