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Validity of Surrogate Endpoints and Their Impact on Coverage Recommendations: A Retrospective Analysis across International Health Technology Assessment Agencies

BACKGROUND: Surrogate endpoints (i.e., intermediate endpoints intended to predict for patient-centered outcomes) are increasingly common. However, little is known about how surrogate evidence is handled in the context of health technology assessment (HTA). OBJECTIVES: 1) To map methodologies for the...

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Autores principales: Ciani, Oriana, Grigore, Bogdan, Blommestein, Hedwig, de Groot, Saskia, Möllenkamp, Meilin, Rabbe, Stefan, Daubner-Bendes, Rita, Taylor, Rod S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8108112/
https://www.ncbi.nlm.nih.gov/pubmed/33719711
http://dx.doi.org/10.1177/0272989X21994553
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author Ciani, Oriana
Grigore, Bogdan
Blommestein, Hedwig
de Groot, Saskia
Möllenkamp, Meilin
Rabbe, Stefan
Daubner-Bendes, Rita
Taylor, Rod S.
author_facet Ciani, Oriana
Grigore, Bogdan
Blommestein, Hedwig
de Groot, Saskia
Möllenkamp, Meilin
Rabbe, Stefan
Daubner-Bendes, Rita
Taylor, Rod S.
author_sort Ciani, Oriana
collection PubMed
description BACKGROUND: Surrogate endpoints (i.e., intermediate endpoints intended to predict for patient-centered outcomes) are increasingly common. However, little is known about how surrogate evidence is handled in the context of health technology assessment (HTA). OBJECTIVES: 1) To map methodologies for the validation of surrogate endpoints and 2) to determine their impact on acceptability of surrogates and coverage decisions made by HTA agencies. METHODS: We sought HTA reports where evaluation relied on a surrogate from 8 HTA agencies. We extracted data on the methods applied for surrogate validation. We assessed the level of agreement between agencies and fitted mixed-effects logistic regression models to test the impact of validation approaches on the agency’s acceptability of the surrogate endpoint and their coverage recommendation. RESULTS: Of the 124 included reports, 61 (49%) discussed the level of evidence to support the relationship between the surrogate and the patient-centered endpoint, 27 (22%) reported a correlation coefficient/association measure, and 40 (32%) quantified the expected effect on the patient-centered outcome. Overall, the surrogate endpoint was deemed acceptable in 49 (40%) reports (k-coefficient 0.10, P = 0.004). Any consideration of the level of evidence was associated with accepting the surrogate endpoint as valid (odds ratio [OR], 4.60; 95% confidence interval [CI], 1.60–13.18, P = 0.005). However, we did not find strong evidence of an association between accepting the surrogate endpoint and agency coverage recommendation (OR, 0.71; 95% CI, 0.23–2.20; P = 0.55). CONCLUSIONS: Handling of surrogate endpoint evidence in reports varied greatly across HTA agencies, with inconsistent consideration of the level of evidence and statistical validation. Our findings call for careful reconsideration of the issue of surrogacy and the need for harmonization of practices across international HTA agencies.
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spelling pubmed-81081122021-05-17 Validity of Surrogate Endpoints and Their Impact on Coverage Recommendations: A Retrospective Analysis across International Health Technology Assessment Agencies Ciani, Oriana Grigore, Bogdan Blommestein, Hedwig de Groot, Saskia Möllenkamp, Meilin Rabbe, Stefan Daubner-Bendes, Rita Taylor, Rod S. Med Decis Making Original Research Articles BACKGROUND: Surrogate endpoints (i.e., intermediate endpoints intended to predict for patient-centered outcomes) are increasingly common. However, little is known about how surrogate evidence is handled in the context of health technology assessment (HTA). OBJECTIVES: 1) To map methodologies for the validation of surrogate endpoints and 2) to determine their impact on acceptability of surrogates and coverage decisions made by HTA agencies. METHODS: We sought HTA reports where evaluation relied on a surrogate from 8 HTA agencies. We extracted data on the methods applied for surrogate validation. We assessed the level of agreement between agencies and fitted mixed-effects logistic regression models to test the impact of validation approaches on the agency’s acceptability of the surrogate endpoint and their coverage recommendation. RESULTS: Of the 124 included reports, 61 (49%) discussed the level of evidence to support the relationship between the surrogate and the patient-centered endpoint, 27 (22%) reported a correlation coefficient/association measure, and 40 (32%) quantified the expected effect on the patient-centered outcome. Overall, the surrogate endpoint was deemed acceptable in 49 (40%) reports (k-coefficient 0.10, P = 0.004). Any consideration of the level of evidence was associated with accepting the surrogate endpoint as valid (odds ratio [OR], 4.60; 95% confidence interval [CI], 1.60–13.18, P = 0.005). However, we did not find strong evidence of an association between accepting the surrogate endpoint and agency coverage recommendation (OR, 0.71; 95% CI, 0.23–2.20; P = 0.55). CONCLUSIONS: Handling of surrogate endpoint evidence in reports varied greatly across HTA agencies, with inconsistent consideration of the level of evidence and statistical validation. Our findings call for careful reconsideration of the issue of surrogacy and the need for harmonization of practices across international HTA agencies. SAGE Publications 2021-03-10 2021-05 /pmc/articles/PMC8108112/ /pubmed/33719711 http://dx.doi.org/10.1177/0272989X21994553 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Articles
Ciani, Oriana
Grigore, Bogdan
Blommestein, Hedwig
de Groot, Saskia
Möllenkamp, Meilin
Rabbe, Stefan
Daubner-Bendes, Rita
Taylor, Rod S.
Validity of Surrogate Endpoints and Their Impact on Coverage Recommendations: A Retrospective Analysis across International Health Technology Assessment Agencies
title Validity of Surrogate Endpoints and Their Impact on Coverage Recommendations: A Retrospective Analysis across International Health Technology Assessment Agencies
title_full Validity of Surrogate Endpoints and Their Impact on Coverage Recommendations: A Retrospective Analysis across International Health Technology Assessment Agencies
title_fullStr Validity of Surrogate Endpoints and Their Impact on Coverage Recommendations: A Retrospective Analysis across International Health Technology Assessment Agencies
title_full_unstemmed Validity of Surrogate Endpoints and Their Impact on Coverage Recommendations: A Retrospective Analysis across International Health Technology Assessment Agencies
title_short Validity of Surrogate Endpoints and Their Impact on Coverage Recommendations: A Retrospective Analysis across International Health Technology Assessment Agencies
title_sort validity of surrogate endpoints and their impact on coverage recommendations: a retrospective analysis across international health technology assessment agencies
topic Original Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8108112/
https://www.ncbi.nlm.nih.gov/pubmed/33719711
http://dx.doi.org/10.1177/0272989X21994553
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