Evidence map›Paper›PMID 34943397›Full record

ArticleChildren (Basel, Switzerland)2021

Neuroleptic Malignant Syndrome in Children with Autism Spectrum Disorder (ASD): A Case Report and Brief Review of Recent Literature.

Stefano Berloffa, Claudia Dosi, Benedetta Tascini, Beatrice Fossati, Ilaria Lupetti, Gabriele Masi

Open access · goldAbstract readCase Reports
In one paragraph

Article in Children (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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.

Stefano BerloffaIRCCS Stella Maris, Scientific Institute of Child Neurology and Psychiatry, 56128 Pisa, Italy.
Claudia DosiIRCCS Stella Maris, Scientific Institute of Child Neurology and Psychiatry, 56128 Pisa, Italy.
Benedetta TasciniDepartment of Woman's and Children's Health, Padua University Hospital, 35128 Padua, Italy.
Beatrice FossatiIRCCS Stella Maris, Scientific Institute of Child Neurology and Psychiatry, 56128 Pisa, Italy.
Ilaria LupettiIRCCS Stella Maris, Scientific Institute of Child Neurology and Psychiatry, 56128 Pisa, Italy.
Gabriele MasiIRCCS Stella Maris, Scientific Institute of Child Neurology and Psychiatry, 56128 Pisa, Italy.
Fondazione Stella Maris · ITUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroleptic malignant syndrome (NMS) is a rare, life-threatening, idiosyncratic adverse reaction to antipsychotic drugs. Despite the increasing rates in the prescription of antipsychotics in pediatric patients with autism spectrum disorder (ASD), little is known about the occurrence and hallmarks of NMS in this specific population. NMS appears to be part of the larger catatonia domain, based on the frequent relationship between ASD and catatonia, on the shared, when not overlapping, clinical features with malignant catatonia, and on the effectiveness of catatonia treatments on the NMS/MC symptoms. The intrinsic difficulties of exploring NMS in ASD in controlled studies accounts for the subsequent lack of available information. Based on recent reports and on our case report, clinical features of NMS in the pediatric ASD population appear to be the same as the non-ASD population. Further studies are needed to confirm these results.

Indexed as

autism spectrum disorder (ASD)catatonianeuroleptic malignant syndrome (NMS)pediatric

Identifiers

PMID34943397
PMCPMC8700593
OpenAlexW4200430069

What OpenQuestion holds

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LicenceCC BY
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.