Evidence map›Paper›PMID 25589889›Full record

ArticleInternational journal of medical sciences2015

Antipsychotics-associated serious adverse events in children: an analysis of the FAERS database.

Goji Kimura, Kaori Kadoyama, J B Brown, Tsutomu Nakamura, Ikuya Miki, Kohshi Nisiguchi, Toshiyuki Sakaeda, Yasushi Okuno

Open access · goldAbstract read
In one paragraph

Article in International journal of medical sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 46 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Goji Kimura1. Center for Integrative Education in Pharmacy and Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan.
Kaori Kadoyama1. Center for Integrative Education in Pharmacy and Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan.
J B Brown2. Department of Clinical System Onco-Informatics, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan.
Tsutomu Nakamura3. Kobe University Graduate School of Medicine, Kobe 650-0017, Japan.
Ikuya Miki3. Kobe University Graduate School of Medicine, Kobe 650-0017, Japan.
Kohshi Nisiguchi3. Kobe University Graduate School of Medicine, Kobe 650-0017, Japan ; 4. Faculty of Pharmaceutical Sciences, Kyoto Pharmaceutical University, Kyoto 607-8414, Japan.
Toshiyuki Sakaeda1. Center for Integrative Education in Pharmacy and Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan ; 4. Faculty of Pharmaceutical Sciences, Kyoto Pharmaceutical University, Kyoto 607-8414, Japan.
Yasushi Okuno2. Department of Clinical System Onco-Informatics, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan.
Kyoto Pharmaceutical University · JPKobe University · JPKyoto University · JPKobe Pharmaceutical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe reports submitted to the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) from 1997 to 2011 were reviewed to assess serious adverse events induced by the administration of antipsychotics to children.

methodsFollowing pre-processing of FAERS data by elimination of duplicated records as well as adjustments to standardize drug names, reports involving haloperidol, olanzapine, quetiapine, clozapine, ziprasidone, risperidone, and aripiprazole were analyzed in children (age 0-12). Signals in the data that signified a drug-associated adverse event were detected via quantitative data mining algorithms. The algorithms applied to this study include the empirical Bayes geometric mean, the reporting odds ratio, the proportional reporting ratio, and the information component of a Bayesian confidence propagation neural network. Neuroleptic malignant syndrome (NMS), QT prolongation, leukopenia, and suicide attempt were focused on as serious adverse events.

resultsIn regard to NMS, the signal scores for haloperidol and aripiprazole were greater than for other antipsychotics. Significant signals of the QT prolongation adverse event were detected only for ziprasidone and risperidone. With respect to leukopenia, the association with clozapine was noteworthy. In the case of suicide attempt, signals for haloperidol, olanzapine, quetiapine, risperidone, and aripiprazole were detected.

conclusionsIt was suggested that there is a level of diversity in the strength of the association between various first- and second-generation antipsychotics with associated serious adverse events, which possibly lead to fatal outcomes. We recommend that research be continued in order to gather a large variety and quantity of related information, and that both available and newly reported data be placed in the context of multiple medical viewpoints in order to lead to improved levels of care.

Indexed as

Databases, FactualAlgorithmsAntipsychotic AgentsAripiprazoleBenzodiazepinesData MiningDibenzothiazepinesHaloperidolHumansOlanzapinePiperazinesQuetiapine FumarateQuinolonesThiazolesAntipsychotic AgentsAripiprazoleBenzodiazepinesDibenzothiazepinesHaloperidolOlanzapinePiperazinesQuetiapine FumarateQuinolonesThiazolesziprasidoneantipsychoticschildrendata miningFAERSpharmacovigilanceserious adverse events

Identifiers

PMID25589889
PMCPMC4293178
OpenAlexW2099138249

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.