Evidence map›Paper›PMID 42283886›Full record

ArticleArchives of osteoporosis2026

Risk stratification improves outcomes in an osteoporosis fracture liaison service.

Shejil Kumar, Lillias Nairn, Angela Bowman, Sally Dwyer, Ayanthi Wijewardene, Dahlia F Davidoff, Matti L Gild, Christian M Girgis, Lyn March, Roderick J Clifton-Bligh

Abstract read
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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

10 authors.

Shejil KumarDepartment of Diabetes, Endocrinology & Metabolism, Royal North Shore Hospital, Sydney, NSW, Australia. shejil_kumar@hotmail.com.
Lillias NairnFaculty of Medicine & Health, Discipline of Physiotherapy, University of Sydney, Sydney, NSW, Australia.
Angela BowmanDepartment of Diabetes, Endocrinology & Metabolism, Royal North Shore Hospital, Sydney, NSW, Australia.
Sally DwyerDepartment of Physiotherapy, Royal North Shore Hospital, Sydney, NSW, Australia.
Ayanthi WijewardeneDepartment of Diabetes, Endocrinology & Metabolism, Royal North Shore Hospital, Sydney, NSW, Australia.
Dahlia F DavidoffDepartment of Diabetes, Endocrinology & Metabolism, Royal North Shore Hospital, Sydney, NSW, Australia.
Matti L GildDepartment of Diabetes, Endocrinology & Metabolism, Royal North Shore Hospital, Sydney, NSW, Australia.
Christian M GirgisDepartment of Diabetes, Endocrinology & Metabolism, Royal North Shore Hospital, Sydney, NSW, Australia.
Lyn MarchFaculty of Medicine & Health, University of Sydney, Sydney, Australia, NSW.
Roderick J Clifton-BlighDepartment of Diabetes, Endocrinology & Metabolism, Royal North Shore Hospital, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selecting patients at higher baseline risk of fragility fracture may optimise clinical outcomes and cost-effectiveness of hospital fracture liaison services (FLS). In this cohort study, we found a risk-stratified approach led to a higher rate of treatment initiation and estimated number of fractures prevented compared to the traditional FLS strategy. PURPOSE: Hospital-based fracture liaison services (FLS) are cost-effective and reduce refracture risk. However, optimal FLS characteristics to maximise clinical and cost-effectiveness are uncertain.

methodsWe reviewed data for FLS patients at Royal North Shore Hospital, Sydney (2015-2023). In 2018, the patient selection strategy was adjusted from a traditional approach (any fragility fracture, ≥ 50 years) to preferentially invite those either ≥ 60 years with any fragility fracture, or any presenting with hip and/or vertebral fractures. Cohorts entering the service pre-(FLS1) and post-this timepoint (FLS2) were compared regarding clinical characteristics, estimated fracture risk and pharmacotherapy initiation. Modelling was performed to estimate fractures averted.

resultsThe total cohort (n = 1903) was median 68-years-old and predominantly female (77%). Both cohorts were similar in sex distribution and prevalence of various fracture risk factors. The FLS2 cohort was older (median 69 vs 65 years, p < 0.001), more frequently presented with hip/vertebral fracture (21.4% vs 13.8%, p < 0.001), had higher Garvan-estimated 10-year fracture-risk (median 36.0% vs 27.4%, p < 0.001) and more frequently initiated pharmacotherapy (79.0% vs 64.6%, p < 0.001). In the overall cohort, strongest predictors of treatment initiation were older age, osteoporotic bone density, hip/vertebral fracture and female sex. Over 5 years, risk-stratified FLS was estimated to avert more osteoporotic (72 vs 44, p < 0.001) and hip fractures (20 vs 10, p < 0.001) per 1000 patients compared with traditional FLS.

conclusionIn this large hospital-based FLS study, a risk-stratified selection strategy was associated with more frequent pharmacotherapy initiation and estimated to avert more fractures; however, longitudinal assessment of treatment adherence and refracture rates is required to confirm utility.

Indexed as

Osteoporotic FracturesAgedAged, 80 and overCohort StudiesCost-Benefit AnalysisFemaleHip FracturesHumansMaleMiddle AgedNew South WalesOsteoporosisRisk AssessmentRisk FactorsSecondary PreventionFracture liaison servicesOsteoporosisRisk stratification

Identifiers

PMID42283886
PMCPMC13263213

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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.