Evidence map›Paper›PMID 38707604›Full record

ArticleClinical case reports2024

Multiple extreme overdose of antipsychotics with minimal side effects: A case report.

Min Yang, Yudong Cao, Haishan Wu, Li Zhang

Abstract readCase Reports
In one paragraph

Article in Clinical case 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
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.

  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

4 authors.

Min YangDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders The Second Xiangya Hospital of Central South University Changsha Hunan China.ORCID https://orcid.org/0000-0002-1705-9733
Yudong CaoKangning Psychiatric Hospital Linwu County Chenzhou China.
Haishan WuDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders The Second Xiangya Hospital of Central South University Changsha Hunan China.
Li ZhangDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders The Second Xiangya Hospital of Central South University Changsha Hunan China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Key Clinical Message: Antipsychotic drug treatment is a commonly used therapeutic strategy in the field of psychiatry. Rational and standardized use of antipsychotics is crucial in clinical practice, and excessive use of antipsychotics may lead to severe toxic reactions. Thus, attention should be given to the monitoring of drug concentration and examination of organ function. Abstract: Excessive use of antipsychotics can cause a variety of adverse effects, including dysfunction of the liver and other organs. Liver cytochrome P450 (CYP450) enzymes play an important role in the metabolism of antipsychotics, and metabolizer types of CYP450 enzymes may influence the therapeutic effects. In this case report, we introduced a 52-year-old woman with a 23-year history of schizophrenia who took excessive doses of multiple antipsychotics and other herbal preparations for nearly 2 years, with poor response to treatment and minor side reactions to the antipsychotics. Pharmacogenomic examination showed that this patient was a CYP1A2 ultra-rapid metabolizer. The examination and treatment of this patient may provide a reference for the management of similar cases with poor response to an alarming tolerance for antipsychotics.

Indexed as

antipsychotic overdoseCYP1A2schizophreniaside effectsultra‐rapid metabolizer

Identifiers

PMID38707604
PMCPMC11068933

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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.