Evidence map›Paper›PMID 31772948›Full record

ReviewJournal of immunology research2019

Effects of Anesthetics on Barrier Tissue Function.

Fujing Wang, Yanhui Li, Changlei Cui, Zhaoping Xue, Haichun Ma

Open access · goldAbstract readReview
In one paragraph

Review in Journal of immunology research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 45% 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. Observational
  2. Review
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 at 1 institution in 1 country.

Fujing WangDepartment of Anesthesia, The First Hospital of Jilin University, No. 71 Xinmin Street, Changchun, Jilin Province 130021, China.ORCID https://orcid.org/0000-0002-6381-5309
Yanhui LiDepartment of Anesthesia, The First Hospital of Jilin University, No. 71 Xinmin Street, Changchun, Jilin Province 130021, China.
Changlei CuiDepartment of Anesthesia, The First Hospital of Jilin University, No. 71 Xinmin Street, Changchun, Jilin Province 130021, China.
Zhaoping XuePostanesthesia Care Unit, The First Hospital of Jilin University, No. 71 Xinmin Street, Changchun, Jilin Province 130021, China.
Haichun MaDepartment of Anesthesia, The First Hospital of Jilin University, No. 71 Xinmin Street, Changchun, Jilin Province 130021, China.ORCID https://orcid.org/0000-0002-8467-5421
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anesthetics have long been proven to have additional effects other than anesthesia on different organs and tissues of the human body. Barrier tissues play critical roles in human health and diseases, yet the impacts of anesthetics on barrier tissues are still not clear. This review article is aimed at summarizing different effects of anesthetics on the skin, the respiratory, and intestinal membranes from two aspects: inflammation/immunity and ischemia-reperfusion. Among volatile, intravenous, and local anesthetics, volatile anesthetics are less influential on barrier ischemia-perfusion function. Although direct comparisons between volatile and the other two types of anesthetics are still lacking, volatile anesthetics appear to have stronger anti-inflammatory effects on different barrier tissues through various mechanisms. These results suggested that when treating patients with barrier tissue complications, volatile anesthetics can provide better therapeutic outcomes.

Indexed as

AnestheticsAnimalsEpitheliumHumansMucous MembraneAnesthetics

Identifiers

PMID31772948
PMCPMC6854914
OpenAlexW2980742401

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.