Evidence map›Paper›PMID 38575785›Full record

ArticleTherapeutic innovation & regulatory science2024

Different Development Strategies Affecting Japan's Drug lag between Japan-Based and Foreign-Based Companies.

Masayasu Hidaka, Hideki Hanaoka, Yoshiaki Uyama

Abstract read
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Article in Therapeutic innovation & regulatory science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
9.0field-weighted citation impact, top 3% of its field
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.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Masayasu HidakaDepartment of Regulatory Science of Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan.
Hideki HanaokaDepartment of Regulatory Science of Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan.
Yoshiaki UyamaDepartment of Regulatory Science of Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan. uyama-yoshiaki@pmda.go.jp.ORCID 0000-0002-0430-9887
Chiba University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examined the development strategies of new molecular entities approved during a 10-year period (fiscal years of 2012-2021) in Japan to determine the differences in drug lag between Japan and foreign companies. The results demonstrated a clear difference in development strategies. For example, products were usually developed through a "only-Japan" strategy by Japan companies (51.1% of products), compared to a "MRCT (multi-regional clinical trials)" strategy by foreign companies (54.9% of products). Regarding types of licenses, for Japan companies, the percentage of original products was higher in the category of less drug lag, such as "no approval in the US and EU" (59.1%), whereas the percentage of "license-in" products was markedly higher in the "drug lag ≥ 5 years" category (52.5%). Such differences were not observed for products developed by foreign companies. Of 64 license-in products developed by Japan companies with a drug lag > 5 years, 51 (79.7%) had already been approved in the US or EU at initiation of clinical development in Japan. The origin of approximately half (34) of the products was from the emerging companies (non-member foreign companies of the Japan Pharmaceutical Manufacture Association). These results suggest that more global cooperation of Japan companies, particularly with emerging foreign companies, is necessary in terms of the earlier timing of license-in and development strategies of products to promote drug development without drug lag or drug loss in Japan.

Indexed as

Drug ApprovalDrug IndustryDrug DevelopmentHumansJapanTime FactorsUnited StatesDrug approvalDrug developmentDrug lagMultiregional clinical Trial

Identifiers

PMID38575785
OpenAlexW4393928408

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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.