Evidence map›Paper›PMID 39762622›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2025

Application of model-informed drug development (MIDD) for dose selection in regulatory submissions for drug approval in Japan.

JPMA MIDD Task force, Tomohiro Sasaki, Takayuki Katsube, Seiichi Hayato, Shingo Yamaguchi, Jun Tanaka, Hiroki Yoshimatsu, Yushi Nakanishi, Atsushi Kitamura, Hirotaka Watase and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of pharmacokinetics and pharmacodynamics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. SCOUT: An Exploratory Approach to Scouting Dose-Relevant Covariates.CPT: pharmacometrics & systems pharmacology · 2026
    Article
  2. AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 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

13 authors.

JPMA MIDD Task force
Tomohiro Sasaki *Clinical Pharmacology, Otsuka Pharmaceutical Co., Ltd., Osaka, Japan. Sasaki.Tomohiro@otsuka.jp.
Takayuki Katsube *Clinical Pharmacology and Pharmacokinetics, Shionogi & Co., Ltd., Osaka, Japan.
Seiichi HayatoClinical Pharmacology Science, Eisai Co., Ltd., Tokyo, Japan.
Shingo YamaguchiClinical Development, GlaxoSmithKline K.K., Tokyo, Japan.
Jun TanakaClinical Pharmacology and Pharmacometrics, Bristol-Myers Squibb K.K., Tokyo, Japan.
Hiroki YoshimatsuBiometrics & Data Management, Pfizer R&D Japan G.K., Tokyo, Japan.
Yushi NakanishiClinical Data Science Department, Kowa Company, Ltd., Tokyo, Japan.
Atsushi KitamuraClinical Pharmacology, Sumitomo Pharma Co., Ltd., Osaka, Japan.
Hirotaka WatasePharmacokinetics, Dynamics and Metabolism, Translational Medicine and Early Development, R&D, Sanofi K.K., Tokyo, Japan.
Hideki SuganamiClinical Data Science Department, Kowa Company, Ltd., Tokyo, Japan.
Nobushige MatsuokaBiometrics & Data Management, Pfizer R&D Japan G.K., Tokyo, Japan.
Chihiro HasegawaClinical Pharmacology Development Area, MSD K.K., Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Model-informed drug development (MIDD) is an approach to improve the efficiency of drug development. To promote awareness and application of MIDD in Japan, the Data Science Expert Committee of the Drug Evaluation Committee in the Japan Pharmaceutical Manufacturers Association established a task force, which surveyed MIDD applications for approved products in Japan. This study aimed to reveal the trends and challenges in the use of MIDD by analyzing the survey results. A total of 322 cases approved in Japan between January 2020 and March 2022 as medical products were included in the survey. Modeling analysis was performed in approximately half of the cases (47.8% [154/322]) and formed a major basis for the selection or justification of dosage and administration in approximately one-fourth of the cases [24.2% (78/322)]. Modeling analysis/model-based dose selection was frequently conducted in cases involving monoclonal antibodies, first indication, orphan drugs, and multi-regional trials. Moreover, the survey results indicated that modeling analyses contributed to dose optimization throughout the developmental phases, including changing dose levels from phase II to phase III and dose adjustment in special populations. Japanese data were included in most cases in which modeling analysis was used for dosage selection. Thus, modelling analysis may also address ethnic factors introduced in the ICH E5 and/or E17 guidelines. In summary, this survey is useful for understanding the current status of MIDD use in Japan and for future drug development.

Indexed as

Drug ApprovalDrug DevelopmentDose-Response Relationship, DrugHumansJapanModels, BiologicalSurveys and QuestionnairesDose selectionJapanJPMAMIDDPharmacometrics

Identifiers

PMID39762622

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.