Evidence map›Paper›PMID 41717628›Full record

ArticleFrontiers in health services2026

Rational evaluation of computed tomography scans using a risk-adjusted model in a comprehensive public tertiary hospital in China.

Jia Guo, Xiaoguang Yang, Yueming Zhang, Pengfei Zhou, Lin Shu, Haibo Liu, Kuanyu Xu, Hanbo Zhang, Huahe Zhang, Hong Jia and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in health services, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jia Guo *School of Public Health, Southwest Medical University, Luzhou, China.
Xiaoguang Yang *Office of Medical Information and Data, Medical Support Center, The General Hospital of Western Theater Command, PLA, Chengdu, China.
Yueming Zhang *East-District Out-Patient Section, State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
Pengfei Zhou *Department of Health Economics, The General Hospital of Western Theater Command, PLA, Chengdu, China.
Lin ShuOffice of Medical Information and Data, Medical Support Center, The General Hospital of Western Theater Command, PLA, Chengdu, China.
Haibo LiuDepartment of Medical Engineering, Medical Support Center, The General Hospital of Western Theater Command, PLA, Chengdu, China.
Kuanyu XuDepartment of Information, Medical Support Center, The General Hospital of Western Theater Command, PLA, Chengdu, China.
Hanbo ZhangDepartment of Information, Medical Support Center, The General Hospital of Western Theater Command, PLA, Chengdu, China.
Huahe ZhangDepartment of Information, Medical Support Center, The General Hospital of Western Theater Command, PLA, Chengdu, China.
Hong JiaSchool of Public Health, Southwest Medical University, Luzhou, China.
Yunming LiSchool of Public Health, Southwest Medical University, Luzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In the context of medical insurance payment reform in China, Computed tomography (CT), as a key type of large medical equipment, currently faces challenges of over-scanning or under-scanning. This study aims to identify the factors influencing the number of CT scans, perform risk adjustment on the number of CT scans, and evaluate the rationality of the number of CT scans for each major diagnostic category (MDC). Methods: In the public tertiary general hospital in Sichuan Province, the top 10 MDCs with the highest total number of CT scans in 2023 were selected. A risk-adjusted model was used to estimate the expected number of CT scans. The utilization of CT scans was classified as over-scanning, under-scanning, and rational scanning based on the ratio of observed to expected scan numbers. Results: The top 10 MDCs included 29,461 encounters and 37,672 CT scans. The number of CT scans varied across different MDCs: five exhibited over-scanning, three showed under-scanning, and two demonstrated rational scanning. The risk-adjusted model revealed that age, admission condition, first-time hospitalization, medical insurance, and length of stay were statistically significant in determining both the decision to perform a CT scan and the number of CT scans conducted. Conclusions: This study evaluated the rationality of the number of CT scans across the top 10 MDCs, established a methodological framework for hospital to explore the rationality of the number of other medical examinations.

Indexed as

Chinacomputed tomographyMDCrational evaluationrisk-adjusted model

Identifiers

PMID41717628
PMCPMC12913540

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.