Evidence map›Paper›PMID 35748609›Full record

ArticleJournal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research2022

Quantitating Age-Related BMD Textural Variation from DXA Region-Free-Analysis: A Study of Hip Fracture Prediction in Three Cohorts.

Mohsen Farzi, Jose M Pozo, Eugene McCloskey, Richard Eastell, Nicholas C Harvey, Alejandro F Frangi, Jeremy Mark Wilkinson

Open access · hybridAbstract read
In one paragraph

Article in Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 36% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Predictive value of BMD for hip and other fractures: a meta-analysis to update FRAX.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
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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

7 authors at 3 institutions in 2 countries.

Mohsen FarziDepartment of Oncology and Metabolism, The University of Sheffield, Sheffield, UK.ORCID 0000-0003-4663-2110
Jose M PozoCentre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), The University of Leeds, Leeds, UK.
Eugene McCloskeyDepartment of Oncology and Metabolism, The University of Sheffield, Sheffield, UK.ORCID 0000-0003-0177-8140
Richard EastellDepartment of Oncology and Metabolism, The University of Sheffield, Sheffield, UK.ORCID 0000-0002-0323-3366
Nicholas C HarveyThe MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK.ORCID 0000-0002-8194-2512
Alejandro F FrangiCentre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), The University of Leeds, Leeds, UK.ORCID 0000-0002-2675-528X
Jeremy Mark WilkinsonDepartment of Oncology and Metabolism, The University of Sheffield, Sheffield, UK.ORCID 0000-0001-5577-3674
Arthritis UK · GBUniversity of Leeds · GBUniversity Hospital Southampton NHS Foundation Trust · GB

Funding

Arthritis Research UKMedical Research Council MC_PC_21003Medical Research Council MC_PC_21022Medical Research Council MRC/G9518113Medical Research Council MR/P020941/1
6 · The paper itself

Abstract

The risk of osteoporotic fracture is inversely related to bone mineral density (BMD), but how spatial BMD pattern influences fracture risk remains incompletely understood. This study used a pixel-level spatiotemporal atlas of proximal femoral BMD in 13,338 white European women (age 20-97 years) to quantitate age-related texture variation in BMD maps and generate a "reference" map of bone aging. We introduce a new index, called Densitometric Bone Age (DBA), as the age at which an individual site-specific BMD map (the proximal femur is studied here) best matches the median aging trajectory at that site in terms of the root mean squared error (RMSE). The ability of DBA to predict incident hip fracture and hip fracture pattern over 5 years following baseline BMD was compared against conventional region-based BMD analysis in a subset of 11,899 women (age 45-97 years), for which follow-up fracture records exist. There were 208 subsequent incident hip fractures in the study populations (138 femoral necks [FNs], 52 trochanteric [TR], 18 sites unspecified). DBA had modestly better performance compared to the conventional FN-BMD, TR-BMD, and total hip (TOT)-BMD in identifying hip fractures measured as the area under the curve (AUC) using receiver operating characteristics (ROC) curve analysis by 2% (95% confidence interval [CI], -0.5% to 3.5%), 3% (95% CI, 1.0% to 4.0%), and 1% (95% CI, 0.4% to 1.6%), respectively. Compared to FN-BMD T-score, DBA improved the ROC-AUC for predicting TR fractures by ~5% (95% CI, 1.1% to 9.8%) with similar performance in identifying FN fractures. Compared to TR-BMD T-score, DBA improved the ROC-AUC for the prediction of FN fractures by ~3% (95% CI, 1.1% to 4.9%), with similar performance in identifying TR fractures. Our findings suggest that DBA may provide a spatially sensitive measure of proximal femoral fragility that is not captured by FN-BMD or TR-BMD alone. © 2022 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).

Indexed as

Hip FracturesOsteoporotic FracturesAbsorptiometry, PhotonAdultAgedAged, 80 and overBone DensityFemaleFemur NeckHumansMiddle AgedYoung AdultAGINGBMDDXAHIP FRACTURESOSTEOPOROSIS

Identifiers

PMID35748609
PMCPMC9541700
OpenAlexW4283452529

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.