Evidence map›Paper›PMID 39677195›Full record

ArticleCureus2024

Anesthetic Consideration for Modified Electroconvulsive Therapy in an Adolescent With Uncorrected Atrial Septal Defect: A Case Report.

Vikash Bansal, Kausiki Poddar, Sanjay Kumar, Rishabh Jaju, Habib Md R Karim

Abstract readCase Reports
In one paragraph

Article in Cureus, 2024. 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

5 authors.

Vikash BansalAnaesthesiology, Critical Care and Pain Medicine, All India Institute of Medical Sciences, Deoghar, IND.
Kausiki PoddarAnaesthesiology, Critical Care and Pain Medicine, All India Institute of Medical Sciences, Deoghar, IND.
Sanjay KumarAnaesthesiology, Critical Care and Pain Medicine, All India Institute of Medical Sciences, Deoghar, IND.
Rishabh JajuAnaesthesiology, Critical Care and Pain Medicine, All India Institute of Medical Sciences, Deoghar, IND.
Habib Md R KarimAnaesthesiology, Critical Care and Pain Medicine, All India Institute of Medical Sciences, Guwahati, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Catatonia is a serious neuropsychiatric syndrome of motor and behavioral dysfunction where electroconvulsive therapy (ECT) is a well-proven treatment modality. ECT is also preferred as it is a low-risk procedure compared to chronic medications having significant side effects. However, the cardiovascular events that occur during ECT are a major cause of morbidity and mortality in patients with an abnormal cardiovascular pathophysiology. Hence, ECT administration in patients with cardiac diseases remains debatable. Limited literature is present on the use of ECT in a patient with congenital heart disease, especially in uncorrected Atrial Septal Defect (ASD), which is considered a high-risk constellation for an ECT treatment. The goal of anesthetic management in such patients is to maintain pulmonary vascular resistance while slightly reducing the systemic vascular resistance. Currently, modified ECT is performed to reduce the electrical stimulation-related musculoskeletal complications, where the ECT is performed under anesthesia and muscle relaxant. Here we present a case of an 18-year-old male with catatonia with persistent mutism with ASD who underwent six cycles of modified ECT safely. The case highlights the safe use of ECT in uncorrected ASD and the need for a multidisciplinary team.

Indexed as

atrial septal defect (asd)bfcrs scorescongenital heart diseaseselectroconvulsive therapy (ect)etomidate

Identifiers

PMID39677195
PMCPMC11646474

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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.