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Duration of clinically meaningful improvement in pain as a patient-centered endpoint in acute pain trials.

Pain2026-06-19PubMed
Total: 81.5Rigor: 8Innovation: 9Journal: 8Clinical: 7

Summary

Using data from 34 phase 2/3 analgesic trials (N=11,028), the study proposes ROOT—the proportion of time with clinically important pain reduction without recent rescue—as a patient-centered endpoint. ROOT reached concordant conclusions with SPID in 92.2% of 204 comparisons while avoiding last-observation-carried-forward imputation after rescue, which distorted temporal treatment effects. ROOT preserves interpretability and statistical efficiency, offering a credible alternative to SPID.

Key Findings

  • ROOT is defined as the proportion of study time with ≥50% pain reduction without recent rescue or early discontinuation.
  • Across 34 trials (N=11,028), ROOT and SPID produced concordant statistical conclusions in 92.2% of 204 comparisons.
  • LOCF imputation after rescue distorted temporal treatment effects, especially during periods of high rescue use; ROOT avoided this bias.

Clinical Implications

Sponsors and investigators can adopt ROOT to reduce reliance on imputation after rescue analgesia and to better reflect clinically meaningful benefit, potentially improving decision-making in analgesic development.

Why It Matters

This methodological advance could shift primary endpoints in acute pain trials toward more patient-centered, bias-resistant measures, influencing regulatory and trial design standards.

Limitations

  • ROOT thresholds (eg, 50% reduction) may require disease- or context-specific validation.
  • Heterogeneity across included trials could influence generalizability despite high concordance.

Future Directions

Prospective validation of ROOT as a primary endpoint in diverse acute pain indications; exploration of alternative responder thresholds and integration into adaptive and Bayesian trial designs.

Study Information

Study Type
Meta-analysis
Research Domain
Treatment
Evidence Level
II - Secondary analysis/meta-analysis across multiple randomized trials providing moderate-to-high quality evidence.
Study Design
OTHER