ArticleClinical pharmacology and therapeutics2026
A Practical Guide to Implementing Real-World Evidence as Primary Basis for Approval and Label Expansion.
Article in Clinical pharmacology and therapeutics, 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In June 2026, the FDA issued a revised draft guidance describing the circumstances in which one adequate and well-controlled clinical investigation plus confirmatory evidence may satisfy the statutory substantial evidence standard for establishing efficacy and safety. Confirmatory evidence includes real-world evidence (RWE). The evolution of the regulatory use of RWE builds on more than two decades of FDA experience with real-world data (RWD), first for pharmacovigilance and later in effectiveness and risk/benefit determination. RWD/RWE guidances have been released since the 21st Century Cures Act was passed in 2016, but implementation remains operationally and methodologically challenging. This article provides practical guidance for teams considering RWE as part of a registrational program. Key topics include selection of fit-for-purpose data, study design, protocol development, study execution and governance, data transformation, analysis and assessment of residual bias, and submission. Recommendations emphasize early FDA alignment, filling gaps in procedural documentation and systems, multidisciplinary collaboration, and anticipating technological demands associated with large real-world datasets.
Identifiers
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.