Evidence map›Paper›PMID 39193578›Full record

ArticleFrontiers in psychiatry2024

Empowering understanding: navigating consent to ketamine treatment in adolescent mental health.

Aakash Sathappan, Benjamin Yudkoff

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Aakash SathappanBoston Children's Hospital, Harvard Medical School, Boston, MA, United States.
Benjamin YudkoffBrigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rising prevalence of mental health disorders in adolescents, compounded by treatment resistance, underscores the need for innovative interventions. Ketamine, recognized for its rapid antidepressant and anti-suicidal effects in adults, has recently emerged as a potential treatment for adolescents with treatment-resistant depression and suicidality. This paper aims to highlight key elements of the informed consent process, including obtaining parental consent and adolescent assent, and discussing the nature of ketamine treatment, its benefits, and potential risks. Obtaining informed consent for ketamine treatment in this demographic poses unique challenges. During the informed consent process, clinicians should balance an adolescent's growing autonomy with parental consent and address the distinct features of treatment, including ketamine's potential to induce psychedelic-like effects. Additionally, clinicians should highlight the "off-label" use in this population and the uncertainty inherent to treatment at this time, including the lack of data on repeated ketamine exposure on the developing brain. This paper also addresses challenging scenarios related to informed consent for this treatment, such as instances when parents are willing to consent but the adolescent refuses. Alternative treatment strategies such as transcranial magnetic stimulation (TMS) and electroconvulsive therapy (ECT) are also considered. In conclusion, while an emerging body of evidence suggests that ketamine shows potential for the acute treatment of adolescents with severe depression and suicidality, adherence to informed consent principles is paramount to ensure best clinical practices and uphold ethical standards amidst the current landscape of ongoing research.

Indexed as

adolescentdepressionethicsinformed consentketamine

Identifiers

PMID39193578
PMCPMC11347886

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.