Trial reportClinical and translational science2023
A decade comparison of regulatory decision patterns for oncology products to all other non-oncology products among Swissmedic, European Medicines Agency, and US Food and Drug Administration.
Trial report in Clinical and translational science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed.
- A decade comparison of regulatory decision patterns for oncology products to all other non-oncology products among Swissmedic, European Medicines Agency, and US Food and Drug Administration.Clinical and translational science · 2023Trial
- Advanced therapy medicinal products (ATMPs) - An analysis of the global regulatory status.British journal of clinical pharmacology · 2026Article
- Efficacy and Safety Evidence Supporting Cancer Drug Approvals in Switzerland (2001-2020): A Meta-Analysis of Pivotal Randomised Controlled Trials.The Lancet regional health. Europe · 2026Article
- A Comparison of Regional Decisions for Doses and Administrations of New Drugs: Concordance, Discordance, and Dependencies.Clinical pharmacology and therapeutics · 2026Article
- FDA first to global follow-on: alignment in expedited oncology approvals across EMA, TGA, and PMDA.Frontiers in pharmacology · 2026Article
- Purity determination of digitoxin by two-signal suppression-internal standard correction-high-performance liquid chromatography-quantitative nuclear magnetic resonance.Analytical and bioanalytical chemistry · 2025Article
- Cancer drug applications to the EMA and the FDA: A comparison of new drugs and extension of indication in terms of approval decisions and time in review.British journal of clinical pharmacology · 2025Article
- The Effect of Staging Intervals on Progression-Free Survival in Registration Studies of Oncologic Drugs: A Meta-Analysis.Cancers · 2025Article
- Article
- Impact of indication changes on scoping for European Union Joint Clinical Assessment: scale of the problem and how to address it.International journal of technology assessment in health care · 2024Article
- Personalized medicine: when the common becomes the rare.Frontiers in medicine · 2024Article
- Decision-Making at Swissmedic, the Swiss Regulatory Agency, with a Focus on (Neo)adjuvant Cancer Treatments.Oncology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Consensus of regulatory decisions on the same Marketing Authorization Application (MAA) are critical for stakeholders. In this context, regulatory decision patterns from the Swissmedic (SMC), the US Food and Drug Administration (FDA), and the European Medicines Agency (EMA) were analyzed for hemato-oncology products (OP) and non-oncology products (NOP). We compared 336 SMC regulatory decisions between 2009 and 2018 on new active substances with the EMA and the FDA for OP (n = 77) and NOP (n = 259) regarding approval rates, consensus, and divergent decisions. For OP MAA, we analyzed the underlying reasons for divergent decisions; for consensus decisions, the similarity and strictness of labeling. For OP, the approval rate for the SMC was 88.4%, the EMA 91.3%, and the FDA 95.7%. For NOP, the SMC had an approval rate of 86.2%, the EMA of 93.8%, and the FDA of 88.8%. The consensus decision rate among agencies was 88.4% for OP and 84.4% for NOP. The main clinical driver for divergent decisions for OP was nonrandomized trial design and low patient numbers. Comparing the approved indication wordings, the highest similarity was between the SMC and the EMA, and lowest for the FDA and the EMA. Investigating label strictness, the FDA numerically had the highest but not-statistically significant number of strict labels. The approval rate stratified by disease area (OP and NOP) differed among the SMC, the EMA, and the FDA. High concordance in regulatory decisions was observed between agencies for OP as well as NOP. Reasons for divergent decisions regarding OP were mainly due to scientific uncertainties. Comparing strictness of indications, numerical but no statistically significant differences were observed between agencies.
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