ArticleJournal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research2021
Opportunistic Screening Using Low-Dose CT and the Prevalence of Osteoporosis in China: A Nationwide, Multicenter Study.
Article in Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07739628 (Prospective Clinical Validation Study of a Deep Learning Model for Opportunistic Osteoporosis Screening Based on Non-Contrast CT Scans), which is not on this map. Cited by 129 papers, 4 of them syntheses that pooled it.
What it found
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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.
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.
Prospective Clinical Validation Study of a Deep Learning Model for Opportunistic Osteoporosis Screening Based on Non-Contrast CT Scans
Who cites it
129 citing papers in PubMed, 4 syntheses or guidelines pooled it, 223 citations in OpenAlex.
- Deep Learning-Assisted Automated Diagnosis of Osteoporosis Based on Computed Tomography Scans: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Prevalence rate of primary osteoporosis in China: a meta-analysis.BMC public health · 2024Pooled it
- The Effects ofNutrients · 2023Pooled it
- Prevalence of osteoporosis and incidence of related fractures in developed economies in the Asia Pacific region: a systematic review.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2023Pooled it
- The value of radiomics to predict abnormal bone mass in type 2 diabetes mellitus patients based on CT imaging for paravertebral muscles.Frontiers in endocrinology · 2022Trial
- A higher threshold of lumbar spine QCT trabecular BMD of < 95 or < 100 mg/mL for fragility fracture risk screening among Caucasian men than that of < 80 mg/mL for Caucasian women.Skeletal radiology · 2026Article
- Correlation Between Paravertebral Muscles Degeneration and Spinopelvic Parameters in Patients With Osteoporotic Vertebral Compression Fractures.Medical science monitor : international medical journal of experimental and clinical research · 2026Article
- Construction and validation of a nomogram for the diagnosis of postmenopausal osteoporosis.Molecular medicine reports · 2026Article
- Construction of musculoskeletal quantitative model based on deep learning and study of musculoskeletal relationship in patients with osteoporosis.Journal of advanced research · 2026Article
- Multi-center validation of automated CT-based L1 vertebral Hounsfield unit.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026Article
- Prevalence and risk factors of bone fragility in duchenne muscular dystrophy: A systematic review and meta-analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026Review
- [Interdisciplinary Research on Artificial Intelligence and Longevity Medicine: Global Landscape, Collaboration Networks, and Frontier Trends (2010-2025)].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026Article
- Comparisons of phantom-based and phantomless QCT bone mineral density for predicting subsequent fractures.Bone & joint research · 2026Article
- Reference values and cut-points for trunk myopenia and myosteatosis in Chinese adults: a secondary analysis of the China Action on Spine and Hip study.Quantitative imaging in medicine and surgery · 2026Article
- Fully automated system predicts osteoporotic vertebral fracture across institutions using lumbar MRI paraspinal muscle signatures.NPJ digital medicine · 2026Article
- Radiation dose has no significant impact on CT-based bone mineral density measurements in a large-animal model.Scientific reports · 2026Article
- The Role of NAT10-Mediated ac4C Modification in Osteoblast Function and Bone Formation: Insights from Integrative Bioinformatics and Experimental Validation.Physiological research · 2026Article
- Differences in lumbar spine bone mineral density measured by quantitative computed tomography and dual-energy X-ray absorptiometry: an age- and sex-specific analysis.Journal of orthopaedic surgery and research · 2026Article
- Advancing osteoporosis opportunistic screening: multicenter validation of a deep learning algorithm using abdominal CT scans.Abdominal radiology (New York) · 2026Article
- Current Status of AI-Assisted Screening for Opportunistic Osteoporosis.Current osteoporosis reports · 2026Review
69 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
42 authors at 20 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Opportunistic screening for osteoporosis can be performed using low-dose computed tomography (LDCT) imaging obtained for other clinical indications. In this study we explored the CT-derived bone mineral density (BMD) and prevalence of osteoporosis from thoracic LDCT in a large population cohort of Chinese men and women. A total of 69,095 adults (40,733 men and 28,362 women) received a thoracic LDCT scan for the purpose of lung cancer screening between 2018 and 2019, and data were obtained for analysis from the China Biobank Project, a prospective nationwide multicenter population study. Lumbar spine (L
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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.