A novel approach for quantification of the future unmet medical need in right ventricular dysfunction.

Epidemiology Portfolio management Right ventricular dysfunction Unmet medical need

Journal

Drug discovery today
ISSN: 1878-5832
Titre abrégé: Drug Discov Today
Pays: England
ID NLM: 9604391

Informations de publication

Date de publication:
05 2022
Historique:
received: 21 06 2021
revised: 04 12 2021
accepted: 22 12 2021
pubmed: 28 12 2021
medline: 27 4 2022
entrez: 27 12 2021
Statut: ppublish

Résumé

Although 'unmet medical need' (UMN) is an increasingly used term in the healthcare sector instrumental to the approximate value of drug discovery projects relevant to portfolio management, no standardized approach exists for its quantification. Especially in diseases with different comorbidities, high patient heterogeneity, and incomplete epidemiological data, it is difficult to judge the need for new therapies. The approach presented here combines an expert assessment of key UMN indicators related to the individual patient with a literature search to collect epidemiological data describing the corresponding patient population with its underlying heterogeneity. This assessment supports decision-making within the portfolio management process in larger research and development organizations.

Identifiants

pubmed: 34958958
pii: S1359-6446(21)00571-7
doi: 10.1016/j.drudis.2021.12.019
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1326-1331

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest At the time of the investigation, the following authors were employees of Bayer AG: L.K.S., J.H., H.T., and T.M.

Auteurs

Lena K Schramm (LK)

Bayer AG, Wuppertal, Germany.

Nadejda Monsefi (N)

University Hospital Bonn, Department of Cardiac Surgery, Bonn, Germany.

Jörg Hüser (J)

Bayer AG, Wuppertal, Germany.

Hubert Truebel (H)

University of Witten/Herdecke, Witten, Germany.

Thomas Mondritzki (T)

Bayer AG, Wuppertal, Germany; University of Witten/Herdecke, Witten, Germany. Electronic address: thomas.mondritzki@bayer.com.

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Classifications MeSH