Evidence map›Paper›PMID 22275163›Full record

ArticleJournal of biomedical materials research. Part A2012

Bone turnover markers correlate with implant fixation in a rat model using LPS-doped particles to induced implant loosening.

Shuo Liu, Amarjit S Virdi, Kotaro Sena, W Frank Hughes, Dale R Sumner

Abstract read
In one paragraph

Article in Journal of biomedical materials research. Part A, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Arthrotomy-based preclinical models of particle-induced osteolysis: A systematic review.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2017
    Pooled it
  2. Are there biological markers for wear or corrosion? A systematic review.Clinical orthopaedics and related research · 2014
    Pooled it
  3. Article
  4. The relative contribution of bone microarchitecture and matrix composition to implant fixation strength in rats.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022
    Article
  5. Article
  6. The gut microbiota may be a novel pathogenic mechanism in loosening of orthopedic implants in rats.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020
    Article
  7. Early changes in serum osteocalcin and body weight are predictive of implant fixation in a rat model of implant loosening.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Optimizing a micro-computed tomography-based surrogate measurement of bone-implant contact.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2018
    Article
  12. Article
  13. 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

5 authors at 1 institution in 1 country.

Shuo LiuDepartment of Anatomy and Cell Biology, Rush University Medical Center, Chicago, Illinois 60612, USA.
Amarjit S Virdi
Kotaro Sena
W Frank Hughes
Dale R Sumner
Rush University Medical Center · US

Funding

Development and Initial Application of a Rat Model for Revision Joint ReplacementR21AR054171 · NIAMS · RUSH UNIVERSITY MEDICAL CENTER · PI SUMNER, D. RICK · 2006 to 2007
$353k
Xray Micro Computed Tomography ScannerS10RR016631 · NCRR · RUSH UNIVERSITY MEDICAL CENTER · PI SUMNER, D. RICK · 2002 to 2002
$276k
NCRR NIH HHS S10 RR016631NIAMS NIH HHS R21 AR054171NIAMS NIH HHS R21AR054171
6 · The paper itself

Abstract

Revision surgery for particle-induced implant loosening in total joint replacement is expected to increase dramatically over the next few decades. This study was designed to investigate if local tissue and serum markers of bone remodeling reflect implant fixation following administration of lipopolysaccharide (LPS)-doped polyethylene (PE) particles in a rat model. Twenty-four rats received bilateral implantation of intramedullary titanium rods in the distal femur, followed by weekly bilateral intra-articular injection of either LPS-doped PE particles (n = 12) or vehicle that contained no particles (n = 12) for 12 weeks. The group in which the particles were injected had increased serum C-terminal telopeptide of type I collagen (CTX-I), decreased serum osteocalcin (OC), increased peri-implant eroded surface, decreased peri-implant bone volume, and decreased mechanical pull-out strength compared to the controls. Implant fixation strength was positively correlated with peri-implant bone volume and serum OC and inversely correlated with serum CTX-I, while energy to yield was positively correlated with serum OC and inversely correlated with the number of tartrate-resistant acid phosphatase positive cells at the interface and the amount of peri-implant eroded surface. There was no effect on trabecular bone volume at a remote site. Thus, the particle-induced impaired fixation in this rat model was directly associated with local and serum markers of elevated bone resorption and depressed bone formation, supporting the rationale of exploring both anticatabolic and anabolic strategies to treat and prevent particle-related implant osteolysis and loosening, and indicating that serum markers may prove useful in tracking implant fixation.

Indexed as

BiomarkersBone RemodelingProstheses and ImplantsAnimalsMaleModels, AnimalRatsRats, Sprague-DawleyBiomarkers

Identifiers

PMID22275163
PMCPMC3288298
OpenAlexW2014345044

What OpenQuestion holds

Textmetadata
LicenceTDM
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.