Evidence map›Paper›PMID 37862317›Full record

ArticlePloS one2023

Shortage and unequal distribution of infectious disease specialists in Japan: How can we refine the current situation?

Hideharu Hagiya

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Impact of a pharmacist-led infectious disease support team on candidemia bundle adherence and 28-day mortality: a single-center retrospective cohort study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
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  7. Analysis of Drug-Resistant Bacteria Seasonality in Japan Using Financial Time Series Analysis Method: A Nationwide Longitudinal Study.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    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

1 author.

Hideharu HagiyaDepartment of Infectious Diseases, Okayama University Hospital, Okayama, Japan.ORCID 0000-0002-5086-1891

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to assess the distribution of board-certified infectious disease (ID) specialists at medical schools and Designated Medical Institutions (DMIs) in Japan.

methodsData on the number of board-certified ID specialists was extracted by gender, prefecture, and hospital from the Japanese Association for Infectious Diseases database. The numbers and types of Japanese university hospitals that have a Faculty of Medicine, as well as the DMIs legally determined by the Infectious Diseases Control Law, were collected from the database of the Ministry of Health, Labour, and Welfare of Japan.

resultsAs of November 2022, there were 1,688 board-certified ID specialists in Japan, with 510 employed at 82 university hospitals. Two medical schools had no ID specialists, and six had only one ID specialist. There was no ID specialists in 14.3% of Class I DMIs and 66.7% of Class II DMIs. Additionally, 14.9% of prefectures had no ID specialists at all in their Class II DMIs. The percentage of female doctors among ID specialists was 12.7%, approximately half of the overall male-to-female ratio of medical doctors in Japan.

conclusionThe allocation of Japanese ID specialists to medical schools and legally designated healthcare institutes is inadequate and skewed. Female physicians are expected to play a more active role in this increasing demand.

Indexed as

Communicable DiseasesPhysiciansDelivery of Health CareFemaleHospitals, UniversityHumansJapanMale

Identifiers

PMID37862317
PMCPMC10588892

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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.