Evidence map›Paper›PMID 25489572›Full record

ArticleJournal of bone metabolism2014

Assessing bone quality in terms of bone mineral density, buckling ratio and critical fracture load.

D Anitha, Taeyong Lee

Abstract read
In one paragraph

Article in Journal of bone metabolism, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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.

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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

2 authors.

D AnithaDepartment of Biomedical Engineering, National University of Singapore, Singapore.
Taeyong LeeDepartment of Medical Biotechnology, Dongguk University, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBone mineral density (BMD) is used as a sole parameter in the diagnosis of osteoporosis. Due to the ease of acquirement of BMD, clinical diagnosis still involves its usage although the limitations of BMD are quite well-established. Therefore, this preliminary study hoped to reduce the errors introduced by BMD alone by incorporating geometric and structural predictors simultaneously to observe if strength was implicitly dependent on the geometry and BMD. Hence, we illustrated the triadic relationship between BMD, buckling ratio (BR) and critical fracture load (Fcr).

methodsThe geometric predictor was the BR as it involves both the changes in the periosteum and the cortical thickness. Also, structural changes were monitored by finite element (FE) analysis-predicted Fcr. These BR and Fcr measurements were plotted with their respective femoral neck BMD values in elderly female patients (n=6) in a 3-year follow-up study, treated with ibandronate.

resultsIn all the three-dimensional plots (baseline, mid and final year), high Fcr values were found at regions containing high BMD and low BR values. Quantitatively, this was also proven where an averaged highest Fcr across the three years had a relatively higher BMD (46%) and lower BR (19%) than that of the averaged lowest Fcr. The dependence of FE predicted strength on both the geometry and bone density was illustrated.

conclusionsWe conclude that use of triadic relationships for the evaluation of osteoporosis and hip fractures with the combination of strength, radiology-derived BR and bone density will lay the foundation for more accurate predictions in the future.

Indexed as

Bone densityFemur neckFinite element analysisOsteoporotic fractures

Identifiers

PMID25489572
PMCPMC4255044

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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.