Evidence map›Paper›PMID 35044134›Full record

ArticleEuropean journal of translational myology2022

The ischemic model of chronic muscle spasm and pain.

Roger H Coletti

Open access · goldAbstract read
In one paragraph

Article in European journal of translational myology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 22 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

1 author at 1 institution in 1 country.

Roger H ColettiInterventional Health, PA, Lewes, DE. rogercoletti@gmail.com.
Society of Interventional Radiology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article was not intended to be a complete review of the electromyography of pathological muscle states, but it was written to illustrate how the "Coletti Method of EMG ChemoDenervation" (CMECD®) protocol for the treatment of chronic pain resulting from chronic muscle spasm was developed and established. That process led to an unexpected understanding of the underlying pathophysiology of chronic muscle spasm, which represents a paradigm shift in our understanding and ultimately in our treatment of muscle spasm-induced chronic pain. Other investigators had brought to light the presence of spontaneous electrical activity (SEA) in states of muscle spasm. Those findings were all but ignored by standard EMG/Nerve conduction studies in clinical practice. Starting with a simple EMG device I experimented with various medications to treat patients with chronic pain associated with chronic muscle spasm. Suppression of SEA with long-acting medications resolved both the chronic spasm and chronic pain. A successful protocol using phenoxybenzamine was established and clinical outcomes were followed. More than 200 patients were successfully treated during last 12 years. Correlating known exercise muscle physiology with the development of the pathological state of chronic muscle spasm as seen by electromyography led to the postulation of the ischemic model of chronic muscle spasm. Light microscopy pathophysiologic supportive findings are presented and discussed. Predictions from this model to various aspects of treatment were supportive. Implications regarding treatment by the CMECD procedure, as well as other standard therapies, are discussed. Application of the ischemic model to other pain conditions was explored with implications of therapeutic modification. Recommendations for changes in rehabilitation therapy are discussed.

Identifiers

PMID35044134
PMCPMC8992665
OpenAlexW4206463571

What OpenQuestion holds

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LicenceCC BY-NC
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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.