Evidence map›Paper›PMID 35403362›Full record

ArticleInternational wound journal2022

Topical application of oxygen nano-bubble water enhances the healing process of ischaemic skin wound healing in an animal model.

Kohei Aoki, Yukiko Ida, Noritoshi Fukushima, Hajime Matsumura

Open access · goldAbstract read
In one paragraph

Article in International wound journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  3. Review
  4. Review
  5. 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

4 authors at 1 institution in 1 country.

Kohei AokiDepartment of Plastic Surgery, Tokyo Medical University, Shinjuku City, Japan.
Yukiko IdaDepartment of Plastic Surgery, Tokyo Medical University, Shinjuku City, Japan.
Noritoshi FukushimaDepartment of Preventive Medicine and Public Health, Tokyo Medical University, Shinjuku City, Japan.
Hajime MatsumuraDepartment of Plastic Surgery, Tokyo Medical University, Shinjuku City, Japan.
Tokyo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the usefulness of oxygen nano-bubble water as an oxygen-rich liquid for wound healing, by analysing its effect on the wound-healing process in rats. Sprague-Dawley rats (n = 36) were divided into two groups: the wound-healing model group without ischaemia (n = 18) and the ischaemic group (n = 18). In each rat, an 8 mm diameter full-thickness skin defect wound was created on the back; in rats in the ischaemic group, a bi-pedicle flap (width, 3.6 cm; length, 8.6 cm) was also created. The wounds of six rats from each group were then treated with AQUACELL soaked with oxygen nano-bubble water, and compared with those of control rats, which were treated with purified water (same as that used to make the oxygen nano-bubble water; n = 6) or physiological saline solution (n = 6). There was no significant difference in epithelialisation rate and number of days of epithelialisation among the subgroups in the wound-healing model group. In the ischaemic group, there was a significant improvement in the wound-healing rate and time of the oxygen nano-bubble water subgroup. Oxygen nano-bubble water therapy enhances the ischaemic wound-healing process.

Indexed as

OxygenSoft Tissue InjuriesAnimalsDisease Models, AnimalIschemiaRatsRats, Sprague-DawleySkinWaterWound HealingOxygenWateranimal modeloxygen nano-bubblewound healing

Identifiers

PMID35403362
PMCPMC9615287
OpenAlexW4223498412

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.