Evidence map›Paper›PMID 37901614›Full record

ArticleFrontiers in pain research (Lausanne, Switzerland)2023

A model for personalized diagnostics for non-specific low back pain: the role of the myofascial unit.

Siddhartha Sikdar, John Srbely, Jay Shah, Yonathan Assefa, Antonio Stecco, Secili DeStefano, Marta Imamura, Lynn H Gerber

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pain research (Lausanne, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

9 citing papers in PubMed, 10 citations in OpenAlex.

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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

8 authors at 6 institutions in 2 countries.

Siddhartha SikdarCenter for Adaptive Systems of Brain Body Interactions, George Mason University, Fairfax, VA, United States.
John SrbelyDepartment of Human Health and Nutritional Sciences, University of Guelph, Guelph, CA, United States.
Jay ShahRehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD, United States.
Yonathan AssefaRehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, MD, United States.
Antonio SteccoDepartment of Rehabilitation Medicine, New York University Grossman School of Medicine, New York City, NY, United States.
Secili DeStefanoOptimal Motion Inc, Herndon, VA, United States.
Marta ImamuraFaculty of Medicine, University of São Paolo, São Paulo, Brazil.
Lynn H GerberCenter for Adaptive Systems of Brain Body Interactions, George Mason University, Fairfax, VA, United States.
National Institutes of Health Clinical Center · USGeorge Mason University · USInova Health System · USNew York University · USOptimal Solutions (United States) · USUniversidade de São Paulo · BR

Funding

Multimodal imaging biomarkers for investigating fascia, muscle and vasculature in myofascial pain.R61AT012286 · NCCIH · GEORGE MASON UNIVERSITY · PI SIKDAR, SIDDHARTHA · 2022 to 2022
$1.5M
NCCIH NIH HHS R61 AT012286
6 · The paper itself

Abstract

Low back pain (LBP) is the leading cause of disability worldwide. Most LBP is non-specific or idiopathic, which is defined as symptoms of unknown origin without a clear specific cause or pathology. Current guidelines for clinical evaluation are based on ruling out underlying serious medical conditions, but not on addressing underlying potential contributors to pain. Although efforts have been made to identify subgroups within this population based on response to treatment, a comprehensive framework to guide assessment is still lacking. In this paper, we propose a model for a personalized mechanism-based assessment based on the available evidence that seeks to identify the underlying pathologies that may initiate and perpetuate central sensitization associated with chronic non-specific low back pain (nsLBP). We propose that central sensitization can have downstream effects on the "myofascial unit", defined as an integrated anatomical and functional structure that includes muscle fibers, fascia (including endomysium, perimysium and epimysium) and its associated innervations (free nerve endings, muscle spindles), lymphatics, and blood vessels. The tissue-level abnormalities can be perpetuated through a vicious cycle of neurogenic inflammation, impaired fascial gliding, and interstitial inflammatory stasis that manifest as the clinical findings for nsLBP. We postulate that our proposed model offers biological plausibility for the complex spectrum of clinical findings, including tissue-level abnormalities, biomechanical dysfunction and postural asymmetry, ecological and psychosocial factors, associated with nsLBP. The model suggests a multi-domain evaluation that is personalized, feasible and helps rule out specific causes for back pain guiding clinically relevant management. It may also provide a roadmap for future research to elucidate mechanisms underlying this ubiquitous and complex problem.

Indexed as

biopsychosocial modellow back painmechanism-based clinical assessmentmyofascial pain syndromemyofascial unitpersonalized diagnostics

Identifiers

PMID37901614
PMCPMC10606250
OpenAlexW4387603361

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.