ArticleJournal of translational medicine2020
The endless frontier? The recent increase of R&D productivity in pharmaceuticals.
Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- How Much Does It Cost to Research and Develop a New Drug? A Systematic Review and Assessment.PharmacoEconomics · 2021Pooled it
- Discordance in orphan drug approvals between the U.S. Food and Drug Administration and the European Medicines Agency: A retrospective observational analysis.PLoS medicine · 2026Observational
- A quantitative analysis of global AI medical studies: gaps in randomized controlled trials.NPJ digital medicine · 2026Article
- AI accelerate the identification of druggable targets by 3D structures of proteins and compounds.NPJ precision oncology · 2026Review
- The changing landscape of medicinal chemistry optimization.Nature reviews. Drug discovery · 2025Review
- A Framework for Considering the Role of the Public Sector in R&D of Health Technology.Pharmaceutical medicine · 2025Review
- Metabolomics integrated genomics approach: Understanding multidrug resistance phenotype in MCF-7 breast cancer cells exposed to doxorubicin and ABCA1/EGFR/PI3k/PTEN crosstalk.Toxicology reports · 2025Article
- Mapping the Clinical Development Trajectory of Cell and Gene Therapy Products.Clinical pharmacology and therapeutics · 2025Article
- Application of Machine Learning and Mechanistic Modeling to Predict Intravenous Pharmacokinetic Profiles in Humans.Journal of medicinal chemistry · 2025Article
- Reforming the innovation system to deliver affordable medicines: a conceptual framework of pharmaceutical innovation as a complex adaptive system (forest) and theory of change.Journal of pharmaceutical policy and practice · 2025Article
- From Lab to Clinic: Effect of Academia-Industry Collaboration Characteristics on Oncology Phase 1 Trial Entry.Clinical and translational science · 2025Article
- Drug target assessments: classifying target modulation and associated health effects using multi-level BERT-based classification models.Bioinformatics advances · 2025Article
- Viruses traverse the human proteome through peptide interfaces that can be biomimetically leveraged for drug discovery.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Embedding Dynamics in Intrinsic Physicochemical Profiles of Market-Stage Antibody-Based Biotherapeutics.Molecular pharmaceutics · 2023Article
- Towards better antivenoms: navigating the road to new types of snakebite envenoming therapies.The journal of venomous animals and toxins including tropical diseases · 2023Article
- Operationalising AI governance through ethics-based auditing: an industry case study.AI and ethics · 2023Article
- Application of machine learning in combination with mechanistic modeling to predict plasma exposure of small molecules.Frontiers in systems biology · 2023Article
- How long does it take to translate research findings into routine healthcare practice?-the case of biological drugs for rheumatoid arthritis in Brazil.Annals of translational medicine · 2022Article
- To blind or not to blind first in human and exploratory clinical trials: Acceleration of development vs. risk of bias.Clinical and translational science · 2022Article
- In Vitro to In Vivo Extrapolation Linked to Physiologically Based Pharmacokinetic Models for Assessing the Brain Drug Disposition.The AAPS journal · 2022Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundStudies on the early 2000s documented increasing attrition rates and duration of clinical trials, leading to a representation of a "productivity crisis" in pharmaceutical research and development (R&D). In this paper, we produce a new set of analyses for the last decade and report a recent increase of R&D productivity within the industry.
methodsWe use an extensive data set on the development history of more than 50,000 projects between 1990 and 2017, which we integrate with data on sales, patents, and anagraphical information on each institution involved. We devise an indicator to quantify the novelty of each project, based on its set of mechanisms of action.
resultsFirst, we investigate how R&D projects are allocated across therapeutic areas and find a polarization towards high uncertainty/high potential reward indications, with a strong focus on oncology. Second, we find that attrition rates have been decreasing at all stages of clinical research in recent years. In parallel, for each phase, we observe a significant reduction of time required to identify projects to be discontinued. Moreover, our analysis shows that more recent successful R&D projects are increasingly based on novel mechanisms of action and target novel indications, which are characterized by relatively small patient populations. Third, we find that the number of R&D projects on advanced therapies is also growing. Finally, we investigate the relative contribution to productivity variations of different types of institutions along the drug development process, with a specific focus on the distinction between the roles of Originators and Developers of R&D projects. We document that in the last decade Originator-Developer collaborations in which biotech companies act as Developers have been growing in importance. Moreover, we show that biotechnology companies have reached levels of productivity in project development that are equivalent to those of large pharmaceutical companies.
conclusionsOur study reports on the state of R&D productivity in the bio-pharmaceutical industry, finding several signals of an improving performance, with R&D projects becoming more targeted and novel in terms of indications and mechanisms of action.
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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.