Evidence map›Paper›PMID 36910503›Full record

ArticleFrontiers in medicine2023

Use of National Database of Health Insurance Claims and Specific Health Checkups for examining practical utilization and safety signal of a drug to support regulatory assessment on postmarketing drug safety in Japan.

Haruka Shida, Kazuhiro Kajiyama, Sono Sawada, Chieko Ishiguro, Mikiko Kubo, Ryota Kimura, Mai Hirano, Noriyuki Komiyama, Toyotaka Iguchi, Yukio Oniyama and 1 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

11 authors.

Haruka ShidaOffice of Medical Informatics and Epidemiology, Pharmaceuticals and Medical Devices Agency, Tokyo, Japan.
Kazuhiro KajiyamaOffice of Medical Informatics and Epidemiology, Pharmaceuticals and Medical Devices Agency, Tokyo, Japan.
Sono SawadaOffice of Medical Informatics and Epidemiology, Pharmaceuticals and Medical Devices Agency, Tokyo, Japan.
Chieko IshiguroOffice of Medical Informatics and Epidemiology, Pharmaceuticals and Medical Devices Agency, Tokyo, Japan.
Mikiko KuboOffice of Pharmacovigilance I, Pharmaceuticals and Medical Devices Agency, Tokyo, Japan.
Ryota KimuraOffice of Pharmacovigilance I, Pharmaceuticals and Medical Devices Agency, Tokyo, Japan.
Mai HiranoOffice of Pharmacovigilance II, Pharmaceuticals and Medical Devices Agency, Tokyo, Japan.
Noriyuki KomiyamaOffice of Pharmacovigilance II, Pharmaceuticals and Medical Devices Agency, Tokyo, Japan.
Toyotaka IguchiOffice of Pharmacovigilance II, Pharmaceuticals and Medical Devices Agency, Tokyo, Japan.
Yukio OniyamaOffice of Pharmacovigilance I, Pharmaceuticals and Medical Devices Agency, Tokyo, Japan.
Yoshiaki UyamaOffice of Medical Informatics and Epidemiology, Pharmaceuticals and Medical Devices Agency, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Pharmaceuticals and Medical Devices Agency (PMDA) has conducted many pharmacoepidemiological studies for postmarketing drug safety assessments based on real-world data from medical information databases. One of these databases is the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB), containing health insurance claims of almost all Japanese individuals (over 100 million) since April 2009. This article describes the PMDA's regulatory experiences in utilizing the NDB for postmarketing drug safety assessment, especially focusing on the recent cases of use of the NDB to examine the practical utilization and safety signal of a drug. The studies helped support regulatory decision-making for postmarketing drug safety, such as considering a revision of prescribing information of a drug, confirming the appropriateness of safety measures, and checking safety signals in real-world situations. Different characteristics between the NDB and the MID-NET

Indexed as

drug safetynational claims databasepharmacoepidemiologyreal-world dataregulatory decision-making

Identifiers

PMID36910503
PMCPMC9995365

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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.