Demonstrating Efficacy via Surrogate Endpoints - May 2021 - Blue Matter ...
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New Ideas. Better Results. A strategic consulting firm serving the life science industry. To learn more about Blue Matter, visit www.bluematterconsulting.com © 2021 Blue Matter
Introduction Surrogate endpoints are expected to gain greater significance in reimbursement and access decisions, as better diagnosis and treatment turn previously deadly diseases into chronic manageable conditions. However, many challenges exist with surrogate validation, with regulators and different payers having inconsistent requirements. In this now expanded review, we look at the regulatory and payer guidance on this topic, as well as several case studies of successful and not-as-successful surrogate validation: Disease Infectious CV Oncology / hematology areas disease Keytruda Kymriah Polivy Gazyva Sovaldi Praluent Perjeta Perjeta Products NNRTI (pembrolizu- (tisagenlec (polutuzumab (obinutuzu (sofosbuvir) (alirocumab) (pertuzumab) (pertuzumab) mab) -leucel) vedotin) -mab) Surrogate Virologic CR, PFS, SVR12 LDL-c DFS RFS pCR CR, MRD MRD, PFS endpoints response others Lastly, we summarize current challenges and steps pharma could take to increase their chances of success with product development via surrogate endpoints. © 2021 Blue Matter 3
Glossary AA accelerated approval ITT intention-to-treat AE adverse event LDL low-density lipoprotein ASMR improvement in medical benefit (amélioration du service médical rendu) MAA marketing authorization application CADTH Canadian Agency for Drugs and Technologies in Health MoA mechanism of action CDF Cancer drug fund NICE National Institute for Health and Care Excellence CI confidence interval N+ lymph node positive CV cardiovascular OS overall survival DFS disease-free survival pERC pan-Canadian Oncology Drug Review expert review committee eBC early breast cancer pCR pathological complete response EFS event-free survival PFS progression-free survival Joint federal committee of German public health agencies (Gemeinsamer G-BA QALY quality-adjusted life year Bundesausschuss) HAS French National Authority of Health (Haute Autorité de Santé) R correlation coefficient HCC hepatocellular carcinoma RCT randomized controlled trial HCV hepatitis C virus RFS relapse-free survival HR hazard ratio SoC standard of care HR hormone receptor STE surrogate threshold effect IFN interferon SVR sustained virologic response Institute for Quality and Efficiency in Health Care (Institut für Qualität und IQWIG Tx treatment Wirtschaftlichkeit im Gesundheitswesen) VR virological response © 2021 Blue Matter 4
Table of Contents 01 Background and Context 02 Payer Guidance 03 Case Studies 04 Challenges and Opportunities © 2021 Blue Matter
Surrogate endpoints are increasingly important as previously deadly diseases become chronic conditions through better diagnosis and treatment Surrogate “A clinical trial endpoint used as a substitute for a direct measure of how a patient feels, functions, or survives. When a endpoint surrogate endpoint clearly predicts a beneficial effect through appropriate studies, its use generally allows for more efficient drug development programs.” - FDA Application in different disease areas: In oncology / heme, better treatment In long-term diseases such as HCV, HIV and • For rare diseases, unmet medical needs options are extending life and drug cardiovascular disease, surrogate are supportive of surrogate endpoints, but development is increasingly moving to early endpoints are used, given challenges of data scarcity often means potential stages of disease e.g., (neo)adjuvant measuring long-term outcomes (long surrogates are not well validated / • Trials with OS are often unfeasible, and duration, rare events). understood. surrogates are used • Given the complexity of developing • The proportion of oncology marketing endpoints for rare diseases, we will authorization applications (MAAs) which address this in a separate analysis. had immature OS doubled between 2009- 2013 (19%) and 2013-2017 (39%)1 © 2021 Blue Matter 6
Regulators accept many surrogate endpoints for traditional and accelerated/ conditional approvals 100 89 80 60 80% 100% 40 17 20 11 0 80% of accelerated 100% of Traditional approval Accelerated approval Traditional or assessments conditional approvals accelerated between 2011-2018 were based on surrogates1 The FDA has accepted >120 surrogate endpoints2-4 © 2021 Blue Matter 7
Validation of surrogates requires patient-level and trial-level data; clear rationale and biological plausibility are also supportive of validation Considerations for surrogate validation5-8 True endpoint (e.g., OS) Statistical evidence: Rationale: why surrogate endpoint Patient-level association: the surrogate is preferred (e.g., high unmet need, and the true endpoint correlate on a patient- rare events, long follow-up, difficult level irrespective of treatment. This can be to measure true endpoint) done in a single trial and is of prognostic Regression value (e.g. useful for patient management) Patient Surrogate endpoint (e.g., DFS) true endpoint (e.g., OS HR) Statistical evidence: Treatment effect in Biological plausibility: association Trial-level association: treatment effect on between disease mechanism, the surrogate correlates the treatment effect surrogate and true endpoint (e.g., on the true endpoint. Meta-analysis required, epidemiologic evidence, animal ideally with data from similar studies (class models, disease pathogenesis, drug of drug, treatment duration etc). It is of Regression mechanism) predictive value and useful for assessing the Trial benefit of new treatments Treatment effect in surrogate (e.g., DFS HR) Strength of evidence: Limited © 2021 Blue Matter High 8
Where trial-level association is insufficiently clear, the Surrogate Threshold Effect (STE) can be used to demonstrate validity Surrogate Threshold Effect (STE)9 STE: Threshold by which treatment effect on the surrogate would predict a statistically significant effect on the true endpoint. It is particularly STE useful when trial-level association is considered insufficient. No significant effect on true endpoint Significant effect on true endpoint true endpoint (e.g., OS HR) Treatment effect in Example: A meta-analysis of the correlation between OS and PFS in metastatic breast cancer finds that the STE for HR PFS = 0.6. This means that if a treatment (of the same class and in the same indication) achieves 1.0 HR PFS of below 0.6, this predicts a significant, positive effect on OS. Regression 95% CI No effect on OS G-BA/IQWIG has an additional, stricter preference that the entire 95% CI Treatment effect in surrogate (e.g., DFS HR) of HR PFS should be below the STE, not just the HR PFS itself 10 (please see slide 13). The aim is to decrease false positives, but in practice, it is extremely difficult for studies to fulfil the G-BA/IQWIG requirements. © 2021 Blue Matter 9
Assessment by Cortazar et al., on pCR was an early example of patient and trial level analysis and highlights need for trial-level association Patient-level • Cortazar et al.11(at the FDA) investigated the validity of pathological complete response (pCR) as a surrogate for OS in breast cancer treated with neoadjuvant chemo • The study included data from 12 international neoadjuvant trials (11955 patients for patient-level analysis and 9440 patients for trial-level analysis) – Patients who achieved pCR had higher OS with a HR of 0.36 on patient-level association – However, trial-level analysis showed that change in pCR did not correlate with change in OS Trial-level • This suggest that while pCR is of prognostic value for individual patients, there is limited predictive value for therapies. There are several explanations of why this may be the case: – Heterogeneity in breast cancer types, which may respond differentially to treatment – Absolute differences in pCR was relatively small in most trials (chemo only), which could have obscured association R2 = 0.24 FDA and EMA both approved Perjeta in this setting based on pCR data. However, this acceptance is challenged in the academic literature12,13 and by payers (please see case study of Perjeta). © 2021 Blue Matter 10
Payer Guidance on Surrogates © 2021 Blue Matter
EUnetHTA has published guidelines on surrogate endpoint assessment, outlining three-levels of validation based on trial/patient association and biological plausibility Similar to regulators, EUnetHTA (2013) suggest a three-level categorization14, 15: no consensus, but correlation values Level 1 Trial-level association (meta-analysis of multiple RCTs) of 0.85 to 0.95 often discussed; STE can be used if correlation is lower Patient-level association (epidemiological/observational studies/single Level 2 RCT) Important but insufficient15 Biological plausibility (pathophysiological studies and/or understanding of Level 3 disease process) EUnetHTA considers the the validation of surrogates to be: ✔ Disease-specific (stage of disease-specific) ✘ Never definite (can change based on new data) ✔ Population-specific e.g. age, gender, comorbidities ✔ Technology(/drug class)-specific © 2021 Blue Matter 12
Some national payer agencies have also developed guidance, with CADTH, IQWiG and NICE providing the most detail on methodological requirements Agency Methods for validation of surrogate endpoints16 Considers surrogates as valid if there is a “strong, independent, consistent association” with the true endpoint and there is “evidence from randomized trials that […] improvement in the surrogate end point has consistently lead to improvement in the target outcome.” In oncology, the use of a surrogate outcome in health technology assessments must be accompanied by extrapolations to OS. Three types of relationships are possible depending on the best available evidence accompanied by appropriate justification: • The surrogate outcome is entirely predictive of OS. CADTH17 • The surrogate outcome is somewhat predictive of OS. (Canada) • The surrogate outcome has no proven relationship with OS. Analysis of patient-level and trial-level association is the preferred method (including potential application of the STE), and trial-level association is the most relevant for determining surrogacy in benefit assessments (summary of guideline on slide 18) IQWiG10 (Germany) No specific guidelines on surrogate validation but state that “the uncertainty associated with the relationship between the endpoint and health- related quality of life or survival should be explored and quantified” In addition, instead of criteria about the correlation, it is important to look at predicted estimates and their uncertainty because the strength (or weakness) of the surrogate relationship will manifest itself in the width of the predicted interval of the treatment effect on the final outcome. “Multivariate meta-analytic methods provide such a framework as they, by definition, take into account the correlation between the NICE (UK)18-19 treatment effects on the surrogate and final outcomes as well as the uncertainty related to all parameters describing the surrogate relationship.” © 2021 Blue Matter 13
IQWiG has the most specific, if stringent criteria, for surrogate validity IQWiG considers four levels for surrogate validity 1) proof 2) indication, 3) hint, 4) no proof. This is determined mainly by the reliability of the validation evidence (i.e. the quality, quantity and suitability of data in the validation study) and by the strength of trial-level association10 Strength of correlation Considers the degree of trial-level association between the surrogate and true endpoints Medium (Lower bound of 95% CI of R, High (Lower bound of 95% CI of R ≥ 0.85) Low (Lower bound of 95% CI of R ≤ 0.7) 0.7 < R < 0.85) Proof of validity, conclusions on true Proof of lack of validity, no proof of effect High 1 endpoint possible on true endpoint Reliability of validation Limited 2 evidence Unclear validity, effect on true endpoint dependent on effect size and STE Considers certainty of results (number of studies, Moderate 3 transferability of results) Low Unclear validity, no proof of effect on true endpoint If 95% CI of surrogate treatment effect If 80% CI of surrogate treatment effect If 80% CI of surrogate treatment effect not wholly below STE wholly below STE wholly below STE Unclear validity, 1 - High reliability Proof of validity Indication of validity No proof of effect on true endpoint effect on true endpoint dependent 2 - Limited reliability Indication of validity Hint of validity No proof of effect on true endpoint on effect size and STE 3 - Moderate reliability Hint of validity No proof of effect on true endpoint In addition, the validity of the surrogate endpoint can be downgraded, e.g. high risk of bias, discrepancies in treatment durations between study arms of validation trials The table assumes that the validation shows a positive correlation between surrogate and true endpoints (slope of regression not equal to 0). © 2021 Blue Matter 14
Case Studies on Payer Assessment of Surrogate Endpoints © 2021 Blue Matter
We chose Germany, France and UK for in-depth review given their high evidence requirements, international influence and in-depth publications Publication of Countries Commercial potential High evidence requirements International influence Selection of analysis HTA results US ✓✓✓ ✓ ✓✓ ✓✓ Germany ✓✓ ✓✓✓ ✓✓✓ ✓✓✓ Selected France ✓✓ ✓✓✓ ✓✓✓ ✓✓✓ Selected UK ✓ ✓✓✓ ✓✓✓ ✓✓✓ Selected Canada ✓ ✓✓✓ ✓✓ ✓✓ Some analogs examined Italy ✓ ✓ ✓✓ ✓ Spain ✓ ✓ ✓✓ ✓ Japan ✓✓ ✓✓ ✓✓ ✓ ✓ Low ✓✓✓ High 16 © 2021 Blue Matter
Validation of surrogates for payer assessments is highly challenging. Here we outline a few successful (and not as successful) validations to identify learnings (1/2) For the case studies, we focus on a few examples that deliver unique learnings. We also focus on 4 markets which publish detailed evaluations. Disease Drug/classes Surrogate True Indication G-BA NICE/ SMC HAS CADTH area examined endpoint endpoint Surrogate Overall Surrogate Overall Surrogate Overall Surrogate Overall SVR24, Sovaldi Chronic SVR12 HCC, Infectious (sofosbuvir) Hepatitis C mortality disease virologic Risk of NNRTI HIV response AIDS/death Primary Cardio- Cardio- Praluent hypercholester vascular LDL-c vascular (alirocumab) olemia / mixed disease events dyslipidemia* Perjeta HER2+ eBC DFS OS (pertuzumab) adjuvant Keytruda Adjuvant Oncology (pembro- RFS OS melanoma lizumab) Perjeta Neo-adjuvant pCR OS* (pertuzumab) HER2+ NOTE: to highlight the impact of surrogate endpoints on assessment outcomes, we reviewed the first payer assessments in the relevant indications. Additional payer assessments may have since been conducted. * The indication in Canada is heterozygous Favorable Unfavorable familial hypercholesterolemia or clinical atherosclerotic cardiovascular disease Intermediate Not evaluated by HTA 17 © 2021 Blue Matter
Validation of surrogates for payer assessments is highly challenging. Here we outline a few successful (and not as successful) validations to identify learnings (2/2) For the hematology case studies, we focus on a few examples that deliver unique learnings. We also focus on 3 markets which publish detailed evaluations. Disease Drug/classes Surrogate True Indication G-BA NICE HAS area examined endpoint endpoint Surrogate Overall Surrogate Overall Surrogate Overall Polivy CR/PFS/ r/r DLBCL OS (polatuzumab) others Kymriah Hemato- (tisagenlec- r/rALL CR/MRD OS logy leucel) Gazyva 1L CLL MRD/PFS OS (obinutuzu-mab) NOTE: to highlight the impact of surrogate endpoints on assessment outcomes, we reviewed the first payer assessments in the relevant indications. Additional payer assessments may have since been conducted. Favorable Unfavorable * CADTH considered EFS Intermediate Not evaluated by HTA 18 © 2021 Blue Matter
Sovaldi in HCV: sustained virological response (SVR) is accepted as a surrogate based on precedence and patient-level association Countries Surrogate validity6 Evaluation Reasons Treatment-naive/Genotype 2: significant improvement of Not a validated surrogate per se due to missing validation studies. Depending on SVR combined with possibility to have interferon-free However, SVR is considered a sufficiently validated surrogate for subgroup: indication regimen with reduced AE Germany occurrence of HCC since a meta-analyses25-28 showed a clearly lower of considerable Other subpopulations with hint of minor added benefit: only (July 2014) risk for patients who achieved SVR. The additional benefit is considered added benefit / hint of single arm studies show SVR and AEs, but reduced non-quantifiable since the data comes from observational studies. minor added benefit / treatment duration with less AEs Insufficient data for assessing surrogacy for other endpoints (e.g., OS). no additional benefit20 No benefit: insufficient data for other subgroups Validity of SVR for HCC risk or OS not directly addressed. However, TC ASMR II for all except The clinical data suggest Sovaldi alone or in combination report states “the aim of treatment is to cure the infection, defined by for treatment-naive with other molecules can help cure the majority of France SVR... after the end of treatment” genotype 3; ASMR III patients with HepC with or without non-liver complications. (May 2014) Also referenced relationship between SVR12 and SVR24 “agreement for treatment-naive The product’s place in the therapeutic strategy should be between SVR12 and SVR24… demonstrates a positive indicative value of genotype 3 21 reassessed as more therapies are approved. 99% and a negative indicative value of 99%” Not directly addressed but accepted based on historical precedence Recommended for “company submitted a multi-state Markov model… People who had Concerns about the robustness of the clinical UK certain treatment/ antiviral treatment could move into the non-cirrhotic or SVR cirrhotic effectiveness across different subgroups given that most (Feb 2015) genotype health states...” “model was broadly consistent with previous models trials were single-arm and open-label subgroups22 considered in NICE technology appraisals for hepatitis C24” SVR at 12 weeks is accepted as a valid surrogate for SVR at 24 weeks Recommended for Canada since a meta-analysis of 15 Phase 2 and 3 studies showed a positive and Various single-arm studies and RCTs show high rates of certain genotype 1-3 (Jan 2018) negative predictive value of >98%; no commentary on validation of SCV in subgroups of patients infected with genotypes 1-3 subpopulations23 SVR against HCC / survival Please see next slide for a summary of meta-analyses in HCV. Many payers did not even question the relationship between SVR and true endpoints such as HCC / death Acronyms: HCC hepatocellular carcinoma, SVR sustained virological response Favorable Intermediate Unfavorable © 2021 Blue Matter 19
Sovaldi benefitted from decades of research on HCV, with strong, consistent patient- level association demonstrated over multiple meta-analyses More studies exist but not summarized given large body of data Publication Cited by Scope Outcome of meta-analysis Conclusions year • Incidence rates (per 100 person-years) of HCC, liver-related • 307 chronic HCV patients with bridging fibrosis or complications, and liver-related death, were 1.24, 0.62, and cirrhosis were analysed 0.61 among SVR patients, and 5.85, 4.16, and 3.76 among non- NICE24 2010 • Treatments with peginterferon and ribavirin SVR patients • Median follow up of 3.5 years post treatment • Non-SVR was an independent predictor of HCC (HR 3.06), liver- related complications (HR 4.73), and liver-related death (HR 3.71) SVR is durable and strongly • 26 observational cohort studies of HCV treatment • Patients with SVR are significantly less likely to develop liver- correlated with G-BA25 2010 failure patients related mortality (relative risk [RR], 0.23), HCC (RR, 0.21), or patient-level • Study follow up duration is 2.8-11 years hepatic decompensation (RR, 0.16) outcomes • SVR was durable (98.4%–100%) • 6 cohort studies with at least 2 years of follow up • SVR reduced liver-related mortality among patients with chronic G-BA16 2011 data (2.1-9.8 years) HCV (3.3- to 25-fold), the incidence of hepatocellular carcinoma • Tx: IFN, IFN/RBV, or PEG-IFN/RBV (1.7- to 4.2-fold), and hepatic decompensation (2.7- to 17.4-fold) • SVR at 4 and 12 weeks vs SVR at 24 weeks SVR 12 is • 15 phase 2 and 3 trials, 3 pediatric studies, and 5 • The positive predictive value of SVR12 was 98% and the negative highly drug development programs CADTH27 2013 predictive value was 99% for SVR24 correlated with • Interventions: interferon, pegylated-interferon, • About 2% of subjects who achieved an SVR12 subsequently SVR 24; SVR12 ribavirin, and direct-acting antivirals relapsed by week 24 is also durable As a surrogate endpoint, SVR has clear biological plausibility and strong patient-level association. Payers accepted it despite lack of trial-level association and heterogeneous data from different MoAs (HCV polymerase inhibitor vs. interferon, nucleoside inhibitor). Of note, G-BA/IQWiG considered the additional benefit based on surrogate endpoint unquantifiable (data quality issues), but upgraded the benefit in certain subgroups based on reduced AEs © 2021 Blue Matter 20
Similar to HCV, modern antivirals for HIV benefited from decades of research that demonstrated strong patient-level correlation “No clear correlation has been found between effects of the intervention on the surrogate and the patient-relevant outcome that the surrogate is supposed to replace. Nevertheless… the Institute considers the surrogate to have “sufficient validity” is justified, particularly in view of the dramatic improvements in prognosis for HIV patients in terms of IQWIG28: survival and progression of the disease… The increased uncertainty is taken account of by the rating assigned to the extent of the added benefit (rating of any added benefit as “non-quantifiable”)”. “Drug studies aimed at reducing the viral load have led to a dramatic improvement in the prognosis for HIV patients with regard to survival and onset of the disease in everyday (real-world) treatment. ✔ The biological model is plausible ✔ The correlation between the individual change in viral load and the risk of AIDS-defining diseases / death is very clear • Data at study level (meta-regressions) also do not contradict this association, even if there is hardly any clear correlation between the effects on the surrogate and the effects on the patient-relevant endpoint “AIDS-defining G-BA29: diseases / death”. In these studies, the association is likely to be watered down by the inclusion of many non-inferiority (close to zero) studies. For this reason, the extent of the added benefit for the combined outcome “AIDS-defining diseases / death” cannot be quantified on the basis of the surrogate." Payers in other countries examined (France, UK, Canada) all accepted the validity of VR for modern antivirals without HAS, NICE, significant discussions “CD4 cell counts and viral suppression are well-accepted markers of future clinical events.” CADTH: © 2021 Blue Matter 21
LDL-C in Praluent (primary hypercholesterolemia or mixed dyslipidemia): payers in different countries reached different conclusions on surrogate validity Countries Surrogate validity Evaluation Reasons No commentary on surrogate endpoint by G-BA since it considered LDL-C levels were considered not patient-relevant since Germany none of the submitted studies were relevant for the benefit No proof of the significant reduction in LDL-C levels did not translate (May assessment; IQWiG considers LDL-c to be a non-validated additional benefit30 into differences in patient-relevant endpoints such as 2016) surrogate (please see next slide) reduced cardiovascular events. The efficacy was evaluated only in the reduction of LDL- C levels and there is no data justifying the efficacy of TC considered LDL a biological criteria rather than morbidity or France alirocumab in terms of morbidity and mortality mortality-related endpoint; no specific comments on validation of Insufficient benefit31 (Apr 2016) (Later obtained ASMR 4 based on reduction in LDL as a surrogate for CV outcomes or mortality apheresis frequency in a high unmet need subpopulation) The company presented the Navarese meta-analysis data from UK PCSK9 inhibitor trials which showed decreasing LDL-C levels Recommended for Treatment was considered cost-effective using either the (June decreases all-cause/CV mortality. NICE considers the larger and NHS use32 Navarese or the CTTC validation studies 2016) more well validated CTTC meta-analysis of statins to be the more appropriate data LDL‐C is widely accepted as a valid indicator of CV risk, based Canada on evidence from clinical studies that have shown that changes in Reimbursement Significant lowering of LDL-C levels and cost-effective (if (July LDL‐C are correlated with the incidence of CAD‐related clinical recommended33 discount is granted) 2016) events, and LDL‐C has been used as a surrogate end point in other studies of PCSK9 inhibitors, including evolocumab Favorable Intermediate Unfavorable © 2021 Blue Matter 22
IQWiG considers LDL-c as a non-validated surrogate endpoint for mortality, coronary mortality and non-fatal myocardial infarctions Assessment Selected analysis outcome / additional Product Method Conclusion year comments Meta-regression across 14 studies; correlation of LDL-c “No statistically significant association was shown between the reduction to total mortality, degree of the difference of relative LDL cholesterol lowering and Statins34 2006 coronary mortality, and non- the degree of event reduction, neither for total mortality, nor for fatal myocardial infarctions coronary mortality, nor for non-fatal myocardial infarctions” were assessed If LDL-C was the sole cause of CV events, then progression rates at the same level of ”Undisputed that LDL is contributing to CV events, but LDL Review of atorvastatin and LDL-c for atorvastatin and pravastatin Ezetimibe35 2010 lowering per se has no patient relevant benefit since there is pravastatin data should be the same, but atorvastatin is no proof of a causal relationship” consistently lower. Thus, there must be a substance specific effect IQWiG considered that the ”LDL-C is at most a surrogate. The literature provided by the company presented no valid Lomitapide36 2015 company [4-20] also did not show that LDL-C is a (sufficiently) No specific meta-analysis provided for HoFH data to demonstrate valid surrogate for cardiovascular events in patients with HoFH” surrogacy Not explicitly stated why Navarese and CTTC Not specific validation study “Lowering of LDL-C levels... constituted a non-validated surrogate meta-analyses were not considered, but given Praluent37 2016 discussed outcome in the present constellation” broader comments, IQWiG may consider the patient population to be different © 2021 Blue Matter 23
In oncology, payers scrutinize for trial-level association. As a case study, we examined (i)DFS for Perjeta in adjuvant breast cancer (N+ or HR-) Company Roche Trial results FDA / EMA • Adjuvant chemo + trastuzumab +/- pertuzumab Dec 2017 / May 2018 approvals • Trial included patients which were HER2+ independent of HR- status with either N+ or high-risk N- In combination with trastuzumab and chemotherapy as • Small but significant effect on ITT: iDFS HR of 0.81 (p = 0.045) Indication an adjuvant treatment of patients with HER2+ early breast cancer at high risk of recurrence (N+ or HR-) • Larger effect on node-positive (N+): iDFS unstratified HR of 0.77 (p = 0.02) Study of • OS data immature (HR = 0.89, p = 0.47) APHINITY (NCT01358877) interest Surrogate validity data38,39 Statistical model • Roche argued that (i)DFS is an appropriate surrogate for OS in this setting, since • Patient-level association: joint distribution of the mortality is low in early HER2+ breast cancer and trials would therefore require very surrogate endpoint and the true endpoint were long observation periods for mature OS data estimated with a copula-based model (Clayton’s, • Roche provided two validation studies (one for iDFS39 and one for DFS38) which both Hougaard’s or Plackett’s) which provided the maximum include 8 trials with 21,480 patients of HER2-targeted therapies in combination with likelihood value. Strength of association was chemo with identical treatment duration determined using Spearman’s rank correlation coefficient • Subgroup analysis was performed to only include Perjeta target groups (early HER2+, HR- or N+, treated with HER2-therapy); the R value for the patient-level association • Trial-level association: Proportional hazards model between OS and DFS was 0.90, and the R2 for the trial-level association between was used to estimate HRs for DFS and OS. Linear HROS and HRDFS was between 0.75 [95% CI 0.5-1.0] and 0.84 [95% CI 0.67-1.0] regression on log-transformed HRs • The surrogate threshold effect was estimated to be between 0.56 and 0.81 • In all analysis, the estimation error for estimated HRs depending on the number of deaths in the trial (since the regression models were was taken into account using a measurement-error weighted by number of a deaths ) model (or if not possible a weighted regression model) iDFS: time from randomization until the date of the first occurrence of one of the following events (hereafter referred to as invasive-disease events): recurrence of ipsilateral invasive breast tumor, recurrence of ipsilateral locoregional invasive © 2021 Blue Matter 24 disease, a distant disease recurrence, contralateral invasive breast cancer, or death from any cause
While methodologically correct, payers were generally unconvinced of the results of the trial-level association, which fell below STE specified by IQWiG Countries Surrogate validity Evaluation Reasons The validation study is adequate to probe the surrogate validity and shows a medium correlation between DFS and OS (i.e., lower boundary of 95% The significant, albeit moderate reduction in relapse rate CI of 0.7 < R < 0.85) meaning the validity is unclear and STE has to be and (i)DFS is patient-relevant and outweigh the increased Germany Hint for minor considered. While Perjeta’s effect on DFS HR was significant, it did rate of AE. "The endpoint “disease-free survival (DFS)” is (Jan 2019) not meet the STE criteria (i.e. 95% CI of DFS HR [0.64,0.96] was not additional benefit40 included in the present assessment as an independent, wholly below STE 0.80-0.82). Hence, no significant effect on OS can be patient-relevant endpoint" inferred from the size of Perjeta’s treatment effect on DFS While not specifically assessed as a surrogate, TC did consider iDFS data France No clinically relevant benefit on iDFS combined with in its assessment. However, TC concluded that the change in iDFS of Insufficient benefit41 (Jun 2019) increased toxicity 1% too low to be clinically relevant Acknowledges difficulty in obtaining mature OS data for adjuvant Recommended for N+ patients as cost-effectiveness is Recommended for UK treatment. States that in the absence of OS, iDFS is the only available comfortably below £20k/QALY. Incremental treatment use within NHS for (Mar 2019) data for decision-making, though the extent to which iDFS translates benefit in ITT is likely to be small but absolute benefit in N+ N+ subgroup42 into OS benefit is not known likely to be greater. In the final decision, the pERC concludes that (i)DFS is not yet a No clinically meaningful benefit as no proven difference in validated surrogate for OS in this setting, though the Clinical Guidance OS, and high level of uncertainty around iDFS benefit Canada Reimbursement not Panel states that in the absence of an OS benefit, the surrogate iDFS is given the trial was not designed to detect treatment (Nov 2018) recommended43 likely a reasonable endpoint for decision making and that there is likely a effects within subgroups (N+ vs N- or HR- vs HR+). small but clinically meaningful clinical benefit in N+. Could not draw conclusions on cost-effectiveness. Favorable Intermediate Unfavorable © 2021 Blue Matter 25
In contrast, Keytruda validation of RFS produced trial-level association which was comfortably below the STE in adjuvant node+ melanoma Company Merck Trial results FDA / EMA • Adjuvant pembro vs placebo in stage III N+ melanoma Feb 2019 / October 2018 approvals • Patients stratified by PD-L1 expression (positive vs negative) Adjuvant treatment of patients with melanoma with • 12 mos RFS: 75.4% with pembro vs 61.0% with placebo Indication involvement of lymph node(s) following complete (HR = 0.57, p
Even then, NICE pERG cautioned against using RFS as a surrogate given concerns over tx & patients included, statistical assumptions and changing tx paradigms Countries Surrogate validity Evaluation Reasons RFS is patient-relevant and results showed a clear, clinically RFS considered as patient-relevant endpoint in the category of Indication of non- Germany relevant benefit of pembro which was of unquantifiable “morbidity” (not a surrogate); no specific discussion on surrogate quantifiable added (Mar 2019) benefit due to short observation period. In terms of AE, validation identified benefit46 pembro has a clear disadvantage. While RFS validity as a surrogate was not directly assessed, RFS data Moderate Evaluation takes into consideration superiority of RFS vs France was key to the positive TC evaluation; in effect, TC considered RFS to improvement in placebo, significant medical need given high recurrence (Jun 2019) be an appropriate endpoint in measuring clinical benefit in the actual benefit rate, AE profile and immature OS data adjuvant setting (ASMR III)47 While the meta-analysis suggests the HR achieved by pembro should be sufficient to predict a treatment benefit on OS, the evidence review group cautioned against using it as a surrogate given i) data comes from Recommendation based on high unmet need in stage III UK interferon treatment which is not used in NHS, ii) statistical assumptions, iii) Recommendation for melanoma with lymph node involvement and complete (Dec 2018) different patient characteristics in meta-analysis vs pembro study, iv) data use in CDF48 resection. Long-term RFS benefit uncertain as clinical trial included older studies which do not represent progress made in treatment. was ongoing at the decision time Based on the promising effects on RFS, pembro may improve overall survival compared to surveillance but will have to be confirmed with OS data The pERC considers RFS as an appropriate surrogate endpoint if Recommendation based on statistically significant and RFS HR
Failure of a curative intent is considered patient-relevant by G-BA; NICE accepted inclusion of iDFS and RFS endpoints in the economic models Countries Evaluation RFS - pembrolizumab in adjuvant melanoma Company referenced the pertuzumab decision: “In this patient group, a relapse is a patient-relevant event. The occurrence of a relapse means that the attempt to cure using the curative therapeutic approach was unsuccessful [although it is Indication of unclear whether the therapy actually leads to a cure]. When considering an event time analysis of the non- G-BA relapse, it is possible that with similar proportions of events in the study arms, an advantage of the quantifiable therapy is derived solely from the different time periods until the occurrence of a relapse. However, it added benefit46 remains unclear what significance - for the course of the disease - a shift in the time of diagnosis of a relapse has.” Therefore, the proportion of patients with relapse and the associated failure of the curative therapeutic approach is more important than RFS.46 NICE accepts the company’s economic model which uses data from the RFS and OS Recommend- NICE endpoints. However, NICE comments that distant RFS and OS data are incomplete and that this ation for use in results in the included estimates to be unreliable and implausible. NICE recommends collecting more CDF48 data to resolve this uncertainty.48 © 2021 Blue Matter 28
It was discussed earlier that regulators accepted pCR as a surrogate despite a lack of trial-level association Company Roche Trial results52 FDA / EMA • (NeoSphere trial) The benefit of adding pertuzumab to the Sept 201350,51 / Mar 201552 approvals D+T combination was assessed using pCR (defined as ypT0/isypN0 OR ypT0/is). Results showed a significant Combination with trastuzumab & chemo for neoadjuvant increase in pCR when pertuzumab was added to the Indication Tx of pts with HER2+, locally advanced, inflammatory, combination, irrespective of the definition used: or early stage BC at high risk of recurrence. • ypT0/isypN0: 17.8% increase (p=0.0063); ypT0/is: 16.8% Study of increase (p=0.0141) NEOSPHERE interest Surrogate validity data11 Statistical model11 • A meta-analysis of 12 trials including 11955 • HRs or EFS and OS (calculated with Cox proportional patients investigated the correlation between hazards models) were compared with and the odds different definitions of pCR (ypT0 ypN0, ypT0/is ratios of pCR (calculated with logistic regression ypN0, and ypT0/is) and EFS/OS in various models). subgroups • The coefficient of determination (R²) and the associated • Tumor eradication from both breast and lymph 95% CI to measure the correlation between pathological nodes (ypT0 ypN0 or ypT0/is ypN0) was better complete response and EFS and OS by treatment effect associated with EFS and OS (HR 0,44 and HR were calculated using a two-stage model to adjust for 0.36) than tumor eradication from breast only (HR the estimation error of treatment effect size estimates 0.60, HR 0.51) • Despite this, a trial-level analysis assessing the suitability of pCR as a surrogate for EFS or OFS found little association (R2 = 0.03 for EFS, and R2= 0.24 for OS) pCR: absence of invasive neoplastic cells at microscopic examination of the primary tumor at surgery. Remaining in-situ ypT0/isypN0 = Absence of invasive cancer in the breast and axillary nodes; lesions were allowed. Pathologists at participating centres followed DCIS allowed, guidelines for the assessment of pCR on serial sections of the © 2021 Blue Matter ypT0/is = Absence of invasive cancer in the breast and DCIS allowed; 29 cervical specimen. Blinded pathology data were reviewed by a regardless of nodal involvement; D= Docetaxel; T = Trastuzumab consultant pathologist at regular intervals to ensure consistency.
However, payers considered validation to be insufficient, and gave mostly negative evaluations; unlike DFS/RFS, pCR itself was also not considered patient-relevant Countries Surrogate validity Evaluation Reasons The surrogacy of pCR was deemed of unclear validity since the validation studies only show a correlation between pCR and OS on a Due to unclear surrogacy for OS [pCR] could not be taken patient-level basis, but did not demonstrate this on a trial-level. In into account for consideration of benefit. In addition, it is Germany No proof of addition, the validation studies did not take into account the difference unclear whether the magnitude of the benefit observed in (Feb 2016) additional benefit53 in association among molecular subtypes (e.g., luminal B-like, pCR is relevant since there was no significant difference in HER2+ like) which have been shown to benefit to differing degrees from OS or recurrence/relapse rate/DFS pCR on a patient-level There is insufficient evidence of clinical benefit given the France statistical shortcomings: The Phase 2 study performed a Not specifically discussed Not recommended54 (July 2016) three non-hierarchical analysis on the primary endpoint which cannot be considered a confirmatory study The committee concluded that there was evidence that Given the validation study was unable to validate pCR as a surrogate, pertuzumab could improve pCR rates when added to UK the committee expressed concerns about the reliability of pCR as a Recommended for trastuzumab and docetaxel, and that that pCR was more (Dec 2016) surrogate for OS and it notes that the trial was not powered for long-term use in NHS55 likely than not to have an association with longer-term outcomes survival No clear net clinical benefit compared to trastuzumab and Canada pERC indicated that pCR has not been validated as a surrogate for docetaxel. These treatment options already key outcomes Not recommended56 (July 2015) either event-free survival or overall survival valued by patients: prolongation of survival and prevention of disease recurrence Favorable Intermediate Unfavorable © 2021 Blue Matter 30
Polivy in r/r DLBCL launched with a small (n=40) study with CR as primary endpoint and PFS, OS as secondary; it is also an orphan drug Orphan Drug POLIVY in combination with bendamustine and rituximab is indicated for the treatment of r/r DLBCL 1o endpoint CR57 2o endpoint PFS58 2o endpoint OS58 © 2021 Blue Matter 31
Kymriah in r/r ALL launched with a single-arm study with CR as primary endpoint and ORR, MRD, PFS and OS as secondary endpoints Orphan Drug r/r ALL Primary 60%) had complete remission, and 16 (21%) had 2o endpoint complete remission with incomplete endpoint CR59 hematologic recovery RFS60 2o 2o endpoint endpoint ORR / OS60 MRD60 RFS was defined as time since onset of CR or CRi to relapse or death due to underlying cancer, whichever is earlier, censoring for new cancer therapy including SCT © 2021 Blue Matter 32
Germany has a high bar for acceptance of surrogates; CR, DoR, MRD, PFS, EFS are often not accepted (see exceptions earlier) Country Surrogate validity Evaluation Reasons CR not a valid surrogate of a patient-relevant endpoint. Partial remission not relevant since hint for non- Polivy Statistically significant OS benefit in disease persists. PFS, DoR, EFS not patient- quantifiable favor of Polivy. However, imbalances in r/rDLBCL relevant which the company agrees with, since it's additional patient populations, small trial, and (Aug 2020)61 based on imaging and cytology and not on benefit comparator not widely used; orphan drug symptoms, and the mortality component is already included in OS DoR, EFS (time from infusion to non- occurrence of relapse or death) not Kymriah patient-relevant, RFS (time from CR to CR/CRi not a validated surrogate for patient- quantifiable r/rALL relapse* or death) unclear patient- relevant endpoint, MRD not a validated surrogate additional (Dec 2019)62 relevance (because unclear at the time benefit whether CAR-T is potentially curative) so additionally considered; orphan drug *relapse is defined as recurrence of >=1% blast cells in blood, >5% in bone marrow or recurrence or first occurrence of extramedullary disease **Additional comments: The mortality component of PFS is valid but already covered in OS, and the other components are of unclear patient-relevance, and overall, there are different views within G-BA on PFS (extent of additional benefit not influenced by this), Absence of symptoms is patient-relevant if patients perceive symptoms, and all other components of CR are of unclear patient-relevance. Favorable Intermediate Unfavorable © 2021 Blue Matter 33
UK – clinical opinion is considered but evidence thresholds are high; modelling based on PFS and OS are often decision drivers Country Surrogate validity Evaluation Reasons Company submitted cure-mixture model, but NICE ERG rejected the model citing lack of plateau in PFS KM curve, only 2-years of data from a small Clinical trial evidence shows increased Polivy patient sample, and “PFS may not be appropriate progression-free survival and overall Recommended r/rDLBCL for estimating long-term remission”; although clinical survival. The cost-effectiveness experts stated that at least in 1L, 24M CR is for use in NHS (Sep 2020)63 estimates are within range of acceptable associated with prolonged OS and there is some for NHS resources evidence in r/r, NICE concluded that there is insufficient evidence to justify a cured proportion CR/CRi not a validated surrogate for patient- relevant endpoint, MRD not a validated surrogate May extend survival or time to relapse, Kymriah but uncertain. No robust data that r/rALL Cost-effectiveness was mainly based on CDF Kymriah has curative effect though it has (Dec 2018)64 modelling/extrapolation of overall survival, which is a curative intent a secondary endpoint in a single-arm study Additional note: PFS is technically a surrogate endpoint, but unlike the G-BA, NICE does accept modeling based on PFS; PFS and OS data gathered as secondary endpoints are also accepted, supporting use of other surrogates (e.g., CR / MRD) as primary endpoint for clinical trials Favorable Intermediate Unfavorable © 2021 Blue Matter 34
France – out of the three countries, France is the most clinically focused; surrogates are often considered in the overall decision Country Surrogate validity Evaluation Reasons Weak methodology (exploratory trial without non-inferiority or superiority Polivy CR was discussed as a clinical data point, but hypothesis), infrequently used Insufficient comparator, uncertainties with CR r/rDLBCL considered unconvincing given the imbalances results due to unequal patient groups, no SMR (July 2020)65 observed between treatment arms robust OS gain data, no QoL data, uncertainties around lyophilized formulation Available data show a high percentage CR data important in positive evaluation (~40% of CR in a population with unfavorable Kymriah maintained in approximately 40% of patients after a prognosis (but no comparator arm so r/rALL median follow-up of 9 months); however, HAS ASMR III uncertainty and short follow-up) and (Feb 2019)66 considered that maintenance of clinical efficacy in significant short-term toxicity which the longer term remains uncertain influenced the ASMR rating Favorable Intermediate Unfavorable © 2021 Blue Matter 35
Gazyva in 1L CLL had a large RCT with primary PFS, secondary endpoints included CR and MRD Orphan Drug 1L CLL 2o endpoint CR68 Primary endpoint PFS67 2o endpoint MRD68 © 2021 Blue Matter 36
G-BA rejected MRD validation, NICE focused on PFS/OS data but HAS considered MRD data as part of its positive ASMR rating Country Surrogate validity Evaluation Reasons Validation of MRD-negativity at the end of treatment in Böttcher et al. from the CLL8 study is not appropriate Germany since neither the patient populations nor the treatments non-quantifiable OS immature and not significant but (May are comparable to the here presented CLL11 study additional indicative, so no quantification of additional 2015)69 (additional reasons: bias due to open-label, MRD was benefit benefit possible; orphan drug not a prespecified endpoint, not sufficiently powered to determine the treatment effect on OS)* PFS shows it is a clinically effective treatment compared with Clb or R-Clb (but the UK meta-analysis to indirectly compare to (June MRD not specifically assessed as surrogate CDF bendamustine was not reliable). Significant OS 2015)70 benefit of G-Clb over Clb, but data vs R-Clb incomplete Efficacy has been shown in terms of PFS and rate of residual disease, but increased AEs. France MRD data important in positive evaluation; no specific OS shows benefit but immature and not (July ASMR III surrogate validation discussed significant (8% vs 12% deaths, p=0.0849, 2016)71 mOS not reached in either group, later cutoff gives p=0.0632) *Additional comments: The mortality component of PFS is valid but already covered in OS, and the other components are of unclear patient-relevance, and overall, there are different views within G-BA on PFS (extent of additional benefit not influenced by this), Absence of symptoms is patient-relevant if patients perceive symptoms, and all other components of CR are of unclear patient-relevance. © 2021 Blue Matter Favorable Intermediate Unfavorable 37
CLL8 examined MRD in patients treated with FC or FCR; G-BA did not accept this as appropriate validation given different treatments (and population) Randomized GCLLSG CLL8 Trial72 Patients and Methods MRD in 1,775 blood and bone marrow samples from 493 patients randomly assigned to receive fludarabine and cyclophosphamide (FC) or FC plus rituximab (FCR) Patients were categorized by MRD into low- (< 10−4), intermediate- (≥ 10−4 to
As another example in heme, G-BA considered transplant “potentially curative” in AML, and therefore, relapse/EFS as patient-relevant FLT3+ 1L AML73 G-BA evaluation of relapse and DFS as surrogate endpoints74 Although the G-BA had other major concerns with midostaurin study design and data, it considered transplant as potentially curative, and therefore, prevention of relapse and EFS as patient-relevant “Due to the potentially curative therapeutic requirements of the therapy regimen carried out in the RATIFY study for the treatment of the previously untreated acute myeloid leukemia, relapses and disease-free survival are patient-relevant as the endpoint for the failure of the primary therapeutic approach and thus the potential cure of the disease” NOTE: RATIFY had OS as primary endpoint; therefore, we will not further discuss evaluation in other countries © 2021 Blue Matter 39
Challenges and Opportunities © 2021 Blue Matter
In summary, validating surrogates can be a challenging process, with limited consistent guidance but high data and modeling requirements Challenges • Official guidances are often insufficiently specific Requirements • Regulatory and payer requirements differ, with payers having higher evidence thresholds differ across • Requirements across payers differ, ranging from formal statistical assessments (e.g., stakeholders G-BA/IQWiG) to clinical interpretation (e.g., HAS); NICE / CADTH falls somewhere in the middle • While payers have accepted less than perfect analyses (e.g., lack of trial-level association) in certain Requirements indications (e.g., HCV, HIV), they scrutinize other disease areas in more detail differ across • Long-history/precedence of prior reimbursement decisions likely played a role in virology, as did the disease areas clear and dramatic effect on individual patient outcomes (e.g., HCC, death). Whereas in other disease areas (e.g., oncology), there are higher requirements for trial-level association. • Payers have high requirements for meta-analyses in terms of relevant patient populations, SoC Large amounts interventions, consistent treatment paradigm and correct statistical assumptions. This creates of tailored and challenges for any product, but especially those that are first-in-class or in a fast changing, competitive consistent data landscape required • Contradictory evidence (e.g., one or two examples of substance-specific effect for LDL-c) could lead to conclusion of no proof of surrogacy by some payers © 2021 Blue Matter 41
Pharma should focus on robust long-term data generation in high unmet need patients, and providing supportive patient-relevant outcomes Opportunities • Plan well in advance for long-term data collection, even as secondary endpoints not required for regulatory approval • Include some studies that are powered for true endpoint if at all possible Plan clinical • Focus on high unmet need subpopulations where a clear effect size can be shown development (e.g., Keytruda in N+ melanoma vs. Perjeta in N+ and N- breast); many payers will consider the clinical program to context and apply medical judgment in their final decisions address payer – Downside is that data for meta-analysis in specific subpopulations may be difficult to obtain requirements • Provide patient-relevant outcomes even if they are not the most preferred endpoints for payers (e.g., reduction of AEs for Sovaldi, reduction of LDL apheresis for Praluent) – Even in oncology, DFS/RFS are considered patient-relevant by the G-BA and other payers, whereas endpoints such as pCR only have surrogate validation to rely on Broaden scope of • Collaborate with academia/other pharma to generate data in relevant patients evidence • Consider effective use of RWE where relevant (e.g., acceptance of observational studies for HCV, generation potentially greater use of RWE as part of conditional reimbursement going forward) Collaborate and • Collaborate with academia when possible to conduct the meta-analyses (e.g., NICE preference for obtain feedback CTTC rather than company submitted analysis) on statistical • Obtain feedback early on modelling requirements, but multiple models/analyses may need to be validation developed to provide payers with greater certainty © 2021 Blue Matter 42
Different countries have different requirements; country-specific strategies should be developed, including demonstrating patient-relevance for Germany Likelihood of accepting the surrogate Patient-relevance as an alternative endpoint in the benefit assessment route to market access in Germany Considers best clinical • If a non-validated surrogate endpoint is considered to be understanding; may accept surrogate patient relevant, it can be included in the benefit endpoint in the absence of validation assessment (though in oncology usually under morbidity) studies • To be considered patient relevant, a surrogate endpoint needs to report on patient-perceived outcomes such as patient-reported symptoms or QoL Acceptance of some degrees of uncertainty in cost-effectiveness • Alternatively, a surrogate endpoint based on imaging/lab modeling parameters may be considered patient relevant if it shows the failure of a treatment with curative intent - Example: Disease recurrence (e.g., DFS, RFS) in a curative context of early tumor settings (e.g., adjuvant Insistent on bona fide surrogate BC40, 1L AML74) validation unless decades of data support transformative patient-level association (e.g., HCV, HIV) 43 © 2021 Blue Matter
Thomas Quirk Yan Xue Partner Principal tquirk@bluematterconsulting.com yxue@bluematterconsulting.com © 2021 Blue Matter
References 1. Schuster Bruce, C., Brhlikova, P., Heath, J., & McGettigan, P. (2019). The use of validated and nonvalidated surrogate endpoints in two European Medicines Agency expedited approval pathways: A cross-sectional study of products authorised 2011-2018. PLoS medicine, 16(9), e1002873. https://doi.org/10.1371/journal.pmed.1002873 2. Downing, N., Aminawung, J., Shah, N., Krumholz, H., & Ross, J. (2014). Clinical Trial Evidence Supporting FDA Approval of Novel Therapeutic Agents, 2005-2012. JAMA, 311(4), 368. https://doi.org/10.1001/jama.2013.282034 3. U.S. Food and Drug Administration. (2018). Surrogate Endpoint Resources for Drug and Biologic Development. https://www.fda.gov/drugs/development- resources/surrogate-endpoint-resources-drug-and-biologic-development 4. U.S. Food and Drug Administration. (2020). Table of Surrogate Endpoints That Were the Basis of Drug Approval or Licensure. https://www.fda.gov/drugs/development-resources/table-surrogate-endpoints-were-basis-drug-approval-or-licensure 5. Buyse, M., Molenberghs, G., Burzykowski, T., Renard, D., & Geys, H. (2000). The validation of surrogate endpoints in meta-analyses of randomized experiments. Biostatistics, 1(1), 49–67. https://doi.org/10.1093/biostatistics/1.1.49 6. Taylor, R., & Elston, J. (2009). The use of surrogate outcomes in model-based cost-effectiveness analyses: a survey of UK Health Technology Assessment reports. Health Technology Assessment, 13(8). https://doi.org/10.3310/hta13080 7. Burzykowski, T., Molenberghs, G., & Buyse, M. (2005). The Evaluation of Surrogate Endpoints. Springer. 8. European Medicines Agency. (1998). ICH: E 9: Statistical principles for clinical trials - Step 5: Note for guidance on statistical principles for clinical trials (CPMP/ICH/363/96). https://www.ema.europa.eu/en/documents/scientific-guideline/ich-e-9-statistical-principles-clinical-trials-step-5_en.pdf 9. Burzykowski, T., & Buyse, M. (2006). Surrogate threshold effect: an alternative measure for meta-analytic surrogate endpoint validation. Pharmaceutical statistics, 5(3), 173–186. https://doi.org/10.1002/pst.207 10. Institute for Quality and Efficiency in Health Care. (2011). Validity of surrogate endpoints in oncology (Executive summary of the rapid report A10-05). https://www.iqwig.de/download/a10-05_executive_summary_v1-1_surrogate_endpoints_in_oncology.pdf © 2021 Blue Matter 45
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