Evidence map›Paper›PMID 24082815›Full record

ArticlePaediatrics & child health2012

[Not Available].

Josephine Ho, Constadina Panagiotopoulos, Brian McCrindle, Silviu Grisaru, Tamara Pringsheim

Abstract readEnglish Abstract
In one paragraph

Article in Paediatrics & child health, 2012. 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.

Josephine HoDépartement de pédiatrie, université de Calgary, Calgary (Alberta);
Constadina Panagiotopoulos
Brian McCrindle
Silviu Grisaru
Tamara Pringsheim

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSecond-generation antipsychotics are commonly associated with metabolic complications. These medications are being used more frequently for the treatment of mental health disorders in children, which has stimulated the need for creating formal guidelines on monitoring their safety and effectiveness. Previous guidelines have been developed for monitoring metabolic and neurological complications. To assist practitioners who perform these monitoring procedures, a complementary set of treatment recommendations have been created for situations in which abnormal measurements or results are encountered.

objectiveTo create evidence-based recommendations to assist in managing metabolic complications in children being treated with second-generation antipsychotics.

methodsA systematic review of the literature on metabolic complications of second-generation antipsychotic medications in children was conducted. Members of the consensus group evaluated the information gathered from the systematic review of the literature and used a nominal group process to reach a consensus on treatment recommendations. Wherever possible, references were made to existing guidelines on the evaluation and treatment of metabolic abnormalities in children.

resultsEvidence-based recommendations are presented to assist in managing metabolic complications including weight gain; increased waist circumference; elevation in prolactin, cholesterol, triglyceride and glucose levels; abnormal liver function tests; and abnormal thyroid studies.

conclusionThe use of second-generation antipsychotics requires proper monitoring procedures. The present treatment guideline provides guidance to clinicians on the clinical management of metabolic complications if they occur.

Indexed as

Antipsychotic medicationsChildrenMetabolic syndrome

Identifiers

PMID24082815
PMCPMC3486686

What OpenQuestion holds

Textmetadata
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.