Evidence map›Paper›PMID 36939937›Full record

ArticleArchives of osteoporosis2023

Ireland DXA-FRAX may differ significantly and substantially to Web-FRAX.

Lan Yang, Mary Dempsey, Attracta Brennan, Bryan Whelan, E Erjiang, Tingyan Wang, Rebecca Egan, Kelly Gorham, Fiona Heaney, Catherine Armstrong and 5 more

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Article in Archives of osteoporosis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

Lan YangInsight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, IDA Business Park, Lower Dangan, Galway, H91 AEX4, Ireland. lan.yang@universityofgalway.ie.
Mary DempseySchool of Engineering, College of Science and Engineering, University of Galway, Galway, Ireland.
Attracta BrennanSchool of Computer Science, College of Science and Engineering, University of Galway, Galway, Ireland.
Bryan WhelanSchool of Medicine, College of Medicine, Nursing and Health Sciences, University of Galway, Galway, Ireland.
E ErjiangSchool of Management, Guangxi Minzu University, Nanning, China.
Tingyan WangNuffield Department of Medicine, University of Oxford, Oxford, UK.
Rebecca EganDepartment of Rheumatology, Galway University Hospitals, Galway, Ireland.
Kelly GorhamDepartment of Rheumatology, Galway University Hospitals, Galway, Ireland.
Fiona HeaneyDepartment of Rheumatology, Galway University Hospitals, Galway, Ireland.
Catherine ArmstrongDepartment of Rheumatology, Galway University Hospitals, Galway, Ireland.
Guadalupe Morote IbarrolaDepartment of Rheumatology, Galway University Hospitals, Galway, Ireland.
Amina GselDepartment of Rheumatology, Galway University Hospitals, Galway, Ireland.
Ming YuDepartment of Industrial Engineering, Tsinghua University, Beijing, China.
John J CareySchool of Medicine, College of Medicine, Nursing and Health Sciences, University of Galway, Galway, Ireland.
DXA MAP Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Appropriate use of FRAX reduces the number of people requiring DXA scans, while contemporaneously determining those most at risk. We compared the results of FRAX with and without inclusion of BMD. It suggests clinicians to carefully consider the importance of BMD inclusion in fracture risk estimation or interpretation in individual patients. PURPOSE: FRAX is a widely accepted tool to estimate the 10-year risk of hip and major osteoporotic fracture in adults. Prior calibration studies suggest this works similarly with or without the inclusion of bone mineral density (BMD). The purpose of the study is to compare within-subject differences between FRAX estimations derived using DXA and Web software with and without the inclusion of BMD.

methodA convenience cohort was used for this cross-sectional study, consisting of 1254 men and women aged between 40 and 90 years who had a DXA scan and complete validated data available for analysis. FRAX 10-year estimations for hip and major osteoporotic fracture were calculated using DXA software (DXA-FRAX) and the Web tool (Web-FRAX), with and without BMD. Agreements between estimates within each individual subject were examined using Bland-Altman plots. We performed exploratory analyses of the characteristics of those with very discordant results.

resultsOverall median DXA-FRAX and Web-FRAX 10-year hip and major osteoporotic fracture risk estimations which include BMD are very similar: 2.9% vs. 2.8% and 11.0% vs. 11% respectively. However, both are significantly lower than those obtained without BMD: 4.9% and 14% respectively, P < 0.001. Within-subject differences between hip fracture estimates with and without BMD were < 3% in 57% of cases, between 3 and 6% in 19% of cases, and > 6% in 24% of cases, while for major osteoporotic fractures such differences are < 10% in 82% of cases, between 10 and 20% in 15% of cases, and > 20% in 3% of cases.

conclusionsAlthough there is excellent agreement between the Web-FRAX and DXA-FRAX tools when BMD is incorporated, sometimes there are very large differences for individuals between results obtained with and without BMD. Clinicians should carefully consider the importance of BMD inclusion in FRAX estimations when assessing individual patients.

Indexed as

Osteoporotic FracturesAbsorptiometry, PhotonAdultAgedAged, 80 and overBone DensityCross-Sectional StudiesFemaleHumansIrelandMaleMiddle AgedRisk AssessmentRisk FactorsBone Mineral DensityFracture RiskFRAXOsteoporosis

Identifiers

PMID36939937
PMCPMC10027809

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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.