Evidence map›Paper›PMID 37347735›Full record

ReviewPloS one2023

Investigation of oral macrolide prescriptions in Japan using a retrospective claims database, 2013-2018.

Satoshi Ide, Masahiro Ishikane, Kensuke Aoyagi, Akane Ono, Yusuke Asai, Shinya Tsuzuki, Yoshiki Kusama, Yoshiaki Gu, Eiichi Kodama, Norio Ohmagari

Open access · goldAbstract readReview
In one paragraph

Review in PloS one, 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
1.0field-weighted citation impact, top 21% 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, 4 citations in OpenAlex.

  1. Article
  2. Reporting macrolide-resistantJournal of clinical microbiology · 2026
    Review
  3. Ten-Year Trends in First- and Second-LineJuntendo medical journal · 2026
    Article
  4. Review
  5. 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

10 authors at 4 institutions in 1 country.

Satoshi IdeDepartment of Emerging and Reemerging Infectious Diseases, Graduate School of Medicine, Tohoku University, Sendai, Japan.ORCID 0000-0001-8254-3700
Masahiro IshikaneDisease Control and Prevention Center, National Center for Global Health and Medicine, Shinjuku City, Tokyo, Japan.
Kensuke AoyagiAMR Clinical Reference Center, Disease Control and Prevention Center, National Center for Global Health and Medicine, Shinjuku City, Tokyo, Japan.
Akane OnoAMR Clinical Reference Center, Disease Control and Prevention Center, National Center for Global Health and Medicine, Shinjuku City, Tokyo, Japan.
Yusuke AsaiAMR Clinical Reference Center, Disease Control and Prevention Center, National Center for Global Health and Medicine, Shinjuku City, Tokyo, Japan.
Shinya TsuzukiAMR Clinical Reference Center, Disease Control and Prevention Center, National Center for Global Health and Medicine, Shinjuku City, Tokyo, Japan.
Yoshiki KusamaDepartment of Pediatric General Medicine, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Hyogo, Japan.ORCID 0000-0002-7072-2338
Yoshiaki GuDepartment of Infectious Diseases, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Bunkyo City, Tokyo, Japan.
Eiichi KodamaDepartment of Infectious Diseases, International Research Institute of Disaster Science, Graduate School of Medicine, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Norio OhmagariDepartment of Emerging and Reemerging Infectious Diseases, Graduate School of Medicine, Tohoku University, Sendai, Japan.
National Center for Global Health and Medicine · JPTohoku University · JPHyogo Prefectural Amagasaki General Medical Center · JPTokyo Medical and Dental University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macrolide usage in Japan exceeds that in Europe and the United States. Investigating the actual conditions in which macrolides are used is important for identifying further interventions for appropriate antimicrobial use; however, this situation has not been evaluated in Japan. Therefore, we aimed to clarify the number of macrolide prescriptions and their changes before and after implementation of the Antimicrobial Resistance (AMR) Action Plan. In addition, we also investigated the names of diseases for which macrolides have been prescribed and the number of days of prescription. A retrospective observational study was conducted using JMDC claims data from January 2013 to December 2018. The proportion of all oral antimicrobials and macrolides used during this period and the diseases for which macrolides were used in the 3 years before and after the AMR Action Plan were determined separately for acute (< 14 prescription days) and chronic (> 14 prescription days) diseases. The number of prescriptions for macrolides constituted approximately 30% of those for all oral antimicrobials; of these, clarithromycin accounted for approximately 60%. Most prescriptions for acute diseases were for common cold, whereas allergic and dermatological diseases were included among chronic diseases. The names of these illnesses did not change before and after the AMR Action Plan. Overall, these results indicate that appropriate macrolide use involves a review of their use for common cold along with appropriate evaluation of their long-term use for skin and allergic diseases. They also indicate the need for further fact-finding studies and ongoing AMR measures.

Indexed as

Anti-Infective AgentsCommon ColdHypersensitivityAnti-Bacterial AgentsHumansJapanMacrolidesObservational Studies as TopicPrescriptionsRetrospective StudiesAnti-Bacterial AgentsAnti-Infective AgentsMacrolides

Identifiers

PMID37347735
PMCPMC10286965
OpenAlexW4381715443

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.