Evidence map›Paper›PMID 40135941›Full record

ArticleClinical pharmacology and therapeutics2025

Impact of Model-Informed Drug Development on Drug Development Cycle Times and Clinical Trial Cost.

Vaishali Sahasrabudhe, Timothy Nicholas, Gianluca Nucci, Cynthia J Musante, Brian Corrigan

Abstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Sex-Related Differences in Physiologically-Based Biopharmaceutics Modeling.CPT: pharmacometrics & systems pharmacology · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Scoping review of the role of pharmacometrics in model-informed drug development.Journal of pharmacokinetics and pharmacodynamics · 2025
    Article
  19. Advancing drug development with "Fit-for-Purpose" modeling informed approaches.Journal of pharmacokinetics and pharmacodynamics · 2025
    Review
  20. Advances in Drug Discovery for Cardiomyocyte Proliferation.Current treatment options in cardiovascular medicine · 2025
    Review
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

5 authors.

Vaishali SahasrabudhePfizer, Inc., Groton, Connecticut, USA.ORCID 0009-0007-2592-6490
Timothy NicholasPfizer, Inc., Groton, Connecticut, USA.
Gianluca NucciPfizer, Inc., Cambridge, Massachusetts, USA.
Cynthia J MusantePfizer, Inc., Cambridge, Massachusetts, USA.ORCID 0000-0002-3003-0169
Brian CorriganMetrum Research Group, Boston, Massachusetts, USA.ORCID 0009-0007-0166-7076

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Model-informed drug development (MIDD) integrates data to quantify benefit/risk informing objective drug discovery and development decisions. An additional critical benefit of MIDD is postulated to be improvement in trial and program efficiencies. While the application of MIDD has grown, there have been no clear examples across programs to demonstrate its value at the portfolio level. This manuscript offers a methodology and examples to demonstrate MIDD value in terms of time and cost savings. We utilized an algorithm to estimate savings based on MIDD-related activities at each stage of development across the entire drug development portfolio during a typical year between 2021 and 2023. This algorithm, although company-specific, demonstrated general applicability across several programs of the portfolio. Overall, the use of MIDD yielded annualized average savings of approximately 10 months of cycle time and $5 million per program. Systematic application of MIDD approaches yielded significant time and cost savings across the drug development portfolio in addition to informing data-driven decisions. Increased utilization of MIDD approaches is a driver for improving drug development efficiency.

Indexed as

Clinical Trials as TopicDrug DevelopmentAlgorithmsCost-Benefit AnalysisCost SavingsDrug DiscoveryDrug IndustryHumansTime Factors

Identifiers

PMID40135941
PMCPMC12272314

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.