Evidence map›Paper›PMID 28815485›Full record

ArticleJournal of general internal medicine2017

Screening for Osteoporosis in Older Men: Operating Characteristics of Proposed Strategies for Selecting Men for BMD Testing.

Susan J Diem, Katherine W Peters, Margaret L Gourlay, John T Schousboe, Brent C Taylor, Eric S Orwoll, Jane A Cauley, Lisa Langsetmo, Carolyn J Crandall, Kristine E Ensrud and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. A comprehensive evaluation of seven osteoporosis screening tools.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Review
  3. The Osteoporotic Fractures in Men study (MrOS): a 25-yr landmark study of skeletal health in older men.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Management of Osteoporosis in Men: A Narrative Review.International journal of molecular sciences · 2021
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Evaluating a Veterans Affairs Home-Based Primary Care Population for Patients at High Risk of Osteoporosis.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2019
    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

11 authors at 9 institutions in 1 country.

Susan J DiemDepartment of Medicine, University of Minnesota, Minneapolis, MN, USA. sdiem@umn.edu.
Katherine W PetersCalifornia Pacific Medical Center Research Institute, San Francisco, CA, USA.
Margaret L GourlayDepartment of Family Medicine, University of North Carolina, Chapel Hill, NC, USA.
John T SchousboePark Nicollet Clinic & HealthPartners Institute, Minneapolis, MN, USA.
Brent C TaylorDepartment of Medicine, University of Minnesota, Minneapolis, MN, USA.
Eric S OrwollBone and Mineral Unit, Oregon Health & Science University, Portland, OR, USA.
Jane A CauleyDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
Lisa LangsetmoDivision of Epidemiology & Community Health, University of Minnesota, Minneapolis, MN, USA.
Carolyn J CrandallDepartment of Medicine, University of California, Los Angeles, CA, USA.
Kristine E EnsrudDepartment of Medicine, University of Minnesota, Minneapolis, MN, USA.
Osteoporotic Fractures in Men Research Group
University of Minnesota · USCalifornia Pacific Medical Center · USHealthPartners · USMinneapolis VA Health Care System · USOregon Health & Science University · USUniversity of California, Los Angeles · USUniversity of Minnesota System · USUniversity of North Carolina at Chapel Hill · USUniversity of Pittsburgh · US

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI NICHOLAS Joseph SCHORK · 2004 to 2026
$102.6M
Oregon Clinical and Translational Research Institute - The National COVID Cohort Collaborative (N3C)UL1TR002369 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Cynthia D Morris, Christopher G. Slatore · 2017 to 2026
$78.4M
Study of Osteoporotic FracturesR01AG005407 · NIA · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI CUMMINGS, STEVEN RON, YAFFE, KRISTINE · 1986 to 2016
$23.2M
Osteoporotic Fractures in Men (MrOS) - San Francisco Coordinating CenterU01AR066160 · NIAMS · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · PI CUMMINGS, STEVEN RON · 2013 to 2017
$9.3M
Osteoporotic Fractures in Men (MrOS) - MinneapolisU01AG042145 · NIA · UNIVERSITY OF MINNESOTA · PI ENSRUD, KRISTINE · 2013 to 2019
$5.3M
Osteporotic Fractures in Men (MrOS)- Admin CenterU01AG027810 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI ORWOLL, ERIC S. · 2006 to 2017
$5.1M
Osteoporotic Fractures in Men (MrOS) - PortlandU01AG042124 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI ORWOLL, ERIC S. · 2013 to 2019
$3.0M
Osteoporatic Fractures in Men (MrOS)U01AG042168 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KADO, DEBORAH · 2013 to 2017
$3.0M
Osteoporotic Fractures in Men (Mr. Os) Palo AltoU01AG042143 · NIA · STANFORD UNIVERSITY · PI STEFANICK, MARCIA L. · 2013 to 2017
$3.0M
Osteoporotic Fractures in Men (Mr.OS)U01AG042139 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CAULEY, JANE ANN · 2013 to 2017
$2.9M
Osteoporotic Fractures in Men_MrOS Renewal_BirminghamU01AG042140 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SHIKANY, JAMES M · 2013 to 2019
$2.7M
NCATS NIH HHS UL1 TR002369NIAMS NIH HHS U01 AR066160NIA NIH HHS R01 AG005407NIA NIH HHS U01 AG027810NIA NIH HHS U01 AG042124NIA NIH HHS U01 AG042139NIA NIH HHS U01 AG042140NIA NIH HHS U01 AG042145NIA NIH HHS U01 AG042168NIA NIH HHS U19 AG023122
6 · The paper itself

Abstract

backgroundThe optimal approach for selecting men for bone mineral density (BMD) testing to screen for osteoporosis is uncertain.

objectiveTo compare strategies for selecting older men for screening BMD testing.

designProspective cohort study.

participantsA total of 4043 community-dwelling men aged ≥70 years at four US sites. MAIN MEASURES: BMD at the total hip, femoral neck, and lumbar spine using dual-energy x-ray absorptiometry (DXA). Sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio, and area under the receiver operating curve (AUC) of the Osteoporosis Self-Assessment Tool (OST) and Fracture Risk Assessment Tool (FRAX) without BMD to discriminate between those with and without osteoporosis as defined by World Health Organization (WHO) diagnostic criteria, and between those recommended and not recommended for pharmacologic therapy based on the National Osteoporosis Foundation (NOF) guidelines. KEY

resultsAmong the cohort, 216 (5.3%) had a BMD T-score ≤ -2.5 at the femoral neck, total hip, or lumbar spine, and 1184 (29.2%) met criteria for consideration of pharmacologic therapy according to NOF guidelines. The OST had better discrimination (AUC 0.68) than the FRAX (AUC 0.62; p = 0.004) for identifying T-score-defined osteoporosis. Use of an OST threshold of <2 resulted in sensitivity of 0.83 and specificity of 0.36 for the identification of osteoporosis, compared to sensitivity of 0.59 and specificity of 0.59 for the use of FRAX with a cutoff of 9.3% 10-year risk of major osteoporotic fracture.

conclusionsThe OST performs modestly better than the more complex FRAX in selecting older men for BMD testing to screen for osteoporosis; the use of either tool substantially reduces the proportion of men referred for BMD testing compared to universal screening. Of 1000 men aged 70 and older in this community-based cohort, the use of an OST cutoff of <2 to select men for BMD testing would result in 654 men referred for BMD testing, of whom 44 would be identified as having osteoporosis, and nine with osteoporosis would be missed.

Indexed as

ROC CurveAgedAged, 80 and overBone DensityCohort StudiesHumansMaleMass ScreeningOsteoporosisProspective StudiesRisk Factors

Identifiers

PMID28815485
PMCPMC5653561
OpenAlexW2747226430

What OpenQuestion 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 OpenQuestion graph.