Ƶ

[Skip to Navigation]
Sign In
Original Investigation
22, 2024

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

Author Affiliations
  • 1Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
  • 2Collaboration for Regulatory Rigor, Integrity, and Transparency, Yale School of Medicine, New Haven, Connecticut
  • 3Department of Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
  • 4Center for Research on Health and Social Care Management, SDA Bocconi School of Management, Milan, Italy
  • 5MRC/CSO Social and Public Health Sciences Unit, School of Health & Wellbeing, University of Glasgow, Glasgow, Scotland, United Kingdom
  • 6Robertson Centre for Biostatistics, School of Health & Wellbeing, University of Glasgow, Glasgow, Scotland, United Kingdom
  • 7Section of General Internal Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
  • 8Yale National Clinicians Scholars Program, Yale School of Medicine, New Haven, Connecticut
  • 9Department of Health Policy and Management, Yale School of Public Health, Yale–New Haven Health System, New Haven, Connecticut
  • 10Center for Outcomes Research and Evaluation, Yale–New Haven Health System, New Haven, Connecticut
JAMA. Published online April 22, 2024. doi:10.1001/jama.2024.4175
Key Points

Question What is the strength of association between surrogate markers used as primary end points in clinical trials to support Food and Drug Administration (FDA) approval of drugs treating nononcologic chronic diseases and clinical outcomes?

Findings No meta-analyses of clinical trials examining the strength of association between treatment effects measured using surrogate markers and clinical outcomes were identified for 22 (59%) of 37 surrogate markers for 32 chronic diseases, whereas at least 1 was identified for 15 (41%), although few reported high-strength evidence of treatment effect associations.

Meaning Most surrogate markers used as primary end points in clinical trials to support FDA approval of drugs treating nononcologic chronic diseases lack high-strength evidence of associations with clinical outcomes from published meta-analyses.

Abstract

Importance Surrogate markers are increasingly used as primary end points in clinical trials supporting drug approvals.

Objective To 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 sources The Food and Drug Administration (FDA) Adult Surrogate Endpoint Table and MEDLINE from inception to March 19, 2023.

Study Selection Three reviewers selected meta-analyses of clinical trials; meta-analyses of observational studies were excluded.

Data Extraction and Synthesis Two 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 Measures Correlation coefficient or coefficient of determination, when reported, was classified as high strength (r ≥ 0.85 or R2 ≥ 0.72); primary findings were otherwise summarized.

Results Thirty-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 Relevance Most 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.

Add or change institution
×