Evidence map›Paper›PMID 37486625›Full record

ArticleThe British journal of radiology2023

Vertebral CT attenuation outperforms standard clinical fracture risk prediction tools in detecting osteoporotic disease in lung cancer screening participants.

Nikita Patel, Katrina Dahl, Rachael O'Rourke, Anne Williamson, Mark D Chatfield, Kwun M Fong, Ian A Yang, Henry M Marshall

Open access · hybridAbstract read
In one paragraph

Article in The British journal of radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Diagnostic performance of lumbar computed tomography Hounsfield unit thresholds for osteoporosis and osteopenia: 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 · 2026
    Review
  4. Article
  5. Observational
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

8 authors at 1 institution in 1 country.

Nikita PatelUniversity of Queensland Thoracic Research Centre, Queensland, Australia.ORCID 0000-0003-2816-7200
Katrina DahlUniversity of Queensland Thoracic Research Centre, Queensland, Australia.
Rachael O'RourkeUniversity of Queensland Thoracic Research Centre, Queensland, Australia.
Anne WilliamsonUniversity of Queensland Thoracic Research Centre, Queensland, Australia.
Mark D ChatfieldFaculty of Medicine, University of Queensland, Queensland, Australia.ORCID 0000-0002-0004-6274
Kwun M FongUniversity of Queensland Thoracic Research Centre, Queensland, Australia.ORCID 0000-0002-6507-1403
Ian A YangUniversity of Queensland Thoracic Research Centre, Queensland, Australia.ORCID 0000-0001-8338-1993
Henry M MarshallUniversity of Queensland Thoracic Research Centre, Queensland, Australia.ORCID 0000-0002-9626-8014
The University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCompare accuracy of vertebral Hounsfield Unit (VHU) attenuation and FRAX and Garvan Fracture Risk Calculators in identifying low bone mineral density (BMD) and prevalent vertebral compression fractures (VF) in lung cancer screening (LCS) participants.

methodsBaseline CT scans from a single site of the International Lung Screen Trial were analysed. BMD was measured using VHU (of the most caudally imaged vertebra) and quantitative CT (QCT) (low BMD defined as <110 HU and <120 mg/cm

results535 LCS participants were included; 41% had low VHU-BMD, 56% had low QCT-BMD and 10% had ≥1 VF with ≥25% vertebral height loss. VHU demonstrated 94% specificity and 70% sensitivity in identifying low QCT-BMD. VHU was superior to fracture risk tools in discriminating low QCT-BMD (AUC: VHU 0.94

conclusionsVHU outperforms clinical risk calculators in detecting low BMD and discriminates prevalent VF equally well as risk calculators with T-scores, yet is significantly simpler to perform. ADVANCES IN KNOWLEDGE: VHU measurement could aid osteoporosis assessment in high-risk smokers undergoing LCS.

Indexed as

Fractures, CompressionLung NeoplasmsOsteoporotic FracturesSpinal FracturesAbsorptiometry, PhotonBone DensityEarly Detection of CancerHumansSpineTomography, X-Ray Computed

Identifiers

PMID37486625
PMCPMC10607405
OpenAlexW4385186118

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.