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ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2022

Prediction of imminent fracture risk in Canadian women and men aged 45 years or older: external validation of the Fracture Risk Evaluation Model (FREM).

Sören Möller, Michael K Skjødt, Lin Yan, Bo Abrahamsen, Lisa M Lix, Eugene V McCloskey, Helena Johansson, Nicholas C Harvey, John A Kanis, Katrine Hass Rubin and 1 more

Abstract read
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In one paragraph

Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. The development and validation of a prediction model for imminent vertebral osteoporotic fracture in postmenopausal women.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  5. An enhanced Fracture Risk Evaluation Model (FREM) using national health data on morbidity and medications.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2025
    Article
  6. Introducing FREMArchives of osteoporosis · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. FREM predicts 10-year incident fracture risk independent of FRAX® probability: a registry-based cohort study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2022
    Article
  11. Review
  12. Epidemiology and reporting of osteoporotic vertebral fractures in patients with long-term hospital records based on routine clinical CT imaging.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2022
    Article
  13. Short time horizons for fracture prediction tools: time for a rethink.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021
    Article
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

11 authors.

Sören MöllerOpen Patient data Explorative Network, Odense University Hospital, Odense, Denmark. soren.moller@rsyd.dk.ORCID http://orcid.org/0000-0003-0858-4269
Michael K SkjødtResearch unit OPEN, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.ORCID http://orcid.org/0000-0002-2109-8989
Lin YanUniversity of Manitoba, Winnipeg, Canada.
Bo AbrahamsenResearch unit OPEN, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.ORCID http://orcid.org/0000-0002-2730-6080
Lisa M LixUniversity of Manitoba, Winnipeg, Canada.ORCID http://orcid.org/0000-0001-8685-3212
Eugene V McCloskeyCentre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK.ORCID http://orcid.org/0000-0003-0177-8140
Helena JohanssonCentre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK.ORCID http://orcid.org/0000-0002-7720-9297
Nicholas C HarveyMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0002-8194-2512
John A KanisCentre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK.ORCID http://orcid.org/0000-0002-3129-4326
Katrine Hass RubinOpen Patient data Explorative Network, Odense University Hospital, Odense, Denmark.ORCID http://orcid.org/0000-0001-5045-536X
William D LeslieUniversity of Manitoba, Winnipeg, Canada.ORCID http://orcid.org/0000-0002-1056-1691

Funding

Medical Research Council G0400491Medical Research Council MC_PC_21001Medical Research Council MC_PC_21003Medical Research Council MC_U147585819Medical Research Council MC_U147585827Medical Research Council MC_UP_A620_1014Medical Research Council MC_UP_A620_1015Medical Research Council MC_UU_12011/2
6 · The paper itself

Abstract

The Fracture Risk Evaluation Model (FREM) identifies individuals at high imminent risk of major osteoporotic fractures. We validated FREM on 74,828 individuals from Manitoba, Canada, and found significant fracture risk stratification for all FREM scores. FREM performed better than age alone but not as well as FRAX® with BMD.

introductionThe FREM is a tool developed from Danish public health registers (hospital diagnoses) to identify individuals over age 45 years at high imminent risk of major osteoporotic fractures (MOF) and hip fracture (HF). In this study, our aim was to examine the ability of FREM to identify individuals at high imminent fracture risk in women and men from Manitoba, Canada.

methodsWe used the population-based Manitoba Bone Mineral Density (BMD) Program registry, and identified women and men aged 45 years or older undergoing baseline BMD assessment with 2 years of follow-up data. From linked population-based data sources, we constructed FREM scores using up to 10 years of prior healthcare information.

resultsThe study population comprised 74,828 subjects, and during the 2 years of observation, 1612 incident MOF and 299 incident HF occurred. We found significant fracture risk stratification for all FREM scores, with AUC estimates of 0.63-0.66 for MOF for both sexes and 0.84 for women and 0.65-0.67 for men for HF. FREM performed better than age alone but not as well as FRAX® with BMD. The inclusion of physician claims data gave slightly better performance than hospitalization data alone. Overall calibration for 1-year MOF prediction was reasonable, but HF prediction was overestimated.

conclusionIn conclusion, the FREM algorithm shows significant fracture risk stratification when applied to an independent clinical population from Manitoba, Canada. Overall calibration for MOF prediction was good, but hip fracture risk was systematically overestimated indicating the need for recalibration.

Indexed as

Hip FracturesOsteoporotic FracturesAbsorptiometry, PhotonBone DensityCanadaFemaleHumansMaleManitobaMiddle AgedRisk AssessmentRisk FactorsAutomated risk calculationExternal validationOsteoporotic fracturesPrediction models

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Registered trials

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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.