Evidence map›Paper›PMID 35734202›Full record

ArticleJournal of pediatric intensive care2022

Evaluation of Pediatric Delirium Awareness and Management in Pediatric Intensive Care Units in Turkey.

Capan Konca, Ayse Berna Anil, Emine Pinar Küllüoglu, Doga Luleyap, Murat Anil, Mehmet Tekin

Open access · greenAbstract read
In one paragraph

Article in Journal of pediatric intensive care, 2022. 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
0.1field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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 3 institutions in 1 country.

Capan KoncaDivision of Pediatric Intensive Care Unit, Department of Pediatrics, Tepecik Training and Research Hospital, Izmir, Turkey.ORCID 0000-0001-8625-9045
Ayse Berna AnilDepartmentof Pediatric Intensive Care, School of Medicine, Izmir Katip Celebi University, Izmir, Turkey.
Emine Pinar KüllüogluDivision of Pediatric Intensive Care Unit, Department of Pediatrics, Tepecik Training and Research Hospital, Izmir, Turkey.
Doga LuleyapDivision of Pediatric Intensive Care Unit, Department of Pediatrics, Tepecik Training and Research Hospital, Izmir, Turkey.
Murat AnilDepartment of Pediatrics, School of Medicine, Izmir Democracy University, Izmir, Turkey.
Mehmet TekinDepartment of Pediatrics, School of Medicine, Inonu University, Malatya, Turkey.
Izmir Kâtip Çelebi University · TRInonu University · TRIzmir University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delirium has been associated with prolonged pediatric intensive care unit (PICU) stay and mechanical ventilation times as well as high hospital costs and mortality rates. This work aimed to examine pediatric delirium awareness and delirium management in Turkey. A total of 19 physicians responsible for their respective PICUs completed the survey. Most of the units (57.9%) did not use any assessment tool. Varying measures were applied in different units to reduce the prevalence of delirium. The number of units that continuously measured noise was very low (15.8%). Eye mask and earpiece usage rates were also very low. In pharmacological treatment, haloperidol, dexmedetomidine, benzodiazepines, and atypical antipsychotics were the most preferred options. Some units have reached a sufficient level of pediatric delirium awareness and management. However, insufficiencies in delirium awareness and management remain in general.

Indexed as

AwarenessdeliriummanagementpediatricTurkey

Identifiers

PMID35734202
PMCPMC9208846
OpenAlexW3112976124

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.