Evidence map›Paper›PMID 42729544›Full record

ReviewFrontiers in pain research (Lausanne, Switzerland)2026

Technologies to investigate the mechanisms of force-based manipulations: a narrative methods review.

Arin M Ellingson, Jennifer A Bent, Mary F Barbe, Karl J Lewis, Simon Y Tang, Gregory J Gerling, M Terry Loghmani, William R Reed, Greg N Kawchuk

Abstract readReview
In one paragraph

Review in Frontiers in pain research (Lausanne, Switzerland), 2026. 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

9 authors.

Arin M EllingsonDivision of Physical Therapy and Rehabilitation Science, Department of Family Medicine and Community Health, Medical School, University of Minnesota, Minneapolis, MN, United States.
Jennifer A BentDuke University Department of Rehabilitation Services, Duke University Health System, Durham, NC, United States.
Mary F BarbeAging + Cardiovascular Discovery Center, Department of Cardiovascular Sciences, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, United States.
Karl J LewisMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, United States.
Simon Y TangDepartment of Orthopaedic Surgery, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
Gregory J GerlingSchool of Engineering and Applied Science, University of Virginia, Charlottesville, VA, United States.
M Terry LoghmaniDepartment of Graduate Health Professions Physical Therapy Program, Indiana University, Indianapolis, IN, United States.
William R ReedDepartment of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL, United States.
Greg N KawchukDepartment of Physical Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Canada.

Funding

SPINE-WORK: An inclusive research community to study and improve force-based manipulations for spine painU24AT011978 · NCCIH · UNIVERSITY OF PENNSYLVANIA · PI VICTOR H BAROCAS, Beth A Winkelstein · 2022 to 2026
$3.2M
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
NCCIH NIH HHS U24 AT011969NCCIH NIH HHS U24 AT011970NCCIH NIH HHS U24 AT011978
6 · The paper itself

Abstract

Force-based manipulations (FBM), as defined by the National Center for Complementary and Integrative Health (NCCIH), involve the passive application of mechanical force to the body with therapeutic intent. These approaches are commonly used in pain management, rehabilitation, wellness, and disease prevention, and include spinal and extremity manipulation, mobilization, soft tissue manipulation, massage, myofascial release, osteopathic manipulative treatment, and related manual or instrument-assisted therapies. FBM may involve light touch, pressure, mobilization, thrust, adjustment, needling, or other mechanically mediated inputs, and their effects may be influenced by contextual factors, including interpersonal relational dynamics, physical environment and patient psychophysics. Consistent with ongoing interprofessional efforts to standardize manual therapy nomenclature, this review emphasizes the careful descriptive terminologies and mechanical parameters rather than profession-specific labels. Although these therapeutic approaches are widely used to manage pain and improve function, the biological processes associated with FBM remain unknown and/or inadequately characterized. This narrative review synthesizes established technologies for investigating FBM across multiple domains, including biomechanical loading and motion analysis, tissue, cellular, and molecular imaging, biomarker, transcriptomic, and mechanobiological assessment, neurophysiological monitoring, vascular and microcirculatory assessment, computational modeling/data science, sensory, psychophysical, and contextual assessment, and mechanistic perturbation and neuromodulation methods. Rather than focusing on individual techniques in isolation, this review organizes these methods within a multi-scale framework that relates externally applied mechanical inputs to measurable internal mechanical, neural, vascular, cellular, molecular, regional, and whole-organism responses. Crucially, the physiological impact of these mechanical events is continuously modulated by the operationalized environment and therapeutic alliance, which must be treated as measurable covariates that interact with mechanical inputs. By providing a structured overview of validated and accessible methodologies, this work offers a roadmap for mechanistic FBM research and supports the future development of integrative, interdisciplinary studies. This framework is intended to help investigators characterize applied mechanical inputs using shared descriptive terminology, evaluate physiological responses across levels of structure and function, and examine relationships among mechanical input, contextual factors, biological mechanisms, and clinically meaningful outcomes.

Indexed as

force-based manipulationmanual therapymechanistic researchmulti-domain assessmentneurophysiological regulationnon-pharmacological pain treatmentpain modulationtranslational pain research

Identifiers

PMID42729544
PMCPMC13563129

What Socratic holds

Textmetadata
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 Socratic graph.