Evidence map›Paper›PMID 36966205›Full record

ArticleTherapeutic innovation & regulatory science2023

Exploratory Analysis of Drug Lag in New Oncology Drugs Between Japan and the US.

Akio Maki, Mamoru Narukawa

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Article in Therapeutic innovation & regulatory science, 2023. 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
2.9field-weighted citation impact, top 7% 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.

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

5 citing papers in PubMed, 5 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

2 authors at 1 institution in 1 country.

Akio MakiDepartment of Clinical Medicine (Pharmaceutical Medicine), Graduate School of Pharmaceutical Sciences, Kitasato University, 5-9-1 Shirokane, Minato-Ku, Tokyo, 108-8641, Japan. dl20405@st.kitasato-u.ac.jp.ORCID 0000-0002-0820-3895
Mamoru NarukawaDepartment of Clinical Medicine (Pharmaceutical Medicine), Graduate School of Pharmaceutical Sciences, Kitasato University, 5-9-1 Shirokane, Minato-Ku, Tokyo, 108-8641, Japan.
Kitasato University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrug lag in Japan has greatly decreased over the past decades; however, new instances of drug lag have appeared along with changes in the circumstances of oncology drug development. We aimed to investigate the factors associated with the approval lag for new oncology drugs between Japan and the United States (US) over the past decade by comparing approval dates and modalities, lead indications, approval types, and phase I strategies for earlier approval in Japan.

methodWe descriptively evaluated the characteristics of 117 new oncology drugs approved in either Japan or the US from January 1, 2011, to December 31, 2020.

resultsSeventy-one drugs were approved in Japan, 112 in the US, five only in Japan, and 46 only in the US. Interestingly, new oncology drugs were predominantly developed by the top 20 pharmaceutical companies in Japan; however, the opposite was true for drugs that were not yet approved in Japan. However, no clear trend was observed in the relationship between drug lag and the studied factors, except for the phase I strategy. There was a numerical but clear trend in which a higher percentage of phase I multiregional clinical trials (MRCTs) in the drug development strategy was observed for drugs with earlier approval in Japan.

conclusionParticipation in global drug development during the early stages, such as during phase I MRCTs, is one of the keys to successfully minimizing this new instance of drug lag in Japan.

Indexed as

Drug ApprovalDrug DevelopmentJapanPharmaceutical PreparationsTime FactorsUnited StatesPharmaceutical PreparationsClinical trialDrug development strategyDrug lagOncologyPhase I

Identifiers

PMID36966205
OpenAlexW4360944179

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.