Evidence map›Paper›PMID 38433128›Full record

ArticleJA clinical reports2024

Successful intraoperative management of laparoscopic hysterectomy in a patient with Eisenmenger syndrome: a case report.

Yuki Maeda, Nami Kakuta, Asuka Kasai, Hiroki Yonezawa, Ryosuke Kawanishi, Katsuya Tanaka

Open access · goldAbstract read
In one paragraph

Article in JA clinical reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 96% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Yuki Maeda *Department of Anesthesiology, Tokushima University, 3-18-15, Kuramoto, Tokushima, 770-8503, Japan. c000029240@tokushima-u.ac.jp.
Nami Kakuta *Department of Anesthesiology, Tokushima University, 3-18-15, Kuramoto, Tokushima, 770-8503, Japan.
Asuka KasaiDivision of Surgical Center, Tokushima University Hospital, Tokushima, Japan.
Hiroki YonezawaDepartment of Anesthesiology, Tokushima University, 3-18-15, Kuramoto, Tokushima, 770-8503, Japan.
Ryosuke KawanishiDivision of Surgical Center, Tokushima University Hospital, Tokushima, Japan.
Katsuya TanakaDepartment of Anesthesiology, Tokushima University, 3-18-15, Kuramoto, Tokushima, 770-8503, Japan.
Tokushima University · JPTokushima University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with Eisenmenger syndrome (ES) requiring noncardiac surgery are at a significantly high risk of perioperative morbidity and mortality. However, perioperative management of patients with ES requiring laparoscopic surgery remains unclear. CASE PRESENTATION: We describe the case of a patient with ES who underwent laparoscopic hysterectomy under general anesthesia with a peripheral nerve block. The objectives of the perioperative management included the following: (1) maintaining systemic vascular resistance and cardiac output through euvolemia, facilitated by the infusion of noradrenaline, and (2) preventing a reduction in oxygen-carrying capacity and factors that elevate pulmonary vascular resistance, such as pain, hypoxia, and decreased body temperature. Although laparoscopic procedures involved an increased risk in patients with ES, they are less invasive than open surgeries.

conclusionThis report describes the successful anesthetic management of a patient with ES, ensuring a balance between systemic and pulmonary vascular resistance.

Indexed as

Eisenmenger syndromeGeneral anesthesiaLaparoscopic surgery

Identifiers

PMID38433128
PMCPMC10909790
OpenAlexW4392401978

What OpenQuestion holds

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LicenceCC BY
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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.