Evidence map›Paper›PMID 41465862›Full record

ArticleLife (Basel, Switzerland)2025

Stochastic Nature of Fascia: From Layered Pedagogical Artifact to Morphogenetic Reality in Clinical Anatomy.

John Sharkey, Karen B Kirkness

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

2 authors.

John SharkeyIrish College of Osteopathic Medicine, National Training Centre, DO7 F6CR Dublin, Ireland.ORCID 0000-0001-6947-3170
Karen B KirknessHealth Professions Education Unit, Hull York Medical School, York YO10 5DD, UK.ORCID 0000-0002-1649-7221

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fascia research suffers from definitional fragmentation, with no universal agreement about what fascia actually is, why it matters, or how to define it. Researchers often pursue lines of inquiry based on their existing expertise, yet traditional and newer approaches that might resolve these issues frequently conflict. To address this challenge, the authors use a hermeneutic framework to integrate their combined half century of anatomical experience with a narrative literature synthesis. They propose that fascia functions as a stochastic morphogenetic field rather than a discrete anatomical system, a stochastic process displaying opportunistic dynamics at atomic, molecular, and cellular scales that produces deterministic mechanical properties at macroscopic tissue levels. Four key conclusions emerge: (1) anatomical "virtual spaces" are hyaluronic acid (HA)-tissue manifolds tightly coupled with calcium coordination; (2) fascia functions as a stochastic morphogenetic field where clinically and educationally relevant deterministic patterns emerge; (3) a conceptual framework for context-flexible fascial nomenclature; (4) hermeneutic approaches enable synthesis across theoretical domains. The conclusions support the understanding of HA-mediated EMT/MET plasticity and its "Go or Grow" phenotypes as central conduits for both healing and cancer progression. Understanding the stochastic nature of fascia is thus essential for physicians as well as clinicians in the allied health setting. Optimal fascia-aware movement and manual therapy interventions are those that recognize fascia as a self-adapting morphogenetic field.

Indexed as

calciumclinical anatomyconnective tissuedeterministicendoscopyfasciahyaluronanmechanobiologymedical educationmorphogenetic fieldsstochastic

Identifiers

PMID41465862
PMCPMC12735328

What OpenQuestion holds

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Registered trials

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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.