Evidence map›Paper›PMID 35266252›Full record

ArticleCancer science2022

How are new drugs disseminated in Japan? Analysis using the National Database of Health Insurance Claims of Japan.

Tomone Watanabe, Takehiro Sugiyama, Kenjiro Imai, Takahiro Higashi

Abstract read
In one paragraph

Article in Cancer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Tomone WatanabeDivision of Health Services Research, National Cancer Center Japan, Tokyo, Japan.ORCID https://orcid.org/0000-0002-8337-5005
Takehiro SugiyamaDiabetes and Metabolism Information Center, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan.
Kenjiro ImaiDiabetes and Metabolism Information Center, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan.
Takahiro HigashiDivision of Health Services Research, National Cancer Center Japan, Tokyo, Japan.ORCID https://orcid.org/0000-0002-9933-2106

Funding

National Cancer Center Japan 31-A-21
6 · The paper itself

Abstract

Drug lag refers to the difference in the time of a new drug's approval in different countries; the dissemination of the new drug after approval within the countries is another problem. We examined the nationwide dissemination of 11 cancer drugs approved in Japan between 2011 and 2015 using the National Database of Health Insurance Claims data. We extracted data on the number of cancer drug prescriptions from 47 prefectures and associated demographic information, such as age and sex. Eight diabetes drugs were also examined for comparison. We observed a lag between the marketing approval date of the drugs and their first use. To further explore the rise and pattern of each drug's dissemination, we analyzed the trend of the cumulative number and total of new prescriptions for each prefecture. The results showed that the first month of new cancer drug prescriptions varied across prefectures. On average, they lagged by up to 2 months in the slowest prefectures, whereas the variation was almost nonexistent for diabetes drugs. The patterns of dissemination varied more among cancer drugs across the seven Japanese geographical regions. After the initial prescription, the number of prescriptions showed a steep rise for most cancer drugs, whereas the increase was gradual for diabetes drugs. In conclusion, the dissemination of cancer drugs had a greater lag time than that of diabetes drugs. Further research is needed to explore the causative factors to ensure that all effective drugs are equally accessible for those who need them.

Indexed as

Antineoplastic AgentsDiabetes MellitusNeoplasmsDatabases, FactualHumansInsurance, HealthJapanAntineoplastic Agentscancer drugdiabetes drugdrug disseminationdrug lagnational database

Identifiers

PMID35266252
PMCPMC9128186

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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.