Evidence map›Paper›PMID 42665753›Full record

ArticleArchives of osteoporosis2026

High fracture risk in postmenopausal women established by FRAX, Garvan, and POL-RISK algorithms.

Rafał Hebel, Wojciech Pluskiewicz, Piotr Adamczyk, Bogna Drozdzowska, Hanna Hüpsch

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Article in Archives of osteoporosis, 2026. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Rafał HebelOpen Care Department, Egis Polska, z o.o, Warsaw, Poland. rafal.hebel@gmail.com.ORCID http://orcid.org/0009-0001-9118-425X
Wojciech PluskiewiczDepartment and Clinic of Internal Diseases, Diabetology, and Nephrology, Metabolic Bone Diseases Unit, Faculty of Medical Sciences, Medical University of Silesia, Katowice, Poland.ORCID http://orcid.org/0000-0003-1839-6560
Piotr AdamczykDepartment of Pediatrics, Faculty of Medical Sciences, Medical University of Silesia, Katowice, Poland.ORCID http://orcid.org/0000-0001-9557-221X
Bogna DrozdzowskaDepartment of Pathomorphology, Faculty of Medical Sciences, Medical University of Silesia, Katowice, Poland.ORCID http://orcid.org/0000-0002-2287-6842
Hanna HüpschDepartment of Periodontal Diseases and Oral Mucosa Diseases, Faculty of Medical Sciences, Medical University of Silesia, Katowice, Poland.ORCID http://orcid.org/0000-0002-9866-9356

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study presents osteoporotic fracture risk in postmenopausal women established by FRAX, Garvan and POL-RISK algorithms for next 10 years. In studied group, a relatively high level of fracture risk was shown. These findings emphasize the importance of increasing treatment to reduce the expected rise in fracture rate in the future. PURPOSE: The aim of the study was to assess the 10-year osteoporotic fracture risk of postmenopausal women using the FRAX, Garvan, and POL-RISK algorithms and to compare those tools in terms of identification of high-risk subjects.

methodsThe study group consisted of 508 consecutive postmenopausal women recruited in three osteoporotic outpatient clinics. Mean age was 69.8 ± 7.5 years. Data on clinical risk factors were collected. Bone status was assessed at the hip using a Lunar Prodigy device. Fracture risk was established by FRAX, Garvan, and POL-RISK algorithms for the next 10 years.

resultsMean risk for major fractures for FRAX was 8.85 ± 5.43% and for any fractures for Garvan and POL-RISK 29.71 ± 20.53% and 28.1 ± 14.85%, respectively. Mean risk for hip fractures for FRAX was 3.23 ± 3.72% and 13.33 ± 18.30% for Garvan. For FRAX in 185 women (36.4%), hip fracture risk was high (≥ 3%) and in 119 (23.4%) very high ≥ 4.5% and high risk for major fracture was in 159 (31.3%) women (≥ 10%) and very high (≥ 15%) in 64 (12.6%) women. For therapeutic thresholds, high risk for FRAX major fracture, POL-RISK, and Garvan was noted in 316 (62.2%), 374 (73.5%) and 298 (58.5%) women, respectively. The results correlated for any (major) significantly between algorithms FRAX-Garvan r = 0.66, p < 0.001, FRAX-POL-RISK r = 0.60, p < 0.001, and Garvan-POL-RISK r = 0.93, p < 0.001. A stronger relationship was observed between Garvan and POL-RISK than between either of them and FRAX. FRAX hip risk correlated with Garvan hip risk r = 0.57, p < 0.001.

conclusionIn studied group, a relatively high level of fracture risk, especially for hip, was shown. Considering these findings, it is advisable to expand the population of postmenopausal women eligible for effective anti-osteoporotic therapy.

Indexed as

AlgorithmsOsteoporosis, PostmenopausalOsteoporotic FracturesAgedAged, 80 and overBone DensityFemaleHip FracturesHumansMiddle AgedPostmenopauseRisk AssessmentRisk FactorsFracture riskOsteoporosisPostmenopausal women

Identifiers

PMID42665753

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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.