Modelling approaches for histology-independent cancer drugs to inform NICE appraisals: a systematic review and decision-framework

Murphy, Peter; Glynn, David; Dias, Sofia; Hodgson, Robert; Claxton, Lindsay; Beresford, Lucy; Cooper, Katy; Tappenden, Paul; Ennis, Kate; Grosso, Alessandro; Wright, Kath; Cantrell, Anna; Stevenson, Matt; Palmer, Stephen

doi:10.3310/hta25760

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The potential for heterogeneity in treatment effects, in a range of model inputs, across either tumour histologies or other characteristics, is likely to be an important issue for NICE appraisals of histology-independent technologies.

Peter Murphy , David Glynn , Sofia Dias , Robert Hodgson , Lindsay Claxton , Lucy Beresford , Katy Cooper , Paul Tappenden , Kate Ennis , Alessandro Grosso , Kath Wright , Anna Cantrell , Matt Stevenson & Stephen Palmer .

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Peter Murphy ¹, David Glynn ², Sofia Dias ¹, Robert Hodgson ¹, Lindsay Claxton ¹, Lucy Beresford ¹, Katy Cooper ³, Paul Tappenden ³, Kate Ennis ³, Alessandro Grosso ², Kath Wright ¹, Anna Cantrell ³, Matt Stevenson ³, Stephen Palmer ^2,^*

¹ Centre for Reviews and Dissemination, University of York, York, UK
² Centre for Health Economics, University of York, York, UK
³ School of Health and Related Research (ScHARR) Technology Assessment Group, University of Sheffield, Sheffield, UK
^* Corresponding author Email: stephen.palmer@york.ac.uk

Declared competing interests of authors: none.

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