ReviewFundamental & clinical pharmacology2026
Redefining Regulatory Proof: The End of the Two-Trial Paradigm.
Review in Fundamental & clinical pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The recent decision to establish a single pivotal trial as the default evidentiary standard for Food and Drug Administration (FDA) approval marks a substantive shift in the architecture of regulatory proof. This marks a shift from replication-based validation to a coherence-based model of sufficiency, beyond a procedural adjustment. Because FDA standards likely influence global development strategies, this change will likely extend beyond the United States. Although accelerating access and reducing development costs are legitimate objectives, the reform raises methodological and epistemological concerns. The statistical rationale does not fully incorporate the contextual factors that influence false-positive risk, including prior plausibility and statistical power. Prior plausibility remains informal, and post-marketing evidence seldom restores the epistemic security provided by independent replication. Replication is not merely a statistical redundancy but rather a structural safeguard of robustness and external validity. Without explicit safeguards, increased regulatory flexibility may generate heterogeneity in evidentiary thresholds and progressively weaken the discriminative function of health technology assessment.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.