Evidence map›Paper›PMID 34839377›Full record

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

Predictive performance of the Garvan Fracture Risk Calculator: a registry-based cohort study.

A Agarwal, W D Leslie, T V Nguyen, S N Morin, L M Lix, J A Eisman

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 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
3.3field-weighted citation impact, top 7% of its field
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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Previous fracture and subsequent fracture risk: a meta-analysis to update FRAX.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2023
    Pooled it
  4. Article
  5. External validation of a novel HR-pQCT based fracture risk assessment tool (μFRAC) in a male cohort: the osteoporotic fractures in men (MrOS) study.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
    Article
  6. Incidence of first and subsequent fractures in multiple myeloma patients: a parallel cohort study using UK CPRD dataset.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Article
  7. Longitudinal associations between changes in bone mechanical strength and fracture risk estimated by μFRAC.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
    Article
  8. Screening for Osteoporosis in Nonagenarians: A Scoping Review.Journal of the American Geriatrics Society · 2025
    Article
  9. Introducing FREMArchives of osteoporosis · 2025
    Article
  10. Article
  11. Emerging basic science concepts in geriatric fracture fixation and patient recovery.OTA international : the open access journal of orthopaedic trauma · 2025
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Adjusting conventional FRAX estimates of fracture probability according to the number of prior fractures.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
  20. 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

6 authors at 5 institutions in 2 countries.

A AgarwalDivision of General Internal Medicine, Department of Medicine, McMaster University, Hamilton, ON, Canada.
W D LeslieDepartment of Medicine (C5121), University of Manitoba, 409 Tache Avenue, Winnipeg, MB, R2H 2A6, Canada. bleslie@sbgh.mb.ca.
T V NguyenUniversity of Technology Sydney, Sydney, Australia.
S N MorinMcGill University, Montreal, Canada.
L M LixDepartment Community Healkth Sciences, University of Manitoba, Winnipeg, Canada.
J A EismanGarvan Institute of Medical Research, Sydney, Australia.
University of Manitoba · CAGarvan Institute of Medical Research · AUMcGill University · CAMcMaster University · CAUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The G arvan Fracture Risk Calculator predicts risk of osteoporotic fractures. We evaluated its predictive performance in 16,682 women and 2839 men from Manitoba, Canada, and found significant risk stratification, with a strong gradient across scores. The tool outperformed clinical risk factors and bone mineral density for fracture risk stratification.

introductionThe optimal model for fracture risk estimation to guide treatment decision-making remains controversial. Our objective was to evaluate the predictive performance of the Garvan Fracture Risk Calculator (FRC) in a large clinical registry from Manitoba, Canada.

methodsUsing the population-based Manitoba Bone Mineral Density (BMD) registry, we identified women and men aged 50-95 years undergoing baseline BMD assessment from September 1, 2012, onwards. Five-year Garvan FRC predictions were generated from clinical risk factors (CRFs) with and without femoral neck BMD. We identified incident non-traumatic osteoporotic fractures (OFs) and hip fractures (HFs) from population-based healthcare data sources to March 31, 2018. Fracture risk was assessed from area under the receiver operating characteristic curve (AUROC). Cox regression analysis and calibration ratios (5-year observed/predicted) were assessed for risk quintiles. All analyses were sex stratified.

resultsWe included 16,682 women (mean age 66.6 + / - SD 8.7 years) and 2839 men (mean age 68.7 + / - SD 10.2 years). During a mean observation time of 2.6 years, incident OFs were identified in 681 women and 140 men and HFs in 199 women and 22 men. AUROC showed significant fracture risk stratification with the Garvan FRC. Tool predictions without BMD were better than from age or decreasing weight, and the tool with BMD performed better than BMD alone. Garvan FRC with BMD performed better than without BMD, especially for HF prediction (AUROC 0.86 in women, 0.82 in men). There was a strong gradient of increasing risk across Garvan FRC quintiles (highest versus lowest, hazard ratios women 5.75 and men 3.43 for any OF; women 101.6 for HF). Calibration differences were noted, with both over- and underestimation in risk.

conclusionsGarvan FRC outperformed CRFs and BMD alone for fracture risk stratification, particularly for HF, but may require recalibration for accurate predictions in this population.

Indexed as

Hip FracturesOsteoporotic FracturesAgedAged, 80 and overBone DensityCohort StudiesFemaleHumansMaleMiddle AgedRegistriesRisk AssessmentRisk FactorsFractureGarvanOsteoporosisPredictive performanceRisk prediction

Identifiers

PMID34839377
OpenAlexW3216454965

What Socratic 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 Socratic graph.