Evidence map›Paper›PMID 41473245›Full record

ArticleFrontiers in endocrinology2025

Performance of USPSTF-recommended osteoporosis risk assessment tools in identifying osteoporosis in older men: a multicentre retrospective study.

Xin Li, Dongsheng Guo, Chen Yan, Mingran Luo, Yixin Liang, Jian Zhang, Lin Cheng, Yuefu Dong

Abstract readMulticenter Study
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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

8 authors.

Xin Li *Department of Orthopedics, The Affiliated Lianyungang Hospital of Xuzhou Medical University (The First People's Hospital of Lianyungang), Lianyungang, Jiangsu, China.
Dongsheng Guo *Department of Orthopedics, The Affiliated Lianyungang Hospital of Xuzhou Medical University (The First People's Hospital of Lianyungang), Lianyungang, Jiangsu, China.
Chen YanDepartment of Orthopedics, The Affiliated Lianyungang Hospital of Xuzhou Medical University (The First People's Hospital of Lianyungang), Lianyungang, Jiangsu, China.
Mingran LuoDepartment of Orthopedics, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Yixin LiangDepartment of Osteoporosis, The Affiliated Lianyungang Hospital of Xuzhou Medical University (The First People's Hospital of Lianyungang), Lianyungang, Jiangsu, China.
Jian ZhangDepartment of Orthopedics, The Affiliated Lianyungang Hospital of Xuzhou Medical University (The First People's Hospital of Lianyungang), Lianyungang, Jiangsu, China.
Lin ChengDepartment of Orthopedics, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Yuefu DongDepartment of Orthopedics, The Affiliated Lianyungang Hospital of Xuzhou Medical University (The First People's Hospital of Lianyungang), Lianyungang, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the growing recognition of osteoporosis in men, screening tools validated for this population remain underutilized. This study aimed to evaluate the diagnostic performance of three U.S. Preventive Services Task Force (USPSTF)-recommended risk assessment tools for identifying osteoporosis among older men. Methods: This retrospective cross-sectional study included 2,824 men aged ≥65 years who underwent dual-energy X-ray absorptiometry (DXA) at two teaching hospitals between 2015 and 2024. Osteoporosis was defined as a T-score ≤ -2.5 at the femoral neck, total hip, or lumbar spine. Three screening tools, the Osteoporosis Self-Assessment Tool (OST), Osteoporosis Index of Risk (OSIRIS), and Simple Calculated Osteoporosis Risk Estimation (SCORE)-were calculated for each participant. Diagnostic accuracy was assessed using receiver operating characteristic (ROC) curve analysis, with the area under the curve (AUC) compared using the DeLong test. Optimal thresholds were identified by maximizing the Youden index. Results: Among the 2,824 men included in the study, 598 (21.2%) were diagnosed with osteoporosis. All three USPSTF-recommended tools demonstrated acceptable discrimination. The AUCs were 0.7339 (95% CI, 0.7121-0.7556) for OST, 0.7168 (95% CI, 0.6939-0.7396) for OSIRIS, and 0.7153 (95% CI, 0.6931-0.7375) for SCORE. Pairwise comparisons showed that OST performed significantly better than OSIRIS (ΔAUC = 0.0171, p = 0.0124) and SCORE (ΔAUC = 0.0186, p = 0.0002), whereas OSIRIS and SCORE demonstrated comparable performance (ΔAUC = 0.0015, p = 0.8523). The optimal thresholds were -0.7 for OST, -1.5 for OSIRIS, and 11.5 for SCORE, producing sensitivities of 0.7743, 0.6739, and 0.6890 and specificities of 0.5714, 0.6698, and 0.6352. Conclusions: Among USPSTF-endorsed screening tools, OST demonstrated the best overall diagnostic performance for identifying osteoporosis in older men. Its simplicity and favorable sensitivity-specificity balance support its utility as a practical first-line screening approach in clinical settings.

Indexed as

OsteoporosisAbsorptiometry, PhotonAgedAged, 80 and overBone DensityCross-Sectional StudiesHumansMaleMass ScreeningRetrospective StudiesRisk AssessmentROC CurveUnited Statesmenosteoporosisrisk assessmentscreeningUSPSTF

Identifiers

PMID41473245
PMCPMC12745153

What Socratic holds

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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.