Evidence map›Paper›PMID 40993172›Full record

ArticleScientific reports2025

Diagnostic efficiency of chest CT for opportunistic screening for osteoporosis and low BMD in postmenopausal women.

Zhiqiang Hou, Yanzheng Gao, Shuai Ding, Fuqiang Shao, Guangquan Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. 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

5 authors.

Zhiqiang HouDepartment of Spine and Spinal Cord Surgery, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, China. hzq181026@foxmail.com.
Yanzheng GaoDepartment of Spine and Spinal Cord Surgery, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, China.
Shuai DingDepartment of Spine and Spinal Cord Surgery, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, China.
Fuqiang ShaoDepartment of Spine and Spinal Cord Surgery, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, China.
Guangquan ZhangDepartment of Spine and Spinal Cord Surgery, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, China. doctorzgq2023@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early diagnosis and treatment of osteoporosis and low bone mineral density (BMD) may help avoiding vertebral or other fractures and improving the outcomes. While computed tomography (CT) scans are beneficial for diagnosis, the optimal and most convenient method for opportunistic screening is not yet determined. This retrospective study evaluated how well chest CT can diagnose osteoporosis and low BMD at the T11 and T12 levels, using dual-energy X-ray absorptiometry (DXA) as the standard reference in participants who received CT and DXA scans. We included 147 postmenopausal women. Based on the lowest T-score from the DXA test, all patients were classified into normal, osteopenia, and osteoporosis groups. Both T11 HU and T12 HU showed a strong correlation with T-scores (P < 0.01). They are similar in their ability to diagnose osteoporosis (AUC, 0.806 vs. 0.841; P = 0.210) and low BMD (AUC, 0.824 vs. 0.825; P = 0.977), which may serve as a readily accessible screening tool for early diagnosis.

Indexed as

Bone DensityBone Diseases, MetabolicOsteoporosisOsteoporosis, PostmenopausalTomography, X-Ray ComputedAbsorptiometry, PhotonAgedFemaleHumansMass ScreeningMiddle AgedPostmenopauseRetrospective StudiesChest computed tomographyDual-energy x-ray absorptiometryOpportunistic screeningOsteoporosis

Identifiers

PMID40993172
PMCPMC12460880

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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 OpenQuestion graph.