Evidence map›Paper›PMID 34953074›Full record

ArticleJournal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research2022

Bone Microarchitecture Phenotypes Identified in Older Adults Are Associated With Different Levels of Osteoporotic Fracture Risk.

Danielle E Whittier, Elizabeth J Samelson, Marian T Hannan, Lauren A Burt, David A Hanley, Emmanuel Biver, Pawel Szulc, Elisabeth Sornay-Rendu, Blandine Merle, Roland Chapurlat and 8 more

Abstract read
In one paragraph

Article in Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. HR-pQCT skeletal phenotype clustering associated with muscle function in older men and women: The Study of Muscle, Mobility and Aging (SOMMA).Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
    Article
  5. Review
  6. Review
  7. Screening for Osteoporosis in Nonagenarians: A Scoping Review.Journal of the American Geriatrics Society · 2025
    Article
  8. Review
  9. Emerging applications of feature selection in osteoporosis research: from biomarker discovery to clinical decision support.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2025
    Review
  10. The association between physical activity during growth and bone microarchitecture at peak bone mass.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2025
    Article
  11. Femoral neck width is associated with unique trajectories of age-related hip structural changes and fracture risk within populations of adult women and men.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2025
    Article
  12. Choose your mother wisely: the familial resemblance of bone adaptation.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
    Article
  13. Article
  14. Role and mechanism of Integrin α5β1 in bone formation and disease.Frontiers in cell and developmental biology · 2025
    Review
  15. Article
  16. Article
  17. Development of a semi-anthropomorphic photoacoustic calcaneus phantom based on nano computed tomography and stereolithography 3D printing.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2024
    Article
  18. Article
  19. 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

18 authors.

Danielle E WhittierMcCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Elizabeth J SamelsonHinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Boston, MA, USA.ORCID 0000-0003-1086-1560
Marian T HannanHinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Boston, MA, USA.ORCID 0000-0002-9586-6928
Lauren A BurtMcCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, Canada.ORCID 0000-0002-0348-5643
David A HanleyMcCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Emmanuel BiverDivision of Bone Diseases, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID 0000-0001-6174-1951
Pawel SzulcINSERM UMR1033, Université de Lyon, Hôpital Edouard Herriot, Lyon, France.ORCID 0000-0003-4168-6697
Elisabeth Sornay-RenduINSERM UMR1033, Université de Lyon, Hôpital Edouard Herriot, Lyon, France.ORCID 0000-0002-2573-5316
Blandine MerleINSERM UMR1033, Université de Lyon, Hôpital Edouard Herriot, Lyon, France.
Roland ChapurlatINSERM UMR1033, Université de Lyon, Hôpital Edouard Herriot, Lyon, France.ORCID 0000-0001-8214-6385
Eric LespessaillesRegional Hospital of Orleans, PRIMMO, Orleans, France.
Andy Kin On WongJoint Department of Medical Imaging, University Health Network, Toronto, Canada.
David GoltzmanDepartment of Medicine, McGill University and McGill University Health Centre, Quebec, Canada.ORCID 0000-0003-3421-7147
Sundeep KhoslaKogod Center on Aging and Division of Endocrinology, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-2936-4372
Serge FerrariDivision of Bone Diseases, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-1372-4417
Mary L BouxseinCenter for Advanced Orthopedic Studies, BIDMC, Boston, MA, USA.ORCID 0000-0002-7027-7414
Douglas P KielHinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Boston, MA, USA.ORCID 0000-0001-8474-0310
Steven K BoydMcCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, Canada.ORCID 0000-0002-2930-5997

Funding

EPIDEMIOLOGY OF AGE-RELATED BONE LOSS, &FRACTURESR01AR027065 · NIAMS · MAYO CLINIC ROCHESTER · PI AMIN, SHREYASEE, KHOSLA, SUNDEEP · 1986 to 2020
$14.9M
The Gut Microbiome and Bone MicroarchitectureR01AR061445 · NIAMS · HEBREW REHABILITATION CENTER FOR AGED · PI KIEL, DOUGLAS P. · 2012 to 2021
$8.9M
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
CIHR 364554NHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01-HC-25195NIAMS NIH HHS AR027065NIAMS NIH HHS R01 AR027065NIAMS NIH HHS R01 AR061445NIAMS NIH HHS R01AR061445
6 · The paper itself

Abstract

Prevalence of osteoporosis is more than 50% in older adults, yet current clinical methods for diagnosis that rely on areal bone mineral density (aBMD) fail to detect most individuals who have a fragility fracture. Bone fragility can manifest in different forms, and a "one-size-fits-all" approach to diagnosis and management of osteoporosis may not be suitable. High-resolution peripheral quantitative computed tomography (HR-pQCT) provides additive information by capturing information about volumetric density and microarchitecture, but interpretation is challenging because of the complex interactions between the numerous properties measured. In this study, we propose that there are common combinations of bone properties, referred to as phenotypes, that are predisposed to different levels of fracture risk. Using HR-pQCT data from a multinational cohort (n = 5873, 71% female) between 40 and 96 years of age, we employed fuzzy c-means clustering, an unsupervised machine-learning method, to identify phenotypes of bone microarchitecture. Three clusters were identified, and using partial correlation analysis of HR-pQCT parameters, we characterized the clusters as low density, low volume, and healthy bone phenotypes. Most males were associated with the healthy bone phenotype, whereas females were more often associated with the low volume or low density bone phenotypes. Each phenotype had a significantly different cumulative hazard of major osteoporotic fracture (MOF) and of any incident osteoporotic fracture (p < 0.05). After adjustment for covariates (cohort, sex, and age), the low density followed by the low volume phenotype had the highest association with MOF (hazard ratio = 2.96 and 2.35, respectively), and significant associations were maintained when additionally adjusted for femoral neck aBMD (hazard ratio = 1.69 and 1.90, respectively). Further, within each phenotype, different imaging biomarkers of fracture were identified. These findings suggest that osteoporotic fracture risk is associated with bone phenotypes that capture key features of bone deterioration that are not distinguishable by aBMD. © 2021 American Society for Bone and Mineral Research (ASBMR).

Indexed as

OsteoporosisOsteoporotic FracturesAbsorptiometry, PhotonAgedBone and BonesBone DensityFemaleHumansMalePhenotypeBONEFRACTURE RISKHIGH-RESOLUTION PERIPHERAL COMPUTED TOMOGRAPHYMACHINE LEARNINGOSTEOPOROSISPHENOTYPE

Identifiers

PMID34953074
PMCPMC9249128

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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.