Evidence map›Paper›PMID 28580402›Full record

ArticleBone reports2016

Bone microstructure in men assessed by HR-pQCT: Associations with risk factors and differences between men with normal, low, and osteoporosis-range areal BMD.

Narihiro Okazaki, Andrew J Burghardt, Ko Chiba, Anne L Schafer, Sharmila Majumdar

Abstract read
In one paragraph

Article in Bone reports, 2016. 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

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. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. [Review of high-resolution peripheral quantitative computed tomography for the assessment of bone microstructure and strength].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2018
    Review
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

5 authors.

Narihiro OkazakiDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, USA.
Andrew J BurghardtDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, USA.
Ko ChibaDepartment of Orthopaedic Surgery, Nagasaki University Graduate School of Biomedical Sciences, Japan.
Anne L SchaferMedical Service, San Francisco VA Medical Center, USA.
Sharmila MajumdarDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, USA.

Funding

Bone quality by vQCT and HR-pQCT: translation to multi-center clinical researchR01AR060700 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BURGHARDT, ANDREW JOHN, LANG, THOMAS F · 2011 to 2014
$2.0M
A Multi-Disciplinary Multi-Development Core on Musculoskeletal ImagingP30AR058899 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MAJUMDAR, SHARMILA · 2009 to 2010
$955k
NIAMS NIH HHS P30 AR058899NIAMS NIH HHS R01 AR060700
6 · The paper itself

Abstract

purposeThe primary objective of this study was to analyze the relationships between bone microstructure and strength, and male osteoporosis risk factors including age, body mass index, serum 25-hydroxyvitamin D level, and testosterone level. A secondary objective was to compare microstructural and strength parameters between men with normal, low, and osteoporosis-range areal bone mineral density (aBMD).

methodsSeventy-eight healthy male volunteers (mean age 62.4 ± 7.8 years, range 50-84 years) were recruited. The participants underwent dual-energy X-ray absorptiometry (DXA) and high-resolution peripheral quantitative computed tomography (HR-pQCT) of the ultra-distal radius and tibia. From the HR-pQCT images, volumetric bone mineral density (BMD) and cortical and trabecular bone microstructure were evaluated, and bone strength and cortical load fraction (Ct.LF) were estimated using micro-finite element analysis (μFEA).

resultsAge was more strongly correlated with bone microstructure than other risk factors. Age had significant positive correlations with cortical porosity at both ultra-distal radius and tibia (

conclusionsCortical bone microstructure was negatively affected by aging, and there was a suggestion that the influence of aging may be particularly important at the weight-bearing sites.

Indexed as

AgingCortical boneCortical porosityHR-pQCTMale osteoporosis

Identifiers

PMID28580402
PMCPMC5440848

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.