Evidence map›Paper›PMID 38919693›Full record

ArticleJournal of pediatric intensive care2024

Creation of a Pediatric Sedation Risk Assessment Scoring System: A Novel Method to Stratify Risk.

Kevin G Couloures, Michael P Anderson, C L Hill, Allshine Chen, Mark A Buckmaster

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of pediatric intensive care, 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

5 authors.

Kevin G CoulouresDivision of Pediatric Critical Care Medicine, Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California, United States.ORCID 0000-0003-1998-7645
Michael P AndersonDepartment of Biostatistics, University of Oklahoma, Oklahoma City, Oklahoma, United States.
C L HillDuke Clinical Research Institute, Durham, North Carolina, United States.ORCID 0000-0003-4964-0693
Allshine ChenDepartment of Biostatistics, University of Oklahoma, Oklahoma City, Oklahoma, United States.
Mark A BuckmasterDepartment of Pediatrics, University of Alabama at Birmingham, Birmingham, Alabama, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to create a pediatric sedation scoring system independent of the American Society of Anesthesiology Physical Status (ASA-PS) classification that is predictive of adverse events, facilitates objective stratification, and resource allocation. Multivariable regression and machine learning algorithm analysis of 134,973 sedation encounters logged in to the Pediatric Sedation Research Consortium (PSRC) database between July 2007 and June 2011. Patient and procedure variables were correlated with adverse events with resultant

Indexed as

adverse eventspediatric procedural sedationrisk stratification

Identifiers

PMID38919693
PMCPMC11196135

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.