Evidence map›Paper›PMID 40399080›Full record

ArticleInternal medicine (Tokyo, Japan)2025

Current Trends in Computed Tomography Practices in Japan and the Role of Referring Physicians in Radiation Exposure Management.

Takahiro Uruma

Abstract read
In one paragraph

Article in Internal medicine (Tokyo, Japan), 2025. 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. Review
  2. Article
  3. Review
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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.

Takahiro UrumaDepartment of Respiratory Medicine, Chiba Central Medical Center, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective In 2020, Japan recorded the highest number of computed tomography (CT) units per million population among Organization for Economic Co-operation and Development (OECD) countries. This surplus may lead to unnecessary procedures, increased costs, and increased radiation exposure. This study estimated CT procedures per 1,000 population and analyzed their usage by sex and age using governmental surveys and health insurance claim data. Methods Data from 2008 to 2020 were obtained from the Ministry of Health, Labour and Welfare medical institution surveys. Age- and sex-specific data (2014-2022) were extracted from the Japanese National Database of Health Insurance Claims and Specific Health Checkups (NDB Open Data, Japan). The population data were sourced from the Ministry of Internal Affairs and Communications. Results The number of CT procedures performed per 1,000 population increased from 210 in 2008 to 283 in 2020. The number of CT procedures performed per unit increased from 2,170 in 2008 to 2,445 in 2020. NDB Open Data revealed an annual increase in CT procedures per 1,000 population, from 221 in 2014 to 255 in 2022. Men underwent more CT scans than women across all age groups, with CT procedures per 1,000 population increasing with age (e.g. in 2022, 27 in men 0-9 years old to 1,182 in men ≥90 years old and 18 in women 0-9 years old to 835 in women ≥90 years old). Conclusion The number of CT procedures performed per 1,000 population in Japan has steadily increased. With the highest OECD rates in 2017 and 2020, mitigating overuse requires a dose management system, referral guidelines, and education regarding radiation risks for referring physicians.

Indexed as

Physician's RolePractice Patterns, Physicians'Radiation ExposureReferral and ConsultationTomography, X-Ray ComputedAdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHumansInfantJapanMalecomputed tomographydose management systemradiation doseradiation protection in medicine

Identifiers

PMID40399080
PMCPMC12740350

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.