Evidence map›Paper›PMID 32088857›Full record

ReviewCurrent osteoporosis reports2020

In Vivo Assessment of Cortical Bone Fragility.

Lyn Bowman, Anne B Loucks

Open access · hybridAbstract readReview
In one paragraph

Review in Current osteoporosis reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.4field-weighted citation impact, top 45% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. In vivo mechanical assessment of cortical bone rigidity enhances fracture discrimination beyond DXA in postmenopausal women.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
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  8. 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

2 authors at 1 institution in 1 country.

Lyn BowmanDepartment of Biological Sciences and the Ohio Musculoskeletal and Neurological Institute, Ohio University, Athens, OH, 45701, USA.
Anne B LoucksDepartment of Biological Sciences and the Ohio Musculoskeletal and Neurological Institute, Ohio University, Athens, OH, 45701, USA. loucks@ohio.edu.
Ohio University · US

Funding

Development and validation of a novel non-invasive device for measuring the mechanical properties of cortical boneR43AG058312 · NIA · OSTEODX INC. · PI CLARK, BRIAN C, DICK, ANDREW · 2018 to 2018
$477k
NIA NIH HHS R43 AG058312
6 · The paper itself

Abstract

purpose of reviewThis review updates readers on recent developments in the assessment of cortical bone fragility in vivo. The review explains the clinical need that motivated the development of Cortical Bone Mechanics Technology™ (CBMT) as a scientific instrument, its unique capabilities, and its necessary further development as a medical device. RECENT

findingsClinical experience with dual-energy X-ray absorptiometry has led to calls for new clinical methods for assessing bone health. CBMT is a noninvasive, dynamic 3-point bending test that makes direct, functional measurements of the mechanical properties of cortical bone in ulnas of living people. Its technical validity in accurate measurements of ulna flexural rigidity and its clinical validity in accurate estimations of quasistatic ulna bending strength have been demonstrated. Because CBMT is a whole bone test, its measurements reflect the influences of bone quantity and bone quality at all hierarchical levels.

Indexed as

Biomechanical PhenomenaFlexural StrengthAbsorptiometry, PhotonCortical BoneHumansUlnaWeight-BearingBending testBone mechanicsBone stiffnessBone strengthCortical boneFracture

Identifiers

PMID32088857
PMCPMC7067717
OpenAlexW3007253277

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.