Evidence map›Paper›PMID 32748310›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2021

Bone density and strength from thoracic and lumbar CT scans both predict incident vertebral fractures independently of fracture location.

F Johannesdottir, B Allaire, D L Kopperdahl, T M Keaveny, S Sigurdsson, M A Bredella, D E Anderson, E J Samelson, D P Kiel, V G Gudnason and 1 more

Open access · greenAbstract read
In one paragraph

Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
6.5field-weighted citation impact, top 2% 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. CT image-based biomarkers for opportunistic screening of osteoporotic fractures: a systematic review and meta-analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024
    Pooled it
  3. Review
  4. QCT-based geometric, densitometric, and biomechanical properties of the aging human thoracolumbar spine.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
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  10. Conventional chest computed tomography-based radiomics for predicting the risk of thoracolumbar osteoporotic 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 · 2025
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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 6 institutions in 2 countries.

F JohannesdottirCenter for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, RN115, 330 Brookline Avenue, Boston, MA, 02215, USA. fjohanne@bidmc.harvard.edu.ORCID https://orcid.org/0000-0003-3054-9152
B AllaireCenter for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, RN115, 330 Brookline Avenue, Boston, MA, 02215, USA.ORCID https://orcid.org/0000-0002-7165-3346
D L KopperdahlO.N. Diagnostics LLC, Berkeley, CA, USA.
T M KeavenyDepartment of Mechanical Engineering, University of California, Berkeley, CA, USA.ORCID https://orcid.org/0000-0003-0258-7178
S SigurdssonIcelandic Heart Association, Kopavogur, Iceland.
M A BredellaHarvard Medical School, Boston, MA, USA.ORCID https://orcid.org/0000-0001-5482-0440
D E AndersonCenter for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, RN115, 330 Brookline Avenue, Boston, MA, 02215, USA.ORCID https://orcid.org/0000-0002-5171-7445
E J SamelsonHarvard Medical School, Boston, MA, USA.ORCID https://orcid.org/0000-0003-1086-1560
D P KielHarvard Medical School, Boston, MA, USA.ORCID https://orcid.org/0000-0001-8474-0310
V G GudnasonIcelandic Heart Association, Kopavogur, Iceland.ORCID https://orcid.org/0000-0001-5696-0084
M L BouxseinCenter for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center, RN115, 330 Brookline Avenue, Boston, MA, 02215, USA.ORCID https://orcid.org/0000-0002-7027-7414
Beth Israel Deaconess Medical Center · USHarvard University · USIcelandic Heart Association · ISO.N. Diagnostics (United States) · USUniversity of California, Berkeley · USUniversity of Iceland · IS

Funding

Biomechanics of Vertebral Fracture: The Framingham QCT StudyR01AR053986 · NIAMS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI BOUXSEIN, MARY L · 2007 to 2016
$5.4M
Influence of Spinal Loading on Vertebral FractureR01AR073019 · NIAMS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI BOUXSEIN, MARY L, SNYDER, BRIAN D · 2018 to 2022
$2.8M
Clinical Validation of BCT - Phase IIR44AR052234 · NIAMS · O. N. DIAGNOSTICS, LLC · PI KOPPERDAHL, DAVID · 2009 to 2010
$758k
AGES STUDY-THE REYKJAVIK STUDY OF HEALTHY AGING FOR THE NEW MILLENNIUM-26012100N01AG012100 · NIA · ICELANDIC HEART ASSOCIATION · 2002 to 2004
–
NIAMS NIH HHS R01 AR053986NIAMS NIH HHS R01 AR073019NIAMS NIH HHS R44 AR052234NIA NIH HHS N01 AG012100NIH HHS N01-AG-1-2100NIH HHS R01 AR053986NIH HHS R44 AR052234
6 · The paper itself

Abstract

In a population-based study, we found that computed tomography (CT)-based bone density and strength measures from the thoracic spine predicted new vertebral fracture as well as measures from the lumbar spine, suggesting that CT scans at either the thorax or abdominal regions are useful to assess vertebral fracture risk.

introductionPrior studies have shown that computed tomography (CT)-based lumbar bone density and strength measurements predict incident vertebral fracture. This study investigated whether CT-based bone density and strength measurements from the thoracic spine predict incident vertebral fracture and compared the performance of thoracic and lumbar bone measurements to predict incident vertebral fracture.

methodsThis case-control study of community-based men and women (age 74.6 ± 6.6) included 135 cases with incident vertebral fracture at any level and 266 age- and sex-matched controls. We used baseline CT scans to measure integral and trabecular volumetric bone mineral density (vBMD) and vertebral strength (via finite element analysis, FEA) at the T8 and L2 levels. Association between these measurements and vertebral fracture was determined by using conditional logistic regression. Sensitivity and specificity for predicting incident vertebral fracture were determined for lumbar spine and thoracic bone measurements.

resultsBone measurements from T8 and L2 predicted incident vertebral fracture equally well, regardless of fracture location. Specifically, for predicting vertebral fracture at any level, the odds ratio (per 1-SD decrease) for the vBMD and strength measurements at L2 and T8 ranged from 2.0 to 2.7 (p < 0.0001) and 1.8 to 2.8 (p < 0.0001), respectively. Results were similar when predicting fracture only in the thoracic versus the thoracolumbar spine. Lumbar and thoracic spine bone measurements had similar sensitivity and specificity for predicting incident vertebral fracture.

conclusionThese findings indicated that like those from the lumbar spine, CT-based bone density and strength measurements from the thoracic spine may be useful for identifying individuals at high risk for vertebral fracture.

Indexed as

Bone DensitySpinal FracturesAgedAged, 80 and overCase-Control StudiesFemaleHumansLumbar VertebraeMaleTomography, X-Ray ComputedFinite element analysisFracture predictionOsteoporosisQCTVertebral fracture

Identifiers

PMID32748310
PMCPMC8265597
OpenAlexW3047396934

What OpenQuestion holds

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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.