Evidence map›Paper›PMID 31825107›Full record

ArticleJournal of orthopaedic research : official publication of the Orthopaedic Research Society2020

Early changes in serum osteocalcin and body weight are predictive of implant fixation in a rat model of implant loosening.

Brittany M Wilson, Meghan M Moran, Matthew J Meagher, Ryan D Ross, Maleeha Mashiatulla, Amarjit S Virdi, Dale R Sumner

Open access · greenAbstract read
In one paragraph

Article in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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
  4. Biomechanics of Implant Fixation in Osteoporotic Bone.Current osteoporosis reports · 2020
    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

7 authors at 1 institution in 1 country.

Brittany M WilsonDepartment of Cell & Molecular Medicine, Rush University Medical Center, Chicago, Illinois.ORCID 0000-0003-2594-3841
Meghan M MoranDepartment of Cell & Molecular Medicine, Rush University Medical Center, Chicago, Illinois.ORCID 0000-0001-7801-4849
Matthew J MeagherDepartment of Cell & Molecular Medicine, Rush University Medical Center, Chicago, Illinois.
Ryan D RossDepartment of Cell & Molecular Medicine, Rush University Medical Center, Chicago, Illinois.ORCID 0000-0003-3760-234X
Maleeha MashiatullaDepartment of Cell & Molecular Medicine, Rush University Medical Center, Chicago, Illinois.
Amarjit S VirdiDepartment of Cell & Molecular Medicine, Rush University Medical Center, Chicago, Illinois.ORCID 0000-0002-8834-2659
Dale R SumnerDepartment of Cell & Molecular Medicine, Rush University Medical Center, Chicago, Illinois.ORCID 0000-0001-9575-3862
Rush University Medical Center · US

Funding

Detection and Treatment of Peri-Implant OsteolysisR01AR066562 · NIAMS · RUSH UNIVERSITY MEDICAL CENTER · PI SUMNER, D RICK · 2015 to 2019
$1.7M
Role of the Gut Microbiome in Implant LooseningR21AR075130 · NIAMS · RUSH UNIVERSITY MEDICAL CENTER · PI SUMNER, D RICK · 2019 to 2020
$380k
NIAMS NIH HHS R01 AR066562NIAMS NIH HHS R21 AR075130
6 · The paper itself

Abstract

Biomarkers are of interest to identify patients at risk for peri-implant osteolysis and aseptic loosening. We used a rat model of particle-induced peri-implant osteolysis to investigate if early changes in biomarkers were associated with subsequent implant fixation strength. Implants were placed in rat femora, which were then challenged with intra-articular knee injections of either clean polyethylene, lipopolysaccharide-doped polyethylene, or cobalt-chromium alloy particles, with particle-free vehicle serving as control (n ≥ 8 per group). Rats were weighed weekly, blood was collected at weeks 0, 3, 5, and 6, and locomotor behavior was assessed 4 days before study conclusion. Rats were euthanized 6 weeks post surgery. Week 6 serum was analyzed for five bone remodeling markers, while longitudinal serum was assessed for osteocalcin. Bone-implant contact, peri-implant trabecular architecture, and implant fixation strength were measured. Rats challenged with cobalt-chromium particles had a significant reduction in implant fixation strength compared with the vehicle-control group (P = .034). This group also had elevated serum osteocalcin (P = .005), depressed weight gain (P = .001) and less frequent rearing behavior (P = .029). Regardless of group, change in serum osteocalcin at week 3 (r = -.368; P = .046), change in weight at week 2 (r = .586; P < .001), as well as weight change at all other time intervals were associated with fixation strength. The finding that early alterations in serum osteocalcin and body weight were predictive of subsequent implant fixation strength supports continued investigation of biomarkers for early detection of peri-implant osteolysis and implant loosening. Further, change in biomarker levels was found to be more indicative of implant fixation status than any single measurement.

Indexed as

Body WeightAnimalsBiomarkersBone RemodelingImplants, ExperimentalLipopolysaccharidesMaleMotor ActivityOsteocalcinOsteolysisPolyethyleneRatsRats, Sprague-DawleyBiomarkersLipopolysaccharidesOsteocalcinPolyethyleneaseptic looseningbiomarkerosteocalcinosteolysisrat

Identifiers

PMID31825107
PMCPMC7225033
OpenAlexW2994639999

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.