Evidence map›Paper›PMID 39830523›Full record

ArticleFrontiers in network physiology2024

External low energy electromagnetic fields affect heart dynamics: surrogate for system synchronization, chaos control and cancer patient's health.

Frederico P Costa, Jack Tuszynski, Antonio F Iemma, Willian A Trevizan, Bertram Wiedenmann, Eckehard Schöll

Abstract read
In one paragraph

Article in Frontiers in network physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

6 authors.

Frederico P CostaOncology Department, Hospital Sírio Libanês, São Paulo, Brazil.
Jack TuszynskiDipartimento di Ingegneria Meccanica e Aerospaziale, Politecnico di Torino, Turin, Italy.
Antonio F IemmaMathematical and Statistics, Autem Therapeutics, Hanover, NH, United States.
Willian A TrevizanPhysics and Mathematical Modeling, Autem Therapeutics, Hanover, NH, United States.
Bertram WiedenmannDepartment of Hepatology and Gastroenterology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Eckehard SchöllInstitut für Theoretische Physik, Technische Universität Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

All cells in the human body, including cancer cells, possess specific electrical properties crucial for their functions. These properties are notably different between normal and cancerous cells. Cancer cells are characterized by autonomous oscillations and damped electromagnetic field (EMF) activation. Cancer reduces physiological variability, implying a systemic disconnection that desynchronizes bodily systems and their inherent random processes. The dynamics of heart rate, in this context, could reflect global physiological network instability in the sense of entrainment. Using a medical device that employs an active closed-loop system, such as administering specifically modulated EMF frequencies at targeted intervals and at low energies, we can evaluate the periodic oscillations of the heart. This procedure serves as a closed-loop control mechanism leading to a temporary alteration in plasma membrane ionic flow and the heart's periodic oscillation dynamics. The understanding of this phenomenon is supported by computer simulations of a mathematical model, which are validated by experimental data. Heart dynamics can be quantified using difference logistic equations, and it correlates with improved overall survival rates in cancer patients.

Indexed as

cancer cellscancer treatmentchaos controlnon-thermal electromagnetic fieldsoscillationsradiofrequencyresonancesynchronization

Identifiers

PMID39830523
PMCPMC11739291

What Socratic holds

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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.