Evidence map›Paper›PMID 37373891›Full record

ArticleJournal of personalized medicine2023

REAC Neurobiological Modulation as a Precision Medicine Treatment for Fibromyalgia.

Analízia Silva, Ana Rita Barcessat, Rebeca Gonçalves, Cleuton Landre, Lethícia Brandão, Lucas Nunes, Hyan Feitosa, Leonardo Costa, Raquel Silva, Emanuel de Lima and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Biochemistry and biophysics reports · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
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

14 authors at 3 institutions in 2 countries.

Analízia SilvaDepartment of Biological and Health Sciences, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil.
Ana Rita BarcessatDepartment of Biological and Health Sciences, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil.ORCID 0000-0002-5261-6435
Rebeca GonçalvesDepartment of Biological and Health Sciences, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil.
Cleuton LandreDepartment of Biological and Health Sciences, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil.
Lethícia BrandãoDepartment of Biological and Health Sciences, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil.
Lucas NunesDepartment of Biological and Health Sciences, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil.
Hyan FeitosaDepartment of Biological and Health Sciences, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil.
Leonardo CostaDepartment of Biological and Health Sciences, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil.
Raquel SilvaDepartment of Biological and Health Sciences, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil.
Emanuel de LimaDepartment of Biological and Health Sciences, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil.
Ester Suane MonteiroDepartment of Biological and Health Sciences, Federal University of Amapá-UNIFAP, Macapá 68903-419, Brazil.
Arianna RinaldiDepartment of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0003-1855-6624
Vania FontaniDepartment of Adaptive Neuro Psycho Physio Pathology and Neuro Psycho Physical Optimization, Rinaldi Fontani Institute, 50144 Florence, Italy.ORCID 0000-0003-0141-6270
Salvatore RinaldiDepartment of Adaptive Neuro Psycho Physio Pathology and Neuro Psycho Physical Optimization, Rinaldi Fontani Institute, 50144 Florence, Italy.ORCID 0000-0002-8961-6316
Universidade Federal do Amapá · BRDeutsches Historisches Institut Rom · ITUniversity of Sassari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibromyalgia syndrome (FS) is a disorder characterized by widespread musculoskeletal pain and psychopathological symptoms, often associated with central pain modulation failure and dysfunctional adaptive responses to environmental stress. The Radio Electric Asymmetric Conveyer (REAC) technology is a neuromodulation technology. The aim of this study was to evaluate the effects of some REAC treatments on psychomotor responses and quality of life in 37 patients with FS. Tests were conducted before and after a single session of Neuro Postural Optimization and after a cycle of 18 sessions of Neuro Psycho Physical Optimization (NPPO), using evaluation of the functional dysmetria (FD) phenomenon, Sitting and Standing (SS), Time Up and Go (TUG) tests for motor evaluation, Fibromyalgia Impact Questionnaire (FIQ) for quality of life. The data were statistically analyzed, and the results showed a statistically significant improvement in motor response and quality of life parameters, including pain, as well as reduced FD measures in all participants. The study concludes that the neurobiological balance established by the REAC therapeutic protocols NPO and NPPO improved the dysfunctional adaptive state caused by environmental and exposomal stress in FS patients, leading to an improvement in psychomotor responses and quality of life. The findings suggest that REAC treatments could be an effective approach for FS patients, reducing the excessive use of analgesic drugs and improving daily activities.

Indexed as

endogenous bioelectric activityfibromyalgia 1pain 2psychopathological symptoms 3

Identifiers

PMID37373891
PMCPMC10304207
OpenAlexW4378528254

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.