Evidence map›Paper›PMID 41695521›Full record

ArticleBiomedical materials & devices (New York, N.Y.)2025

Monitoring the Residual Limb-Socket Interface: A Perspective on Clinical Needs and Challenges.

Ming Liu, Brendan Evert, Sooyoung Kim, Michael D Dickey, Alper Bozkurt, William Filer

Abstract read
In one paragraph

Article in Biomedical materials & devices (New York, N.Y.), 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

6 authors.

Ming LiuLampe Joint Department of Biomedical Engineering, University of North Carolina - Chapel Hill, Chapel Hill, USA.
Brendan EvertDepartment of Electrical and Computer Engineering, North Carolina State University, Raleigh, USA.
Sooyoung KimDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, USA.
Michael D DickeyDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, USA.
Alper BozkurtDepartment of Electrical and Computer Engineering, North Carolina State University, Raleigh, USA.
William FilerDepartment of Physical Medicine and Rehabilitation, University of North Carolina, Chapel Hill, USA.

Funding

SCH: Synchronous Dyadic Physiological Monitoring for Real Time In Vivo Measurement andR01CA297854 · NCI · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI David L Roberts · 2024 to 2026
$898k
An Easy-to-use, iNtelligent, Affordable LinEr (ENABLE) System for Socket Fit AssessmentR21HD106658 · NICHD · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI LIU, MING · 2021 to 2022
$407k
A Low-Cost, Practical Fitness Monitor of Socket-Suspension Systems for Lower Limb AmputeesR43HD105511 · NICHD · ASSIST EQUIPMENT DEVELOPMENT, INC. · PI LIU, MING · 2022 to 2022
$225k
NCI NIH HHS R01 CA297854NICHD NIH HHS R21 HD106658NICHD NIH HHS R43 HD105511
6 · The paper itself

Abstract

Skin-related complications are among the most common secondary conditions experienced by lower limb amputees. Besides connecting the prosthetic legs, the residual limb-socket interface (RLSI) plays a crucial role in maintaining skin health for prosthesis users. However, RLSI evaluation typically relies on subjective feedback from amputees, who may have difficulty accurately assessing the condition of the interface-particularly those with sensory impairments. RLSI monitoring systems have the potential to improve care by providing objective, real-time, and quantitative feedback to amputees, prosthetists, and clinicians. Despite advancements in sensing technologies, most RLSI monitoring research has focused on technical development, with limited attention to clinical integration. As a result, there is a lack of clinical evidence demonstrating improved outcomes from using these monitoring systems. This perspective aims to help researchers align their sensing technologies with current clinical practices so that RLSI monitoring data can support evidence-based medical decision-making. We begin by reviewing RLSI manufacturing and maintenance procedures, followed by an overview of common clinical strategies used to optimize RLSI performance. Next, we discuss the challenges of incorporating RLSI monitoring systems into existing clinical workflows. Finally, we identify key clinical needs and highlight several promising monitoring technologies that could address those needs.

Indexed as

lower limb amputeeProsthetic socketSkin healthWearable sensor

Identifiers

PMID41695521
PMCPMC12904476

What OpenQuestion holds

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LicenceCC BY
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.