Evidence map›Paper›PMID 30334182›Full record

Observational studyJournal of general internal medicine2019

Predicting Fracture Risk in Younger Postmenopausal Women: Comparison of the Garvan and FRAX Risk Calculators in the Women's Health Initiative Study.

Carolyn J Crandall, Joseph Larson, Andrea LaCroix, Jane A Cauley, Meryl S LeBoff, Wenjun Li, Erin S LeBlanc, Beatrice J Edwards, JoAnn E Manson, Kristine Ensrud

Abstract readComparative StudyMulticenter StudyObservational Study
In one paragraph

Observational study in Journal of general internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

  1. Pooled it
  2. Pooled it
  3. In vivo mechanical assessment of cortical bone rigidity enhances fracture discrimination beyond DXA in postmenopausal women.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
    Article
  4. Approach to osteoporosis diagnosis and fracture risk management in primary care.Canadian family physician Medecin de famille canadien · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Race-specific FRAX models are evidence-based and support equitable care: a response to the ASBMR Task Force report on Clinical Algorithms for Fracture Risk.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024
    Article
  9. Article
  10. Article
  11. Enhanced osteoporotic fracture prediction in postmenopausal women using Bayesian optimization of machine learning models with genetic risk score.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Bone density and trabecular bone score to predict fractures in adults aged 20-39 years: a registry-based study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2023
    Article
  17. Article
  18. Article
  19. Current Status of the Diagnosis and Management of Osteoporosis.International journal of molecular sciences · 2022
    Review
  20. 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

10 authors.

Carolyn J CrandallDivision of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine at University of California, Los Angeles, CA, USA. ccrandall@mednet.ucla.edu.
Joseph LarsonWHI Clinical Coordinating Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Andrea LaCroixFamily and Preventive Medicine, University of California, San Diego, La Jolla, CA, USA.
Jane A CauleyDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Meryl S LeBoffEndocrine, Diabetes and Hypertension Division, Brigham and Women's Hospital, Boston, MA, USA.
Wenjun LiDivision of Biomedical Data Science, Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA.
Erin S LeBlancKaiser Permanente Center for Health Research NW, Portland, OR, USA.
Beatrice J EdwardsDepartment of Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
JoAnn E MansonDivision of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital 3rd Floor, Harvard Medical School, Boston, MA, USA.
Kristine EnsrudDivision of Epidemiology & Community Health, University of Minnesota Medical School, Minneapolis, MN, USA.

Funding

NHLBI NIH HHS HHSN268201600001CNHLBI NIH HHS HHSN268201600002CNHLBI NIH HHS HHSN268201600003CNHLBI NIH HHS HHSN268201600004C
6 · The paper itself

Abstract

backgroundGuidelines recommend fracture risk assessment in postmenopausal women aged 50-64, but the optimal method is unknown.

objectivesTo compare discrimination and calibration of the Fracture Risk Assessment Tool (FRAX) and Garvan fracture risk calculator for predicting fractures in postmenopausal women aged 50-64 at baseline.

designProspective observational study.

participantsSixty-three thousand seven hundred twenty-three postmenopausal women aged 50-64 years participating in the Women's Health Initiative Observational Study and Clinical Trials. MAIN MEASURES: Incident hip fractures and major osteoporotic fractures (MOF) during 10-year follow-up. Calculated FRAX- and Garvan-predicted hip fracture and MOF fracture probabilities. KEY

resultsThe observed 10-year hip fracture probability was 0.3% for women aged 50-54 years (n = 14,768), 0.6% for women aged 55-59 years (n = 22,442), and 1.1% for women aged 60-64 years (n = 25,513). At sensitivity thresholds ≥ 80%, specificity of both tools for detecting incident hip fracture during 10 years of follow-up was low: Garvan 30.6% (95% confidence interval [CI] 30.3-31.0%) and FRAX 43.1% (95% CI 42.7-43.5%). At maximal area under the receiver operating characteristic curve (AUC(c), 0.58 for Garvan, 0.65 for FRAX), sensitivity was 16.0% (95% CI 12.7-19.4%) for Garvan and 59.2% (95% CI 54.7-63.7%) for FRAX. At AUC(c) values, sensitivity was lower in African American and Hispanic women than among white women and lower in women aged 50-54 than those 60-64 years old. Observed hip fracture probabilities were similar to FRAX-predicted probabilities but greater than Garvan-predicted probabilities. At AUC(c) values (0.56 for both tools), sensitivity for identifying MOF was also low (range 26.7-46.8%). At AUC(c) values (0.55 for both tools), sensitivity for identifying any clinical fracture ranged from 18.1 to 34.0%.

conclusionsIn postmenopausal women aged 50-64 years, the FRAX and Garvan fracture risk calculator discriminate poorly between women who do and do not experience fracture during 10-year follow-up. There is no useful threshold for either tool.

Indexed as

Fractures, BonePostmenopauseWomen's HealthAge FactorsFemaleFollow-Up StudiesHumansLongitudinal StudiesMiddle AgedOsteoporotic FracturesPredictive Value of TestsRisk FactorsROC Curvefracturefracture risk assessmentFRAXGarvanosteoporosis

Identifiers

PMID30334182
PMCPMC6374270

What OpenQuestion holds

Textmetadata
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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.