Evidence map›Paper›PMID 40766154›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Strain-based biomarkers at the skin surface detect changes in soft tissue mobility linked to myofascial pain following soft tissue manipulation intervention.

Anika R Kao, M Terry Loghmani, Gregory J Gerling

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

5 · Who and what money

Authors and funding

3 authors.

Anika R KaoMechanical and Aerospace Engineering, School of Engineering and Applied Science, University of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0001-9368-8948
M Terry LoghmaniDepartment of Physical Therapy, School of Health and Human Sciences, Indiana University, Indianapolis, Indiana, USA.ORCID 0000-0003-2286-0733
Gregory J GerlingMechanical and Aerospace Engineering, School of Engineering and Applied Science, University of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0003-3137-3822

Funding

NeuronS_MATTR Network: Neuronal & Systems Mechanisms of Affective Touch & Therapeutic Tissue Manipulation Research NetworkU24AT011970 · NCCIH · UNIVERSITY OF CALIFORNIA BERKELEY · PI Gregory John Gerling, Ellen A Lumpkin · 2022 to 2026
$3.2M
Force-Based Manipulations Research NetworkU24AT011969 · NCCIH · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Chad Cook, William Ray Reed · 2022 to 2026
$2.6M
CRCNS: Computational modeling to predict afferent firing to deep pressure touchR01AT013186 · NCCIH · UNIVERSITY OF VIRGINIA · PI GERLING, GREGORY JOHN · 2024 to 2025
$607k
Developing A Quantitative, Multiscale Imaging Approach to Identify Peripheral Mechanisms of Noxious and Innocuous Force Encoding in Mouse ModelsR21AT011980 · NCCIH · UNIVERSITY OF VIRGINIA · PI GERLING, GREGORY JOHN, LUMPKIN, ELLEN A · 2022 to 2023
$433k
NCCIH NIH HHS R01 AT013186NCCIH NIH HHS R21 AT011980NCCIH NIH HHS U24 AT011969NCCIH NIH HHS U24 AT011970
6 · The paper itself

Abstract

Soft tissue manipulation is a widely used massage-based intervention in treating myofascial pain, yet its efficacy in increasing tissue mobility is evaluated primarily through subjective observations. To establish objective measures of tissue mobility, this study captures patterns of skin surface deformation during hands-on clinician assessment using digital image correlation. Nineteen participants underwent an established soft tissue manipulation (STM) intervention protocol targeting the cervicothoracic region. Tissue mobility was assessed bilaterally (left v. right) and directionally (superior v. inferior) before and after the STM intervention using eleven strain-based biomarkers. Post-intervention, those biomarkers associated with tissue deformation and glide exhibited systematic changes, indicating increased mobility. Notably, 88% of participants demonstrated improved tissue mobility, especially on the more restricted body side. Among participants reporting more pain on one side of the body, 90% exhibited greater post-intervention improvement on the more painful side. Moreover, distinctions in the strain-based biomarkers well aligned with self-reported pain, supporting their potential for objective assessment of myofascial dysfunction. This study highlights the feasibility of optical skin surface tracking as a tool for evaluating the efficacy of STM intervention, offering a quantitative, low-cost, and realistic clinical approach.

Indexed as

digital image correlationmanual therapymassageskin mechanicssoft tissue manipulation

Identifiers

PMID40766154
PMCPMC12324639

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.