Evidence map›Paper›PMID 41007232›Full record

ReviewBioengineering (Basel, Switzerland)2025

Biosensor-Integrated Tibial Components in Total Knee Arthroplasty: A Narrative Review of Innovations, Challenges, and Translational Frontiers.

Ahmed Nadeem-Tariq, Christopher J Fang, Jeffrey Lucas Hii, Karen Nelson

Abstract readReview
In one paragraph

Review in Bioengineering (Basel, Switzerland), 2025. 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

4 authors.

Ahmed Nadeem-TariqKirk Kerkorian School of Medicine, University of Nevada Las Vegas, 625 Shadow Lane, Las Vegas, NV 89106, USA.ORCID 0009-0007-1836-6608
Christopher J FangKirk Kerkorian School of Medicine, University of Nevada Las Vegas, 625 Shadow Lane, Las Vegas, NV 89106, USA.
Jeffrey Lucas HiiKirk Kerkorian School of Medicine, University of Nevada Las Vegas, 625 Shadow Lane, Las Vegas, NV 89106, USA.ORCID 0009-0003-1499-6515
Karen NelsonKirk Kerkorian School of Medicine, University of Nevada Las Vegas, 625 Shadow Lane, Las Vegas, NV 89106, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incorporation of biosensors into orthopedic implants, particularly tibial components in total knee arthroplasty (TKA), marks a new era in personalized joint replacement. These smart systems aim to provide real-time physiological and mechanical data, enabling dynamic postoperative monitoring and enhanced surgical precision.

objectiveThis narrative review synthesizes the current landscape of electrochemical biosensor-embedded tibial implants in TKA, exploring technical mechanisms, clinical applications, challenges, and future directions for translation into clinical practice.

methodsA comprehensive literature review was conducted across PubMed and Google Scholar. Articles were thematically categorized into technology design, integration strategies, preclinical and clinical evidence, regulatory frameworks, ethical considerations, and strategic recommendations. Findings were synthesized narratively and organized to support forward-looking system design.

resultsSmart tibial implants have demonstrated feasibility in both bench and early clinical settings. Key advances include pressure-sensing intraoperative tools, inertial measurement units for remote gait tracking, and chemical biosensors for infection surveillance. However, the field remains limited by biological encapsulation, signal degradation, regulatory uncertainty, and data privacy challenges. Interdisciplinary design, standardized testing, translational funding, and ethical oversight are essential to scaling these innovations.

conclusionsBiosensor-enabled tibial components represent a promising convergence of orthopedics, electronics, and data science. By addressing the technological, biological, regulatory, and ethical gaps outlined herein, this field can transition from prototype to widespread clinical reality-offering new precision in arthroplasty care.

Indexed as

biomedical engineeringelectrochemical biosensorsimplantable sensorsinterdisciplinary collaborationorthopedic innovationpersonalized medicinesensor-enabled arthroplastysmart implantstotal knee arthroplastytranslational research

Identifiers

PMID41007232
PMCPMC12467652

What OpenQuestion holds

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LicenceCC BY
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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.