Evidence map›Paper›PMID 24582085›Full record

ArticleJournal of clinical densitometry : the official journal of the International Society for Clinical Densitometry

Prediction models of prevalent radiographic vertebral fractures among older women.

John T Schousboe, Harold R Rosen, Tamara J Vokes, Jane A Cauley, Steven R Cummings, Michael Nevitt, Dennis M Black, Eric S Orwoll, Deborah M Kado, Kristine E Ensrud and 1 more

Open access · bronzeAbstract readComparative StudyMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Vertebral fracture: clinical presentation and severity are linked to fracture risk factors.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2020
    Observational
  6. Determinants of trabecular bone score and prevalent vertebral fractures in women with fragility fractures: a cross-sectional sub-study of NoFRACT.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2020
    Article
  7. Review
  8. Spinal radiographs in those with back pain-when are they appropriate to diagnose vertebral fractures?Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2017
    Review
  9. Simplified criteria for selecting patients for vertebral fracture assessment.Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry
    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.

John T SchousboePark Nicollet Osteoporosis Center and Institute for Research and Education, Minneapolis, MN, USA and Division of Health Policy and Management, University of Minnesota, Minneapolis, MN, USA. Electronic address: john.schousboe@parknicollet.com.
Harold R RosenBeth Israel Deaconess Medical Center, Boston, MA, USA.
Tamara J VokesDepartment of Medicine, University of Chicago, Chicago, IL, USA.
Jane A CauleyDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Steven R CummingsSan Francisco Coordinating Center, California Pacific Medical Center, San Francisco, CA, USA.
Michael NevittDivision of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA.
Dennis M BlackDivision of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA.
Eric S OrwollBone and Mineral Unit, Oregon Health and Science University, Portland, OR, USA.
Deborah M KadoDepartments of Family and Preventive Medicine and Internal Medicine, University of California at San Diego, San Diego, CA, USA.
Kristine E EnsrudDivision of Epidemiology, University of Minnesota, Minneapolis, MN, USA and Minneapolis Veterans Administration Medical Center, Minneapolis, MN, USA.
Study of Osteoporotic Fractures Research Group
University of California, San Francisco · USBeth Israel Deaconess Medical Center · USCalifornia Pacific Medical Center · USOregon Health & Science University · USPark Nicollet Health Services · USUniversity of California San Diego · USUniversity of Chicago · USUniversity of Minnesota · USUniversity of Pittsburgh · US

Funding

Study of Osteoporotic FracturesR01AG005407 · NIA · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI CUMMINGS, STEVEN RON, YAFFE, KRISTINE · 1986 to 2016
$23.2M
Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
Study of Osteoporotic FracturesR01AG005394 · NIA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ENSRUD, KRISTINE · 1986 to 2015
$6.1M
STUDY OF OSTEOPOROTIC FRACTURES: VERTEBRAL FRACTURESR01AR035583 · NIAMS · KAISER FOUNDATION RESEARCH INSTITUTE · PI HILLIER, TERESA A · 1986 to 2005
$3.2M
Study of Osteoporotic Fractures (SOF)R01AG027574 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI HILLIER, TERESA A · 2006 to 2015
$2.6M
Study of Osteoporotic Fractures (SOF)-Pittsburgh ClinicR01AG027576 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CAULEY, JANE ANN · 2006 to 2015
$2.4M
Study of Osteoporotic FracturesR01AR035582 · NIAMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CAULEY, JANE · 1986 to 2005
$2.4M
Study of Osteoporotic FracturesR01AR035584 · NIAMS · UNIVERSITY OF MARYLAND BALTIMORE · PI HOCHBERG, MARC C. · 1986 to 2005
$2.1M
NCATS NIH HHS UL1 TR000430NIAMS NIH HHS R01 AR005394NIAMS NIH HHS R01 AR035582NIAMS NIH HHS R01 AR035583NIAMS NIH HHS R01 AR035584NIAMS NIH HHS R01 AR35582NIAMS NIH HHS R01 AR35583NIAMS NIH HHS R01 AR35584NIA NIH HHS R01 AG005394NIA NIH HHS R01 AG005407NIA NIH HHS R01 AG027574NIA NIH HHS R01 AG027576
6 · The paper itself

Abstract

It is unknown how well prediction models incorporating multiple risk factors identify women with radiographic prevalent vertebral fracture (PVFx) compared with simpler models and what their value might be in clinical practice to select older women for lateral spine imaging. We compared 4 regression models for predicting PVFx in women aged 68 y and older enrolled in the Study of Osteoporotic Fractures with a femoral neck T-score ≤ -1.0, using area under receiving operator characteristic curves (AUROC) and a net reclassification index. The AUROC for a model with age, femoral neck bone mineral density, historical height loss (HHL), prior nonspine fracture, body mass index, back pain, and grip strength was only minimally better than that of a more parsimonious model with age, femoral neck bone mineral density, and historical height loss (AUROC 0.689 vs 0.679, p values for difference in 5 bootstrapped samples <0.001-0.35). The prevalence of PVFx among this older population of Caucasian women remained more than 20% even when women with low probability of PVFx, as estimated by the prediction models, were included in the screened population. These results suggest that lateral spine imaging is appropriate to consider for all Caucasian women aged 70 y and older with low bone mass to identify those with PVFx.

Indexed as

Absorptiometry, PhotonAgedAged, 80 and overFemaleHumansModels, StatisticalOsteoporosis, PostmenopausalPredictive Value of TestsRisk FactorsSpinal FracturesBone densitometrymodel discriminationprediction modelsprevalent vertebral fracturevertebral fracture assessment

Identifiers

PMID24582085
PMCPMC4119570
OpenAlexW2047793510

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.