Evidence map›Paper›PMID 32272953›Full record

ArticleJournal of translational medicine2020

The endless frontier? The recent increase of R&D productivity in pharmaceuticals.

Fabio Pammolli, Lorenzo Righetto, Sergio Abrignani, Luca Pani, Pier Giuseppe Pelicci, Emanuele Rabosio

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. 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 · 2024
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  15. Towards better antivenoms: navigating the road to new types of snakebite envenoming therapies.The journal of venomous animals and toxins including tropical diseases · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Fabio PammolliDipartimento di Ingegneria Gestionale, Politecnico di Milano, Via R. Lambruschini, 20156, Milano, Italy. fabio.pammolli@polimi.it.
Lorenzo RighettoCenter for Analysis, Decisions and Society, Human Technopole, Via C. Belgioioso, 20157, Milano, Italy.
Sergio AbrignaniINGM, Istituto Nazionale di Genetica Molecolare "Romeo ed Enrica Invernizzi", Via F. Sforza, 20122, Milano, Italy.
Luca PaniDepartment of Psychiatry and Behavioral Sciences, University of Miami, 1120 NW 14th St, 33136, Miami, USA.
Pier Giuseppe PelicciIEO, European Institute of Oncology IRCCS, Via G. Ripamonti, 20141, Milano, Italy.
Emanuele RabosioCenter for Analysis, Decisions and Society, Human Technopole, Via C. Belgioioso, 20157, Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Drug IndustryPharmaceutical PreparationsHumansResearchPharmaceutical PreparationsAttrition ratesPharmaceutical innovationR&D productivity

Identifiers

PMID32272953
PMCPMC7147016

What OpenQuestion holds

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Registered trials

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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.