Evidence map›Paper›PMID 39051071›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2024

[

L Wang, W Qi, J Gao, M Tian, J Xu

Abstract readEnglish Abstract
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

L WangGraduate School, Hebei University of Traditional Chinese Medicine, Shijiazhuang 050091, China.
W QiSchool Hospital, Hebei Normal University, Shijiazhuang 050010, China.
J GaoDepartment of Anorectal Medicine, First Affiliated Hospital of Hebei University of Traditional Chinese Medicine, Shijiazhuang 050013, China.
M TianDepartment of Anorectal Medicine, First Affiliated Hospital of Hebei University of Traditional Chinese Medicine, Shijiazhuang 050013, China.
J XuDepartment of Anorectal Medicine, First Affiliated Hospital of Hebei University of Traditional Chinese Medicine, Shijiazhuang 050013, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the mechanism of

methodsThe active ingredients and drug targets of TYX were explored using TCMSP and BATMAN databases, and the targets associated with wound healing were screened using GeneCards and OMIM databases; the intersecting drug and wound-related targets were analyzed with protein-protein interaction (PPI) analysis and GO and KEGG enrichment analyses. In 25 SD rat models with simulated anal fistula surgery, the effect of wound dressing with TYX at low, medium and high doses (once daily for 14 days) on wound healing were assessed in comparison with potassium permanganate (PP) solution. The granulation tissues collected from the wounds were examined for pathological changes with HE staining and for TNF-

resultsNetwork pharmacology analysis yielded 156 common targets between TYX and wound healing, and among them IL-1β, TNF-

conclusionTYX accelerates wound healing by down-regulating the inflammatory factors and reducing inflammation in the wounds.

Indexed as

Disease Models, AnimalDrugs, Chinese HerbalInflammationInterleukin-6Rats, Sprague-DawleyRectal FistulaTumor Necrosis Factor-alphaWound HealingAnimalsDown-RegulationGranulation TissueInterleukin-1betaMaleRatsDrugs, Chinese HerbalInterleukin-1betaInterleukin-6Tumor Necrosis Factor-alphaanal fistulainterleukinnetwork pharmacologytumor necrosis factor-αwound healing

Identifiers

PMID39051071
PMCPMC11270659

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.