Evidence map›Paper›PMID 33402138›Full record

ArticleBMC neurology2021

Predictors of pediatric readmissions among patients with neurological conditions.

Ryan O'Connell, William Feaster, Vera Wang, Sharief Taraman, Louis Ehwerhemuepha

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Development of a Discharge Counseling and Medication Reconciliation Process for Pediatric Patients Within a Large, Academic Health System.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2024
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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

5 authors at 2 institutions in 1 country.

Ryan O'ConnellSharon Disney Lund Medical Intelligence and Innovation Institute (MI3) at CHOC, Orange, California, USA.
William FeasterSharon Disney Lund Medical Intelligence and Innovation Institute (MI3) at CHOC, Orange, California, USA.
Vera WangSharon Disney Lund Medical Intelligence and Innovation Institute (MI3) at CHOC, Orange, California, USA.
Sharief TaramanSharon Disney Lund Medical Intelligence and Innovation Institute (MI3) at CHOC, Orange, California, USA.
Louis EhwerhemuephaSharon Disney Lund Medical Intelligence and Innovation Institute (MI3) at CHOC, Orange, California, USA. lehwerhemuepha@choc.org.ORCID http://orcid.org/0000-0003-1369-7954
Children's Hospital of Orange County · USHamilton College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnplanned readmission is one of many measures of the quality of care of pediatric patients with neurological conditions. In this multicenter study, we searched for novel risk factors of readmission of patients with neurological conditions.

methodsWe retrieved hospitalization data of patients less than 18 years with one or more neurological conditions. This resulted in a total of 105,834 encounters from 18 hospitals. We included data on patient demographics, prior healthcare resource utilization, neurological conditions, number of other conditions/diagnoses, number of medications, and number of surgical procedures performed. We developed a random intercept logistic regression model using stepwise minimization of Akaike Information Criteria for variable selection.

resultsThe most important neurological conditions associated with unplanned pediatric readmissions include hydrocephalus, inflammatory diseases of the central nervous system, sleep disorders, disease of myoneural junction and muscle, other central nervous system disorder, other spinal cord conditions (such as vascular myelopathies, and cord compression), and nerve, nerve root and plexus disorders. Current and prior healthcare resource utilization variables, number of medications, other diagnoses, and certain inpatient surgical procedures were associated with changes in odds of readmission. The area under the receiver operator characteristic curve (AUROC) on the independent test set is 0.733 (0.722, 0.743).

conclusionsPediatric patients with certain neurological conditions are more likely to be readmitted than others. However, current and prior healthcare resource utilization remain some of the strongest indicators of readmission within this population as in the general pediatric population.

Indexed as

Nervous System DiseasesPatient ReadmissionChildFemaleHumansMaleRetrospective StudiesRisk FactorsIndicatorsNeurologyPediatricPredictorsReadmission

Identifiers

PMID33402138
PMCPMC7784269
OpenAlexW3120674121

What OpenQuestion holds

Textmetadata
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.