Evidence map›Paper›PMID 35332943›Full record

ArticleJournal of orthopaedic research : official publication of the Orthopaedic Research Society2023

Potential for supraphysiologic fluid shear stresses in a rat cemented knee replacement model.

Mark A Miller, William R Hardy, Megan E Oest, Kenneth A Mann

Open access · greenAbstract read
In one paragraph

Article in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Mark A MillerSUNY Upstate Medical University, Syracuse, New York, USA.
William R HardySUNY Upstate Medical University, Syracuse, New York, USA.
Megan E OestSUNY Upstate Medical University, Syracuse, New York, USA.ORCID 0000-0002-7609-730X
Kenneth A MannSUNY Upstate Medical University, Syracuse, New York, USA.ORCID 0000-0003-1150-0740
SUNY Upstate Medical University · US

Funding

INTERFACE FAILURE IN TOTAL JOINT REPLACEMENTSR01AR042017 · NIAMS · UPSTATE MEDICAL UNIVERSITY · PI MANN, KENNETH A. · 2001 to 2021
$6.3M
INTERFACE FAILURE IN TOTAL JOINT REPLACEMENTSR29AR042017 · NIAMS · UPSTATE MEDICAL UNIVERSITY · PI MANN, KENNETH A. · 1996 to 2000
$68k
NIAMS NIH HHS R01 AR042017NIAMS NIH HHS R29 AR042017NIH HHS AR42017
6 · The paper itself

Abstract

The mechano-biologic environment associated with aseptic loosening of cemented joint replacements is not fully understood. The goal of this study was to use a preclinical rat knee arthroplasty model to explore the changes in cement-bone morphology and micromotion that occur with in vivo service. Narrow gaps between cement and bone under the tibial tray were present at early time points, and with even small magnitude micromotion, resulted in large micromotion-to-gap width ratios. These data were then used to develop models of fluid flow in the cement-bone gaps to estimate potential for high fluid shear stress (FSS). Modeling results revealed supraphysiologic (>4 Pa) FSS were possible, particularly for cases in which eccentric loading applied to the implant and if the fluid in the gap consisted of marrow or synovial fluid. The early, high FSS environment, could cause fluid-induced periprosthetic osteolysis locally, resulting in progressive loss of cement-bone fixation.

Indexed as

AnimalsRatscementfixationfluid-induced osteolysismicromechanicspreclinical model

Identifiers

PMID35332943
PMCPMC9509496
OpenAlexW4221081226

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.