Evidence map›Paper›PMID 40342937›Full record

ReviewBioelectricity2025

Bioelectronic Therapeutics: A Revolutionary Medical Practice in Health Care.

Ishu Garg, Madhu Verma, Harish Kumar, Ravi Maurya, Tushar Negi, Prityush Jain

Abstract readReview
In one paragraph

Review in Bioelectricity, 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

6 authors.

Ishu GargSardar Bhagwan Singh University, Dehradun, Uttarakhand, India.ORCID https://orcid.org/0000-0002-6831-8096
Madhu VermaITS College of Pharmacy, Ghaziabad, Uttar Pradesh, India.
Harish KumarSardar Bhagwan Singh University, Dehradun, Uttarakhand, India.
Ravi MauryaSardar Bhagwan Singh University, Dehradun, Uttarakhand, India.
Tushar NegiSardar Bhagwan Singh University, Dehradun, Uttarakhand, India.
Prityush JainDIT University, Mussoorie, Uttarakhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emerging field of bioelectronic therapeutics unfolds great opportunities for treating numerous neurological and inflammatory conditions by utilizing the amalgamation of molecular medicine, neuroscience, engineering, and computing. These innovative treatments leverage advanced technology to precisely identify, design, and regulate electrical signaling patterns in the nervous system, addressing multiple diseases. Modifying neural signaling patterns to produce therapeutic effects at a particular organ may blur the lines between conventional medical practices. These modify the neurological behavior using electrical, magnetic, optical, and ultrasonic pulses through closed-loop systems to optimize neural behavior. The Food and Drug Administration (FDA) has approved numerous invasive and noninvasive bioelectronic devices, in the treatment of various neuronal diseases and non-neuronal diseases. Furthermore, the FDA has approved many devices for clinical studies. The field of bioelectronics encounters challenges in integrating with the health care system, including incomplete understanding of human nervous anatomy, neuronal function, membrane potential, and technological limitations. This review aims to explore bioelectronics therapeutics, their role or action in challenges to growth and their solutions, and the prospects of bioelectronic therapeutics.

Indexed as

bioelectronic therapeuticsneural and non-neural biomarkersneural codingneural signalingneuromodulationopen- and closed-loop systems

Identifiers

PMID40342937
PMCPMC12054615

What OpenQuestion holds

Textmetadata
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.