Evidence map›Paper›PMID 41899877›Full record

ArticleBioengineering (Basel, Switzerland)2026

Detecting Condylar Lift-Off with a Piezoelectric Smart Knee Replacement.

Brandon D Hines, Ryan Willing, Steven R Anton

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Brandon D HinesDepartment of Mechanical & Nuclear Engineering, Tennessee Technological University, Cookeville, TN 38505, USA.ORCID 0009-0004-1468-9336
Ryan WillingDepartment of Mechanical and Materials Engineering, University of Western Ontario, London, ON N6A 5B9, Canada.ORCID 0000-0002-4127-8645
Steven R AntonDepartment of Mechanical & Nuclear Engineering, Tennessee Technological University, Cookeville, TN 38505, USA.ORCID 0000-0003-2777-5458

Funding

Self-Powered In Vivo Joint Load and Angle Sensing in Total Knee ReplacementR01AR085732 · NIAMS · TENNESSEE TECHNOLOGICAL UNIVERSITY · PI Steven Robert Anton · 2025 to 2026
$1.2M
NIAMS NIH HHS R01 AR085732
6 · The paper itself

Abstract

Smart knee replacement technology seeks to provide an in vivo method of tracking long-term postoperative joint loads with the goal of identifying clinically relevant phenomena linked to postoperative dissatisfaction in real time. This study evaluated the ability of a piezoelectric compartmental force and compartmental center of pressure sensing total knee replacement to sense condylar lift-off, which is a clinically relevant phenomenon commonly attributed to postoperative dissatisfaction. A commercially available total knee replacement was modified to include six piezoelectric transducers capable of measuring compartmental forces and tibiofemoral centers of pressure on the articular surface of the tibial bearing insert. The smart knee replacement was evaluated with a six-degree-of-freedom joint motion simulator applying a varus lift-off profile. The study demonstrated that the lift-off was evident in both the sensed joint loads and the localized tibiofemoral centers of pressure obtained from the piezoelectric sensing system. The results indicated that the piezoelectric smart knee replacement could be effective for detecting this clinically problematic mechanical issue.

Indexed as

compartmental center of pressurecompartmental forcecondylar lift-offpiezoelectricsmart knee replacementtotal knee replacement

Identifiers

PMID41899877
PMCPMC13023493

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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.