Evidence map›Paper›PMID 37064460›Full record

ArticleHeliyon2023

Predictive application of foam dressing on preventing of auricle pressure injury caused by ear dressing.

Na Liao, Fang Wang, Xufang He, Leiji Li, Jing Fei

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Na LiaoDepartment of Otolaryngology and Head and Neck Surgery, The Affilated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China.
Fang WangDepartment of Otolaryngology and Head and Neck Surgery, The Affilated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China.
Xufang HeDepartment of Otolaryngology and Head and Neck Surgery, The Affilated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China.
Leiji LiDepartment of Otolaryngology and Head and Neck Surgery, The Affilated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China.
Jing FeiDepartment of Otolaryngology and Head and Neck Surgery, The Affilated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China.
Southwest Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The use of foam dressings has been regarded as part of the individualized care plan in clinical practice. Our study aimed to compare the predictive application of foam dressing and conventional nursing method in the prevention of auricle pressure injury (PI) caused by ear dressing. Methods: Two hundred and four patients undergoing ear dressing after the operation in the Affiliated Hospital of Southwest Medical University in Sichuan, China from January 2021 to September 2021 were recruited as research objects. Patients were randomized into intervention group (n = 102) and control group (n = 102) using double-blind method. Result: Results showed that patients in the intervention group showed significantly lower incidence of auricle PI and higher comfort and satisfaction levels than those in the control group ( Conclusion: Our study reflected effective predictive application of foam dressing in reducing the incidence of auricle PI in ear dressing, which was suitable for clinical application.

Indexed as

AuricleEar dressingFoam dressingPressure injury

Identifiers

PMID37064460
PMCPMC10102193
OpenAlexW4360989605

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.