Associations Between Surrogate Markers and Clinical Outcomes for Nononcologic Chronic Disease Treatments

Author:

Wallach Joshua D.12,Yoon Samuel23,Doernberg Harry23,Glick Laura R.3,Ciani Oriana4,Taylor Rod S.56,Mooghali Maryam27,Ramachandran Reshma278,Ross Joseph S.278910

Affiliation:

1. Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia

2. Collaboration for Regulatory Rigor, Integrity, and Transparency, Yale School of Medicine, New Haven, Connecticut

3. Department of Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston

4. Center for Research on Health and Social Care Management, SDA Bocconi School of Management, Milan, Italy

5. MRC/CSO Social and Public Health Sciences Unit, School of Health & Wellbeing, University of Glasgow, Glasgow, Scotland, United Kingdom

6. Robertson Centre for Biostatistics, School of Health & Wellbeing, University of Glasgow, Glasgow, Scotland, United Kingdom

7. Section of General Internal Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut

8. Yale National Clinicians Scholars Program, Yale School of Medicine, New Haven, Connecticut

9. Department of Health Policy and Management, Yale School of Public Health, Yale–New Haven Health System, New Haven, Connecticut

10. Center for Outcomes Research and Evaluation, Yale–New Haven Health System, New Haven, Connecticut

Abstract

ImportanceSurrogate markers are increasingly used as primary end points in clinical trials supporting drug approvals.ObjectiveTo systematically summarize the evidence from meta-analyses, systematic reviews and meta-analyses, and pooled analyses (hereafter, meta-analyses) of clinical trials examining the strength of association between treatment effects measured using surrogate markers and clinical outcomes in nononcologic chronic diseases.Data sourcesThe Food and Drug Administration (FDA) Adult Surrogate Endpoint Table and MEDLINE from inception to March 19, 2023.Study SelectionThree reviewers selected meta-analyses of clinical trials; meta-analyses of observational studies were excluded.Data Extraction and SynthesisTwo reviewers extracted correlation coefficients, coefficients of determination, slopes, effect estimates, or results from meta-regression analyses between surrogate markers and clinical outcomes.Main Outcomes and MeasuresCorrelation coefficient or coefficient of determination, when reported, was classified as high strength (r ≥ 0.85 or R2 ≥ 0.72); primary findings were otherwise summarized.ResultsThirty-seven surrogate markers listed in FDA’s table and used as primary end points in clinical trials across 32 unique nononcologic chronic diseases were included. For 22 (59%) surrogate markers (21 chronic diseases), no eligible meta-analysis was identified. For 15 (41%) surrogate markers (14 chronic diseases), at least 1 meta-analysis was identified, 54 in total (median per surrogate marker, 2.5; IQR, 1.3-6.0); among these, median number of trials and patients meta-analyzed was 18.5 (IQR, 12.0-43.0) and 90 056 (IQR, 20 109-170 014), respectively. The 54 meta-analyses reported 109 unique surrogate marker–clinical outcome pairs: 59 (54%) reported at least 1 r or R2, 10 (17%) of which reported at least 1 classified as high strength, whereas 50 (46%) reported slopes, effect estimates, or results of meta-regression analyses only, 26 (52%) of which reported at least 1 statistically significant result.Conclusions and RelevanceMost surrogate markers used as primary end points in clinical trials to support FDA approval of drugs treating nononcologic chronic diseases lacked high-strength evidence of associations with clinical outcomes from published meta-analyses.

Publisher

American Medical Association (AMA)

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