Evidence map›Paper›PMID 39780751›Full record

Observational studyOrthopaedic surgery2025

How Accurately Does Bone Mineral Density Predict Bone Strength? A Clinical Observational Study of Osteoporosis Vertebral Compression Fractures in Postmenopausal Women.

Xuemeng Mu, Hengyan Zhang, Jia Zhang

Abstract readObservational Study
In one paragraph

Observational study in Orthopaedic surgery, 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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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

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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.

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

3 authors.

Xuemeng MuDepartment of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
Hengyan ZhangDepartment of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
Jia ZhangDepartment of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.ORCID https://orcid.org/0000-0002-3802-5997

Funding

CAMS Innovation Fund for Medical Sciences (CIFMS) 2023-I2M-C&T-B-044
6 · The paper itself

Abstract

objectivesDual energy x-ray absorptiometry (DXA) provides incomplete information about bone strength. There are few data on the relationship between osteoporosis-related examinations and bone strength. The objective of the present study was to determine which osteoporosis-related examinations best predicted trabecular bone strength, and to enhance a formula for predicting bone strength on the basis of bone density examination.

methodsThis observational study included postmenopausal women (aged over 50 years) who underwent unilateral percutaneous kyphoplasty (PKP) surgery in the lumbar spine between September 2021 and June 2023. The pressure within each balloon expansion circle was extracted to reflect the true bone strength. The NHANES 2013-2014 data were used to assess the performance of the formula. The performance of the formula was compared with that of the observed actual fractures. Bland-Altman analysis was used to compare the agreement between the formula and the fracture risk assessment tool (FRAX) score.

resultsA total of 40 postmenopausal women (mean age ± standard deviation, 70.90 years ± 10.30) were enrolled. The average balloon pressure was 59.23 psi (± 12.40, means ± SDs). The mean BMD of total lumbar spine (average of L1-L4) was 0.89 g/cm

conclusionsAfter adjustment, the DXA response rate to bone strength reached 72%, indicating a strong correlation. In addition, Bone Strength = DXA × 27 - Age × 0.585-BMI × 0.887 + 98.

Indexed as

Bone DensityFractures, CompressionOsteoporosis, PostmenopausalOsteoporotic FracturesSpinal FracturesAbsorptiometry, PhotonAgedFemaleHumansKyphoplastyLumbar VertebraeMiddle Agedballoon pressurebone mineral density (BMD)bone strengthdual energy x‐ray absorptiometry (DXA)percutaneous kyphoplasty (PKP)surgery

Identifiers

PMID39780751
PMCPMC11962276

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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.