Evidence map›Paper›PMID 39363986›Full record

ArticleFrontiers in public health2024

Collaboration for new therapies: maximizing health and innovation.

Jorge Mestre-Ferrandiz, Pierre Meulien, Dennis A Ostwald, Virginia Acha

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Jorge Mestre-FerrandizDepartment of Economics, Universidad Carlos III, Madrid, Spain.
Pierre MeulienLife Science Consultant, Faro, Portugal.
Dennis A OstwaldFounder and CEO of WifOR Institute, Darmstadt, Germany.
Virginia AchaGlobal Regulatory Policy & Intelligence, MSD, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Innovative medicines and vaccines can provide direct health benefits to patients and populations by preventing, treating and curing diseases, and also drive wider socioeconomic and productivity gains. However, researching and developing them is complex and risky. Funding for life sciences R&D has different sources: public, charitable/NGO, and private sector. We believe there is consensus that all are required, although there is less understanding about their respective roles, synergies, and funding priorities. The purpose of this paper is to provide an overview of the current life sciences innovation ecosystem in Europe, highlighting challenges for funding and innovation of new therapies and our proposed options to address these. Methods: The basis of this paper stems from the reflections made by the co-authors during a webinar with title "Collaboration for new therapies: maximising funding and innovation," in March 2023, with further targeted literature reviews. Results: We identify eight challenges in the European life sciences ecosystem, some closely related, and nine options that we think might be helpful to address them. Each option on its own can have different levels of 'impact', but collectively will provide synergies among them, and thus maximize their impact. Discussion: It is critical to ascertain how the strengths of each actor can be leveraged to bring new medicines/treatments to market, quicker and more efficiently. We need a trusted environment, with strategic collaborations between the public and private sectors, and policy initiatives and incentives should be targeted to strengthen the infrastructure with the aim of fostering such optimal alliances.

Indexed as

Cooperative BehaviorDelivery of Health CareEuropeHumansfundingincentivesinnovation ecosystemlife sciences sectorresearch and development

Identifiers

PMID39363986
PMCPMC11446746

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.