Evidence map›Paper›PMID 40029680›Full record

ArticleNoise & health

Effects of Nighttime Noise Reduction by Using Earplugs on the Recovery of Burn Patients after Reconstructive Surgery.

Weixin Chen, Ke Li, Yuan Shi, Wenjun He, Yang Sun, Jianjiang Liu

Abstract read
In one paragraph

Article in Noise & health. 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

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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. Article
4 · The record

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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.

Weixin ChenDepartment of Burn and Plastic Surgery, The First Affiliated Hospital of Soochow University, Suzhou 215000, Jiangsu, China.
Ke Li
Yuan Shi
Wenjun He
Yang Sun
Jianjiang Liu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to investigate the effects of postoperative noise reduction by using earplugs at night on the healing time and scar quality of burn patients who underwent reconstructive surgery.

methodsThis retrospective cohort study analyzed the clinical data of adult burn patients after they underwent reconstructive surgery at the First Affiliated Hospital of Soochow University from January 2022 to June 2023. The patients were divided into the postoperative noise reduction group (n = 66) and the control group (n = 75) based on whether they received postoperative noise reduction. The control group received standard humanized clinical care, while the postoperative noise reduction group received additional noise-reducing care by using earplugs at night. The effects of postoperative noise reduction on wound healing time, scar quality (Vancouver Scar Scale [VSS]), psychological state (Self-rating Anxiety Scale [SAS] and Self-rating Depression Scale [SDS]), quality of life (Abbreviated Burn Specific Health Scale [BSHS-A]) and incidence of complications were compared between the two groups.

resultsCompared with the control group, the postoperative noise reduction group demonstrated significant differences in wound healing time (P < 0.001), VSS scores (P = 0.003), SAS scores (P = 0.005), SDS scores (P = 0.003), and BSHS-A scores (P < 0.05). No significant difference was found in the incidence of complications between the two groups (P > 0.05).

conclusionIn conclusion, this study provides substantive evidence that postoperative noise reduction positively influences wound healing time, scar quality, quality of life, and psychological state in burn patients after reconstructive surgery. Such insight emphasized the importance of creating a healing-conducive hospital environment for burn patients, integrating noise reduction strategies as a part of holistic nursing practices to optimize recovery outcomes.

Indexed as

BurnsEar Protective DevicesNoisePlastic Surgery ProceduresAdultCicatrixFemaleHumansMaleMiddle AgedPostoperative ComplicationsQuality of LifeRetrospective StudiesWound Healing

Identifiers

PMID40029680
PMCPMC11991135

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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.