Evidence map›Paper›PMID 38563121›Full record

ArticleInternational wound journal2024

Evaluating the impact of recombinant human epidermal growth factor on scar formation in oral and maxillofacial traumatic wound healing.

Bin Zhu, Guoyong Tong, Peiyi Gao, Mengxiong Yan

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in International wound journal, 2024. 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 It has been retracted, and should not be counted.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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Bin ZhuOral Diagnosis and Treatment Center, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi City, China.
Guoyong TongOral Diagnosis and Treatment Center, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi City, China.
Peiyi GaoOral Diagnosis and Treatment Center, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi City, China.
Mengxiong YanOral Diagnosis and Treatment Center, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi City, China.ORCID https://orcid.org/0009-0005-6921-0174
The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scarring following oral and maxillofacial trauma can have significant aesthetic and functional repercussions. Recombinant human epidermal growth factor (rhEGF) has emerged as a potential therapeutic agent to enhance wound healing and minimise scar formation. This retrospective study analysed data from March 2020 to June 2023 at a single institution. A total of 105 patients were divided into a control group (n = 70) receiving standard treatment and an observation group (n = 35) receiving standard treatment plus rhEGF. The primary outcomes were the incidence of scar hyperplasia and infection rates, with the secondary outcome being scar aesthetics measured by the visual analogue scale (VAS). No significant differences were found in baseline characteristics between the two groups. The observation group showed a significant reduction in scar hyperplasia (14.3% vs. 57.1%, χ

Indexed as

CicatrixMaxillofacial InjuriesEpidermal Growth FactorHumansHyperplasiaRecombinant ProteinsRetrospective StudiesWound HealingEpidermal Growth FactorRecombinant Proteinsoral and maxillofacial traumarecombinant human epidermal growth factor (rhEGF)scar hyperplasiawound healing

Identifiers

PMID38563121
PMCPMC10985544
OpenAlexW4393509484

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.