Evidence map›Paper›PMID 35880104›Full record

ArticleFrontiers in human neuroscience2022

Impact of Sevoflurane and Thiopental Used Over the Course of Electroconvulsive Therapy: Propensity Score Matching Analysis.

Taisuke Yatomi, Takahito Uchida, Akihiro Takamiya, Masataka Wada, Shun Kudo, Kazuki Nakajima, Hana Nishida, Bun Yamagata, Masaru Mimura, Jinichi Hirano

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Taisuke YatomiDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Takahito UchidaDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Akihiro TakamiyaDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Masataka WadaDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Shun KudoDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Kazuki NakajimaDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Hana NishidaDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Bun YamagataDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Masaru MimuraDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Jinichi HiranoDepartment of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Although anesthetics play an important role in electroconvulsive therapy (ECT), the clinical efficacy and seizure adequacy of sevoflurane in the course of ECT remain unclear. The purpose of this study was to examine the clinical efficacy and seizure adequacy of sevoflurane, compared with those of thiopental, in the course of ECT in patients with mood disorders. Methods: We conducted a retrospective chart review. Patients who underwent a course of ECT and received sevoflurane ( Results: Patients who received sevoflurane needed more stimulations (sevoflurane: 13.2 ± 4 times, thiopental: 10.0 ± 2.5 times, Conclusion: The present findings indicate that sevoflurane should be used with caution in ECT and only when the clinical rationale is clear.

Indexed as

anesthesiadepressionelectroconvulsive therapysevofluranethiopental

Identifiers

PMID35880104
PMCPMC9308003

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.