Evidence map›Paper›PMID 36262869›Full record

SynthesisComputational and mathematical methods in medicine2022

Efficacy of Cold Atmospheric Plasma Therapy on Chronic Wounds: An Updated Systematic Review and Meta-Analysis of RCTs.

Julan Guo, Yuxing Huang, Bojun Xu, Jiao Yang

RetractedAbstract readMeta-AnalysisSystematic ReviewRetracted Publication
In one paragraph

Synthesis in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Julan GuoHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.ORCID https://orcid.org/0000-0003-3325-3613
Yuxing HuangHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.ORCID https://orcid.org/0000-0003-2431-2028
Bojun XuHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.ORCID https://orcid.org/0000-0002-1189-5191
Jiao YangHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.ORCID https://orcid.org/0000-0002-7673-3521

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: A previous meta-analysis has revealed that cold atmospheric plasma (CAP) might not be clinically beneficial to chronic wounds. However, several new randomized controlled trials (RCTs) reported that CAP was an effective treatment option for accelerating wound healing in chronic wounds. The purpose of this review is to incorporate these new results and evaluate the efficacy of CAP in chronic wounds. Methods: The major databases, including PubMed, Embase, Cochrane Library, and Web of Science, were searched for articles related to CAP treatment in chronic wounds until March 21, 2022. The literature retrieval and evaluation were carried out by two independent researchers. Result: A total of 13 randomized clinical trials published between 2010 and 2022 were finally included. CAP therapy showed to be more effective in reducing the area of wounds (mean difference (MD): -1.74, 95%; confidence interval (CI): [-3.14, -0.33], Conclusion: No significant changes were found in long-term antibacterial efficacy and pain perception between the two groups. However, more RCTs of excellent methodological quality are required to confirm technical details of the source of AP and the appropriate duration of the treatment with plasma.

Indexed as

Hypothermia, InducedPlasma GasesAnti-Bacterial AgentsBacterial LoadDatabases, FactualHumansAnti-Bacterial AgentsPlasma Gases

Identifiers

PMID36262869
PMCPMC9576403

What OpenQuestion holds

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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.