Evidence map›Paper›PMID 40264023›Full record

ArticleBMC geriatrics2025

Prediction of abnormal bone mass with a pericoronary adipose tissue Attenuation model.

Yanbo Liang, Xiaoqing Yuan, Qiang Shi, Hui Yang, Luping Zhao, Minghao Che, Yue Chen, Changqin Li, Qi Yang, Jian Qin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC geriatrics, 2025. 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
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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

10 authors.

Yanbo Liang *Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, No.366 Taishan Street, Tai'an City, Shandong Province, 271000, China.
Xiaoqing Yuan *Chinese Institute for Medical Research, Capital Medical University, Beijing, China.
Qiang ShiDepartment of Radiology, The Second Affiliated Hospital of Shandong First Medical University, No.366 Taishan Street, Tai'an City, Shandong Province, 271000, China.
Hui YangDepartment of Radiology, The Second Affiliated Hospital of Shandong First Medical University, No.366 Taishan Street, Tai'an City, Shandong Province, 271000, China.
Luping ZhaoDepartment of Radiology, Affiliated Hospital of Jining Medical University, Jining, 272000, China.
Minghao CheDepartment of Radiology, The Second Affiliated Hospital of Shandong First Medical University, No.366 Taishan Street, Tai'an City, Shandong Province, 271000, China.
Yue ChenDepartment of Radiology, The Second Affiliated Hospital of Shandong First Medical University, No.366 Taishan Street, Tai'an City, Shandong Province, 271000, China.
Changqin LiDepartment of Radiology, The Second Affiliated Hospital of Shandong First Medical University, No.366 Taishan Street, Tai'an City, Shandong Province, 271000, China.
Qi YangDepartment of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China. yangyangqiqi@gmail.com.
Jian QinDepartment of Radiology, The Second Affiliated Hospital of Shandong First Medical University, No.366 Taishan Street, Tai'an City, Shandong Province, 271000, China. sdqinjian@126.com.

Funding

2022 Jining Key Research and Development Plan Project 2022YXNS033Academic Promotion Programme of Shandong First Medical University No.2019QL017the Science and Technology Development Plan Project of Tai'an 2020NS133the Science and Technology Development Plan Project of Tai'an 2021NS251
6 · The paper itself

Abstract

backgroundThe aim is to explore the value of pericoronary adipose tissue (PCAT) attenuation in predicting abnormal bone mass by establishing a prediction model. MATERIALS AND

methods361 patients with coronary computed tomography angiography (CCTA) and quantitative computed tomography (QCT) scans were retrospectively recruited. 311 patients from institution 1 from July 2021 to January 2023 were divided into a training cohort (n = 217) and an internal cohort (n = 94). The external cohort comprised 50 patients from institution 2 from January 2023 to August 2023. Clinical variables and PCAT attenuation of the major epicardial vessels were obtained. Univariate and multivariate logistic regression analyses were used to identify factors with statistical significance. Model 1 was constructed based on clinical variables. Model 2 was constructed by combining the clinical variables with the PCAT attenuation. The performances of the models were assessed using receiver operating characteristic curve analysis, calibration curves and decision curve analysis (DCA).

resultsAge, gender, coronary artery disease reporting and data system (CAD-RADS), statins and RCA

conclusionThe model incorporating clinical factors and RCA

Indexed as

Adipose TissueBone DensityCoronary Artery DiseaseAgedCohort StudiesComputed Tomography AngiographyCoronary AngiographyEpicardial Adipose TissueFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesCoronary atherosclerosisCoronary computed tomography angiographyOsteoporosisPericoronary adipose tissue

Identifiers

PMID40264023
PMCPMC12016394

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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.