Evidence map›Paper›PMID 39246391›Full record

ArticlePlasma (Basel, Switzerland)2024

Plasma Control: A Review of Developments and Applications of Plasma Medicine Control Mechanisms.

Jonathan E Thomas, Katharina Stapelmann

Abstract read
In one paragraph

Article in Plasma (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

2 authors.

Jonathan E ThomasDepartment of Nuclear Engineering, North Carolina State University, Raleigh, NC 27695, USA.ORCID 0009-0009-4094-3955
Katharina StapelmannDepartment of Nuclear Engineering, North Carolina State University, Raleigh, NC 27695, USA.ORCID 0000-0002-2116-2661

Funding

Development of a closed-loop control system for plasma medicineR01EB029705 · NIBIB · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI BERTHIAUME, FRANCOIS, KREBS, FRED C. · 2022 to 2025
$2.0M
NIBIB NIH HHS R01 EB029705
6 · The paper itself

Abstract

Cold atmospheric plasmas (CAPs) within recent years have shown great promise in the field of plasma medicine, encompassing a variety of treatments from wound healing to the treatment of cancerous tumors. For each subsequent treatment, a different application of CAPs has been postulated and attempted to best treat the target for the most effective results. These treatments have varied through the implementation of control parameters such as applied settings, electrode geometries, gas flow, and the duration of the treatment. However, with such an extensive number of variables to consider, scientists and engineers have sought a means to accurately control CAPs for the best-desired effects in medical applications. This paper seeks to investigate and characterize the historical precedent for the use of plasma control mechanisms within the field of plasma medicine. Current control strategies, plasma parameters, and control schemes will be extrapolated through recent developments and successes to gain better insight into the future of the field and the challenges that are still present in the overall implementation of such devices. Proposed approaches, such as data-driven machine learning, and the use of closed-loop feedback controls, will be showcased as the next steps toward application.

Indexed as

atmospheric pressure plasma jetcold atmospheric plasmadielectric barrier dischargemachine learningneural networkplasma controlplasma medicineplasma oncologyplasma processingpredictive control

Identifiers

PMID39246391
PMCPMC11378269

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.