Accelerating clinical development outside the usual regions for future pandemics: a comparative analysis of COVID-19 therapeutic development between the USA and Japan

Compared with the USA, fewer therapeutics were approved in Japan, and the approvals occurred later. Most therapeutics approved in Japan had previously received EUA in the USA, with Japanese approvals largely dependent on participation in large-scale global studies and the US review schedule. Application data in Japan were primarily based on data from large-scale global studies that had been submitted for the US application; the observed delay in approval was considered attributable to the time required for application preparation. In preparation for future pandemics, it will be necessary to establish systems that take these characteristics into account.

Authors

Institutions

Publication Details

Journal
BMJ Open
Published
2025-09-01
DOI
https://doi.org/10.1136/bmjopen-2024-096074
Primary Topic
Long-Term Effects of COVID-19
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accelerating clinical development outside the usual regions for future pandemics: a comparative analysis of COVID-19 therapeutic development between the USA and Japan

Mayumi Shikano, Miyuki Katayama
BMJ Open
Long-Term Effects of COVID-19
article

Accelerating clinical development outside the usual regions for future pandemics: a comparative analysis of COVID-19 therapeutic development between the USA and Japan

Mayumi Shikano, Miyuki Katayama
article en

Abstract

Compared with the USA, fewer therapeutics were approved in Japan, and the approvals occurred later. Most therapeutics approved in Japan had previously received EUA in the USA, with Japanese approvals largely dependent on participation in large-scale global studies and the US review schedule. Application data in Japan were primarily based on data from large-scale global studies that had been submitted for the US application; the observed delay in approval was considered attributable to the time required for application preparation. In preparation for future pandemics, it will be necessary to establish systems that take these characteristics into account.

BMJ OpenVol. 15(9)
Tokyo University of Science (JP), The University of Tokyo (JP)
Openalex Percentile: Top 65%
Long-Term Effects of COVID-19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.