Evidence map›Paper›PMID 38533359›Full record

ArticlePostepy dermatologii i alergologii2024

Vacuum sealing drainage technique combined with carbon nanomaterial dressings applied in the treatment of skin wounds.

Yan Li, Guiqiu Dong, Yun Xie, Jie Wang

Open access · goldAbstract read
In one paragraph

Article in Postepy dermatologii i alergologii, 2024. 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
–field-weighted citation impact, top 94% 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, 0 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

4 authors at 2 institutions in 1 country.

Yan LiWound Care Clinic of Outpatient, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, Jiangsu Province, China.
Guiqiu DongSecond Department of Orthopaedics, Suzhou Kowloon Hospital, Medical College of Shanghai Jiaotong University, Suzhou, Jiangsu Province, China.
Yun XieDepartment of Anaesthesiology and Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Jie WangDepartment of Nursing, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, Jiangsu Province, China.
Soochow University · CNSuzhou Kowloon Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Limb trauma (LT) encompasses a variety of conditions and currently poses certain therapeutic challenges in clinical practice. Aim: To assess the effectiveness of applying the vacuum sealing drainage (VSD) technique combined with carbon nanomaterial (CNM) dressings in the nursing treatment of LT patients. Material and methods: Eighty-six LT patients were enrolled into a control (Ctrl) group and an experimental (Exp) group. Patients in the Ctrl group underwent conventional wound cleansing and drainage methods with regular dressings, while those in the Exp group received VSD combined with CNM dressings. Both groups received the same nursing procedures. Various indicators were observed and compared to analyse the final outcomes. Results: The Exp group exhibited a higher favourable wound healing (FWH) rate, overall limb functional recovery (LFR) rate, and nursing satisfaction compared to the Ctrl group ( Conclusions: Results of this work yielded a novel therapeutic option for clinical practice, enhancing treatment outcomes and rehabilitation processes for LT patients.

Indexed as

carbon nanomaterial dressingslimb traumanursing interventionvacuum sealing drainage technique

Identifiers

PMID38533359
PMCPMC10962379
OpenAlexW4392871644

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.