Evidence map›Paper›PMID 42529546›Full record

ArticleJournal of orthopaedic experience & innovation

Wireless Suture Button Accessory Sensor for Intra- and Post-Operative Monitoring of Suture Loading in Soft Tissue Reconstruction.

Salil S Karipott, Kaylee Meyers, Stephen Laffoon, Michael McGeehan, Samuel Adams, Jonathan Riboh, Nicholas Strasser, Ken Gall, Robert Guldberg, Keat Ghee Ong

Abstract read
In one paragraph

Article in Journal of orthopaedic experience & innovation. 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

10 authors.

Salil S KaripottPenderia Technologies Inc.
Kaylee MeyersBioengineering, Knight Campus for Scientific Impact, University of Oregon.
Stephen LaffoonPenderia Technologies Inc.
Michael McGeehanBioengineering, Knight Campus for Scientific Impact, University of Oregon.
Samuel AdamsDuke Medical Center.
Jonathan RibohSports Medicine Center, OrthoCarolina.
Nicholas StrasserDepartment of Orthopedic Surgery, Vanderbilt University.
Ken GallDepartment of Mechanical Engineering and Materials Science, Duke University.
Robert GuldbergBioengineering, Knight Campus for Scientific Impact, University of Oregon.
Keat Ghee OngBioengineering, Knight Campus for Accelerating Scientific Impact, University of Oregon.

Funding

Real-time Feedback for Post-Operative Rehabilitation of Rotator Cuff Repairs using Wireless Force-Sensing Suture AnchorsR43AR078728 · NIAMS · PENDERIA TECHNOLOGIES, INC. · PI KARIPOTT, SALIL SIDHARTHAN · 2021 to 2021
$251k
NIAMS NIH HHS R43 AR078728
6 · The paper itself

Abstract

Background: Tensioning and relaxation of grafts in tendon and ligament reconstruction surgeries significantly influence operation success, yet there are no clinically available technologies that can effectively measure both graft tension intra-operatively and during post-surgical recovery and rehabilitation. Objective: To address the lack of an effective technology to measure graft tension intra-operatively and post-operatively, an implantable sensor was developed to provide real-time suture loading biofeedback both during reconstruction for surgeons and during rehabilitation exercises for physical therapists. Methods: This paper introduces a passively powered wireless sensor designed to monitor tension of tendon and ligament sutures fixed in orthopedic reconstruction surgeries. The inductive-capacitive-resistive (LCR) based sensor was designed to be used along with commercially available suture buttons to monitor loading in reconstructed tendons and ligaments. Results: Sensor loading experiments demonstrated a detection range from 5 N to 180 N with high repeatability (1.8 % change in sensitivity over 10,000 cycles). Additionally, the effects of depth, alignment, and orientation on signal transmission between the implantable sensor and an external detection device were characterized. Finally, the sensor was deployed in an anterior cruciate ligament reconstructed cadaver knee and used to detect graft loading during various knee joint movements. Conclusion: This study established the design and basic functionality of a suture button accessory loading sensor to potentially assist orthopedic surgeons with surgical technique and help physical therapists with optimizing rehabilitation protocols for enhanced recovery in an effort to reduce failure rates.

Indexed as

Anterior cruciate ligamentimplantableorthopedic rehabilitationsuture buttonwireless sensor

Identifiers

PMID42529546
PMCPMC13417465

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.