Evidence map›Paper›PMID 30317448›Full record

ReviewCurrent rheumatology reports2018

Opportunistic Screening for Osteoporosis Using Computed Tomography: State of the Art and Argument for Paradigm Shift.

Leon Lenchik, Ashley A Weaver, Robert J Ward, John M Boone, Robert D Boutin

Open access · greenAbstract readReview
In one paragraph

Review in Current rheumatology reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 5 pooled it
4.2field-weighted citation impact, top 6% 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

62 citing papers in PubMed, 5 syntheses or guidelines pooled it, 88 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Guideline
  5. Guideline
  6. Trial
  7. Article
  8. Review
  9. Article
  10. Preventing fragility fractures: AI-based opportunistic osteoporosis detection in routine CT ​.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
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Optimizing region of interest size and placement for clinical opportunistic CT trabecular bone Hounsfield unit measurements.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

2 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 1 country.

Leon LenchikWake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA. llenchik@wakehealth.edu.
Ashley A WeaverWake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA.
Robert J WardTufts University School of Medicine, 800 Washington Street, Boston, MA, 02111, USA.
John M BooneUniversity of California Davis Medical Center, 4860 Y Street, Suite 3100, Sacramento, CA, 95817, USA.
Robert D BoutinUniversity of California Davis School of Medicine, 4860 Y Street, Suite 3100, Sacramento, CA, 95817, USA.
Wake Forest University · USTufts University · USUniversity of California, Davis · USUniversity of California Davis Medical Center · US

Funding

Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LEON LENCHIK · 2002 to 2026
$36.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
NCATS NIH HHS UL1 TR001420NIA NIH HHS P30 AG021332
6 · The paper itself

Abstract

purpose of reviewOsteoporosis is disproportionately common in rheumatology patients. For the past three decades, the diagnosis of osteoporosis has benefited from well-established practice guidelines that emphasized the use of dual x-ray absorptiometry (DXA). Despite these guidelines and the wide availability of DXA, approximately two thirds of eligible patients do not undergo testing. One strategy to improve osteoporosis testing is to employ computed tomography (CT) examinations obtained as part of routine patient care to "opportunistically" screen for osteoporosis, without additional cost or radiation exposure to patients. This review examines the role of opportunistic CT in the evaluation of osteoporosis. RECENT

findingsRecent evidence suggests that opportunistic measurement of bone attenuation (radiodensity) using CT has sensitivity comparable to DXA. More importantly, such an approach has been shown to predict osteoporotic fractures. The paradigm shift of using CTs obtained for other reasons to opportunistically screen for osteoporosis promises to substantially improve patient care.

Indexed as

Bone DensityHumansMass ScreeningOsteoporosisTomography, X-Ray ComputedComputed tomographyFractureOpportunistic screeningOsteoporosis

Identifiers

PMID30317448
PMCPMC7092507
OpenAlexW2897194281

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.