Evidence map›Paper›PMID 40109775›Full record

ReviewCureus2025

Wearable Sensor Technology for Hyperhidrosis Management in Individuals With Prosthetic Limbs: A Narrative Review.

Kelly M Frasier, Mary Grace Hash, Andrew Pugliese

Abstract readReview
In one paragraph

Review in Cureus, 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

3 authors.

Kelly M FrasierDermatology, Northwell Health, New Hyde Park, USA.
Mary Grace HashDermatology, Edward Via College of Osteopathic Medicine, Auburn, USA.
Andrew PuglieseDermatology, Touro College of Osteopathic Medicine, Middletown, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable sensor technologies offer a cutting-edge solution for managing hyperhidrosis in individuals with prosthetic limbs, directly addressing the complex challenges posed by excessive sweating at the prosthetic-skin interface. Excessive moisture can lead to skin breakdown, increased risk of infections, and compromised prosthetic fit, all of which reduce functionality and user comfort. Advanced biosensors embedded within the system continuously monitor moisture levels and skin temperature in real time, providing precise data on sweat production and skin conditions. This data is relayed to mobile health platforms, allowing users and clinicians to make informed, immediate adjustments, such as modifying prosthetic materials, adjusting fit, or activating integrated cooling mechanisms to mitigate complications. Integrating real-time feedback into the device's function offers a personalized, noninvasive approach, enhancing both comfort and long-term prosthetic performance while surpassing traditional hyperhidrosis treatments like systemic medications, topical therapies, or invasive interventions such as botulinum toxin injections. However, limitations such as sensor calibration issues in fluctuating environmental conditions, sensor durability, and ensuring user compliance remain challenges. Future advancements may incorporate machine learning algorithms to predict and preempt hyperhidrosis episodes, offering even more precise control and adaptability. With the potential for seamless integration into telemedicine platforms, wearable sensor technologies have the potential to revolutionize the management of hyperhidrosis for prosthetic users, offering a personalized, real-time solution that addresses both medical and functional challenges.

Indexed as

biosensor-based detectionbiosensorshealthcare biosensorsprosthetic limbsmart health wearablewearable biosensing deviceswearable deviceswearable medical devices

Identifiers

PMID40109775
PMCPMC11920845

What OpenQuestion holds

Textmetadata
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.