Evidence map›Paper›PMID 27588301›Full record

ArticleBone reports2016

Assessing the inter- and intra-animal variability of

Erin M B McNerny, Jason M Organ, Joseph M Wallace, Christopher L Newman, Drew M Brown, Matthew R Allen

Open access · goldAbstract 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 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. In Vivo Assessment of Cortical Bone Fragility.Current osteoporosis reports · 2020
    Review
  3. 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

6 authors at 2 institutions in 1 country.

Erin M B McNernyDepartment of Anatomy and Cell Biology, Indiana University School of Medicine, Indianapolis, IN, United States.
Jason M OrganDepartment of Anatomy and Cell Biology, Indiana University School of Medicine, Indianapolis, IN, United States.
Joseph M WallaceDepartment of Biomedical Engineering, Indiana University Purdue University of Indianapolis, Indianapolis, IN, United States.
Christopher L NewmanDepartment of Anatomy and Cell Biology, Indiana University School of Medicine, Indianapolis, IN, United States.
Drew M BrownDepartment of Anatomy and Cell Biology, Indiana University School of Medicine, Indianapolis, IN, United States.
Matthew R AllenDepartment of Anatomy and Cell Biology, Indiana University School of Medicine, Indianapolis, IN, United States; Department of Biomedical Engineering, Indiana University Purdue University of Indianapolis, Indianapolis, IN, United States.
Indiana University School of MedicineUniversity of Indianapolis · US

Funding

Enhancing bone strength using combination drug therapyR01AR062002 · NIAMS · INDIANA UNIVERSITY INDIANAPOLIS · PI ALLEN, MATTHEW R · 2012 to 2016
$2.4M
Assessing and improving bone quality in chronic kidney diseaseF32DK108554 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI MCNERNY, ERIN MARGARET BRONTE · 2015 to 2017
$170k
NIAMS NIH HHS R01 AR062002NIDDK NIH HHS F32 DK108554
6 · The paper itself

Abstract

The OsteoProbe is a second-generation reference point indentation (RPI) device without a reference probe that is designed to simplify RPI testing for clinical use. Successful clinical implementation of the OsteoProbe would benefit from a better understanding of how its output, bone material strength index (BMSi), relates to the material properties of bone and under what conditions it reliably correlates with fracture risk. Large animal models have the potential to help fill this knowledge gap, as cadaveric studies are retrospective and limited by incomplete patient histories (including the potential use of bone matrix altering drugs such as bisphosphonates). The goal of this study was to assess the intra and inter-animal variability of OsteoProbe measures in untreated beagle dogs (n=12), and to evaluate this variability in comparison to traditional mechanical testing. OsteoProbe measurements were performed in vivo on the left tibia of each dog and repeated 6 months later on the day of sacrifice. Within-animal variation of BMSi (CV of 5-10 indents) averaged 8.9 and 9.0% at the first and second timepoints, respectively. In contrast, inter-animal variation of BMSi increased from 5.3% to 9.1%. The group variation of BMSi was on par with that of traditional 3-point mechanical testing; inter-animal variation was 10% for ultimate force, 13% for stiffness, and 12% for total work as measured on the femur. There was no significant change in mean BMSi after 6 months, but the individual change with time across the 12 dogs was highly variable, ranging from -12.4% to +21.7% (Mean 1.6%, SD 10.6%). No significant correlations were found between in vivo tibia BMSi and femur mechanical properties measured by ex vivo 3-pt bending, but this may be a limitation of sample size or the tests being performed on different bones. No relationship was found between BMSi and tissue mineral density, but a strong positive correlation was found between BMSi and tibia cortical thickness (ρ=0.706, p=0.010). This report shows that while the OsteoProbe device has inter-individual variability quite similar to that of traditional mechanical testing, the longitudinal changes show high levels of heterogeneity across subjects. We further highlight the need for standardization in post-testing data processing and further study of the relationships between OsteoProbe and traditional mechanical testing.

Indexed as

bone mechanical propertiesbone mechanicsbone qualityindentationOsteoProbereference point indentationvariability

Identifiers

PMID27588301
PMCPMC5003524
OpenAlexW2485415657

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.