Evidence map›Paper›PMID 25745433›Full record

ArticleNeural regeneration research2012

The gap junction blocker carbenoxolone enhances propofol and sevoflurane-induced loss of consciousness.

Zhigang Liu, Yongfang Liu, Bo Zhao, Li Du, Zhongyuan Xia, Xiangdong Chen, Tao Luo

Abstract read
In one paragraph

Article in Neural regeneration research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact, top 99% 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, 3 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Zhigang LiuDepartment of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, China.
Yongfang LiuDepartment of Anesthesiology, Wuhan First Hospital, Wuhan 430022, Hubei Province, China.
Bo ZhaoDepartment of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, China.
Li DuDepartment of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, China.
Zhongyuan XiaDepartment of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, China.
Xiangdong ChenDepartment of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, China.
Tao LuoDepartment of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, China.
Renmin Hospital of Wuhan University · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

General anesthetics induce loss of consciousness by inhibiting ascending arousal pathways, and they interfere with gap junction electrical coupling. The present study aimed to determine whether inhibition of gap junction-mediated signaling could influence general anesthetic-induced loss of consciousness. The general anesthetics sevoflurane and propofol were used. Intracerebroventricular administration of carbenoxolone, a gap junction blocker, significantly decreased the time to loss of the righting reflex (P < 0.05), but prolonged the time to recovery of the reflex (P < 0.05). Moreover, intracerebroventricular administration of carbenoxolone increased the sensitivity to sevoflurane, with a leftward shift of the loss of righting reflex dose-response curve, and decreased the 50% effective concentration of sevoflurane. These results suggest that the gap junction blocker carbenoxolone enhances propofol and sevoflurane-mediated general anesthesia.

Indexed as

blockergap junctiongeneral anesthesianerve blockneuropharmacologypropofolsevoflurane

Identifiers

PMID25745433
PMCPMC4348993
OpenAlexW31254175

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.