Evidence map›Paper›PMID 38047269›Full record

ArticleBone reports2023

Novel approaches to correlate computerized tomography imaging of bone fracture callus to callus structural mechanics.

Yazan Kadkoy, Sangeeta Abraham, Peter Michael, Tasmima Tazin, Charlene Wetterstrand, J Patrick O'Connor

Abstract read
In one paragraph

Article in Bone reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Yazan KadkoyDepartment of Orthopaedics, Rutgers-New Jersey Medical School, Newark, United States of America.
Sangeeta AbrahamDepartment of Orthopaedics, Rutgers-New Jersey Medical School, Newark, United States of America.
Peter MichaelDepartment of Biomedical Engineering, New Jersey Institute of Technology, United States of America.
Tasmima TazinDepartment of Orthopaedics, Rutgers-New Jersey Medical School, Newark, United States of America.
Charlene WetterstrandDepartment of Orthopaedics, Rutgers-New Jersey Medical School, Newark, United States of America.
J Patrick O'ConnorDepartment of Orthopaedics, Rutgers-New Jersey Medical School, Newark, United States of America.

Funding

COX-2 Functions in Bone Fracture HealingR01AR069044 · NIAMS · RBHS-NEW JERSEY MEDICAL SCHOOL · PI O'CONNOR, J PATRICK · 2016 to 2020
$2.1M
NIAMS NIH HHS R01 AR069044
6 · The paper itself

Abstract

Estimating the mechanical properties of bone in vivo without destructive testing would be useful for research and clinical orthopedic applications. Micro-computerized tomography (μCT) imaging can provide quantitative, high-resolution 3D representations of bone morphology and is generally the basis from which bone mechanical properties are non-destructively estimated. The goal of this study was to develop metrics using qualitative and quantitative aspects of bone microarchitecture derived from μCT imaging to estimate the mechanical integrity of bone fracture calluses. Mechanical testing data (peak torque) and μCT image data from 12 rat femur fractures were collected at 4 weeks after fracture. MATLAB was used to analyze the callus μCT imaging data which were then correlated to the empirically determined peak torque of the callus. One metric correlated

Indexed as

BoneFracture callusMechanical strengthMicro-computed tomographyZ-ray

Identifiers

PMID38047269
PMCPMC10690537

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.