Evidence map›Paper›PMID 30779860›Full record

ArticleJournal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research2019

Cost-Effectiveness of Osteoporosis Screening Using Biomechanical Computed Tomography for Patients With a Previous Abdominal CT.

Maria Pisu, David L Kopperdahl, Cora E Lewis, Kenneth G Saag, Tony M Keaveny

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, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Improved prediction of hip fracture using multi-faceted biomechanical computed tomography.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Opportunistic assessment of osteoporosis using hip and pelvic X-rays with OsteoSight™: validation of an AI-based tool in a US population.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
  10. Observational
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Biomechanical Computed Tomography analysis (BCT) for clinical assessment of osteoporosis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2020
    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

5 authors.

Maria PisuDivision of Preventive Medicine, University of Alabama Birmingham, Birmingham, AL, USA.
David L KopperdahlO.N. Diagnostics LLC, Berkeley, CA, USA.
Cora E LewisDepartment of Epidemiology, University of Alabama Birmingham, Birmingham, AL, USA.
Kenneth G SaagDivision of Clinical Immunology and Rheumatolog, University of Alabama Birmingham, Birmingham, AL, USA.
Tony M KeavenyDepartments of Mechanical Engineering and Bioengineering, University of California Berkeley, Berkeley, CA, USA.

Funding

Robust BCT for Clinical Use - Phase IIR44AR057616 · NIAMS · O. N. DIAGNOSTICS, LLC · PI KOPPERDAHL, DAVID · 2014 to 2016
$1.8M
NIAMS NIH HHS R44 AR057616
6 · The paper itself

Abstract

Osteoporosis screening rates by DXA are low (9.5% women, 1.7% men) in the US Medicare population aged 65 years and older. Addressing this care gap, we estimated the benefits of a validated osteoporosis diagnostic test suitable for patients age 65 years and older with an abdominal computed tomography (CT) scan taken for any indication but without a recent DXA. Our analysis assessed a hypothetical cohort of 1000 such patients in a given year, and followed them for 5 years. Separately for each sex, we used Markov modeling to compare two mutually exclusive scenarios: (i) utilizing the CT scans, perform one-time "biomechanical computed tomography" (BCT) analysis to identify high-risk patients on the basis of both femoral strength and hip BMD T-scores; (ii) ignore the CT scan, and rely instead on usual care, consisting of future annual DXA screening at typical Medicare rates. For patients with findings indicative of osteoporosis, 50% underwent 2 years of treatment with alendronate. We found that BCT provided greater clinical benefit at lower cost for both sexes than usual care. In our base case, compared to usual care, BCT prevented hip fractures over a 5-year window (3.1 per 1000 women; 1.9 per 1000 men) and increased quality-adjusted life years (2.95 per 1000 women; 1.48 per 1000 men). Efficacy and savings increased further for higher-risk patient pools, greater treatment adherence, and longer treatment duration. When the sensitivity and specificity of BCT were set to those for DXA, the prevented hip fractures versus usual care remained high (2.7 per 1000 women; 1.5 per 1000 men), indicating the importance of high screening rates on clinical efficacy. Therefore, for patients with a previously taken abdominal CT and without a recent DXA, osteoporosis screening using biomechanical computed tomography may be a cost-effective alternative to current usual care. © 2019 American Society for Bone and Mineral Research.

Indexed as

Cost-Benefit AnalysisAbdomenBiomechanical PhenomenaFemaleHip FracturesHumansMaleMass ScreeningOsteoporosisQuality-Adjusted Life YearsTomography, X-Ray ComputedTreatment OutcomeCOST EFFECTIVENESSDXAHEALTH ECONOMICSOSTEOPOROSISSCREENING

Identifiers

PMID30779860
PMCPMC6687393

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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.