Evidence map›Paper›PMID 42591427›Full record

ArticleFrontiers in medicine2026

Important missing information in Japan's risk management plans: a cross-sectional analysis after a decade of implementation.

Natsuko Kameyama, Ayana Ide, Hideki Maeda

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Natsuko KameyamaRegulatory Science, Graduate School of Pharmaceutical Science, Meiji Pharmaceutical University, Tokyo, Japan.
Ayana IdeRegulatory Science, Faculty of Pharmacy, Meiji Pharmaceutical University, Tokyo, Japan.
Hideki MaedaRegulatory Science, Graduate School of Pharmaceutical Science, Meiji Pharmaceutical University, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: More than 10 years have passed since Japan introduced risk management plans (RMPs), yet research focusing on important missing information (IMI) remains limited. This study aimed to characterize IMI, particularly in special populations. Methods: Based on publicly available information from the Pharmaceuticals and Medical Devices Agency, we analyzed 330 eligible RMPs as of May 2023 and summarized the number and classification of IMI items and associated activities. Results: Among 330 RMPs, 101 (30.6%) included 199 IMI items. Additional pharmacovigilance activities, additional risk minimization activities, and documentation in the package insert were identified for 69.3%, 25.1%, and 56.3% of the items, respectively. Special populations accounted for 62.8% of all IMI items, and their categorization aligned with International Council for Harmonisation guideline E2E. Additional pharmacovigilance activities were specified in the RMP for 64.0% of special population-related items, whereas the rate was significantly lower for older patients than for other special population categories (33.3%, Conclusion: Japan's approach to IMI has broadly aligned with international standards, particularly regarding special population-related IMI, while several operational issues remain. Strengthening additional pharmacovigilance activities for selected older patients, explicitly including long-term use as an example of IMI in Japanese RMP guidance, and defining IMI based on the need for additional activities might help enhance RMP management and support future regulatory refinement.

Indexed as

drug labelingJapanese pharmaceutical regulationsmissing informationpharmacovigilancerisk management plansafety concerns

Identifiers

PMID42591427
PMCPMC13461612

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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.