Evidence map›Paper›PMID 41877926›Full record

ReviewFrontiers in endocrinology2026

Bone mineral density assessment by DXA in disease-associated osteoporosis: the limitations.

Kamyar Asadipooya, Loren Wissner Greene

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Review
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

2 authors.

Kamyar AsadipooyaDivision of Endocrinology and Molecular Medicine, Department of Medicine, University of Kentucky, Lexington, KY, United States.
Loren Wissner GreeneHolman Division of Endocrinology, Department of Medicine, NYU Grossman School of Medicine, New York, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measuring bone density by DXA is a routine means of predicting fracture risk. These 2-dimensional images have limitations and may underestimate the risk of fracture due to inadequate evaluation of bone strength. The inclusion of clinical risk factors, calculating FRAX and adding TBS values all improve our ability in bone screening by DXA. However, secondary osteoporosis is not always associated with classical risk factors for bone loss. In addition, unrecognized underlying conditions may contribute to further bone loss and increased risk of low trauma fracture. Therefore, new technologies that assess bone microarchitecture, such as HR-pQCT, can improve our risk assessment for fragility fracture.

Indexed as

Absorptiometry, PhotonBone DensityOsteoporosisOsteoporotic FracturesHumansRisk AssessmentRisk FactorsBMDDXAFRAXHR-pQCTTBS

Identifiers

PMID41877926
PMCPMC13006282

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.