Evidence map›Paper›PMID 42899192›Full record

ReviewFrontiers in endocrinology2026

Advancing fracture risk prediction: established assessment tools and emerging HR-pQCT-based approaches.

Raveen K Sidhu, Meghan G Donaldson, Steven K Boyd

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. Not yet cited in PubMed.

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

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.

Raveen K SidhuMcCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Meghan G DonaldsonMcCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Steven K BoydMcCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporotic fractures, or fragility fractures, pose a substantial global healthcare burden. Individuals who experience them report significant declines in their quality of life. Identifying individuals at risk of fragility fractures is key to reducing the future fracture burden. However, due to demographic shifts, the proportion of older adults is growing globally. As fracture risk rises with age, an increase in the incidence of osteoporotic fractures is also anticipated. However, existing screening initiatives and fracture risk assessment tools remain challenged in identifying individuals at risk of experiencing osteoporotic fractures. To adapt to the predicted incidence of fragility fractures, knowledge of established fracture risk tools and emerging approaches is needed to inform the development of future fracture prediction tools. Correspondingly, this narrative review presents an overview of established fracture risk assessment tools, including FRAX, FRAXplus, CAROC, Garvan, and QFracture, which use clinical risk factors and frequently, bone mineral density estimates, to produce fracture risk prediction scores. We review methods, advantages, limitations, and performance of the established tools in detail. Later, we highlight emerging fracture risk assessment tools that integrate direct assessment of bone using high-resolution peripheral quantitative computed tomography (HR-pQCT). The advantages and limitations of the emerging HR-pQCT-based fracture risk assessment models are also reviewed in detail. Finally, future directions for fracture risk assessment tool development are discussed.

Indexed as

Osteoporotic FracturesTomography, X-Ray ComputedBone DensityHumansOsteoporosisRisk AssessmentRisk Factorsbonebone microarchitecturecomputed tomographyfallsfracture predictionfracture risk assessmentHR-pQCTosteoporosis

Identifiers

PMID42899192
PMCPMC13679622

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.