Evidence map›Paper›PMID 36275969›Full record

ArticleComputational intelligence and neuroscience2022

A Study on THE Mechanism of Electroacupuncture to Alleviate Visceral Pain and NGF Expression.

Dongdong Liang, Yelong Ren, Ledan Huang, Shenhui Jin

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Computational intelligence and neuroscience, 2022. 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 It has been retracted, and should not be counted.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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Dongdong LiangDepartment of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang, China.ORCID https://orcid.org/0000-0001-7263-5126
Yelong RenDepartment of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang, China.ORCID https://orcid.org/0000-0002-2315-3240
Ledan HuangDepartment of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang, China.ORCID https://orcid.org/0000-0002-6376-4919
Shenhui JinDepartment of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang, China.ORCID https://orcid.org/0000-0002-1554-7215
Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visceral pain is unbearable, and natural methods are needed to relieve it. Electroacupuncture is a relatively new technique that helps relieve visceral pain by improving blood circulation and providing energy to clogged parts of the body. However, its analgesic effect and mechanism in colorectal pain are still unknown. In this study, the visceral pain models of electroacupuncture in rats were compared and discussed, using nanocomponents to stimulate the expression and mechanism of the nerve growth factor in colorectal pain and electroacupuncture and to observe the expression and mechanism of nerve growth factor in visceral pain relief rats induced by nanocomponents and electroacupuncture. The results show that nanocomponents can effectively relieve visceral pain under the action of electroacupuncture. NGF can activate endogenous proliferation, migration, differentiation, and integration. NSC can promote nerve regeneration and recovery after injury.

Indexed as

Colorectal NeoplasmsElectroacupunctureVisceral PainAnalgesicsAnimalsNerve Growth FactorRatsRats, Sprague-DawleyAnalgesicsNerve Growth Factor

Identifiers

PMID36275969
PMCPMC9586762
OpenAlexW4306249691

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.