Evidence map›Paper›PMID 34020730›Full record

ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2021

[Predictors of hospitalization plus airway support among infants with recurrent wheezing in the emergency department].

Buendía Jefferson Antonio, Acuña-Cordero Ranniery, Rodriguez-Martinez Carlos E

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In one paragraph

Article in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2021. 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, top 92% 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

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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, 0 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Buendía Jefferson AntonioDepartment of Pharmacology and Toxicology, School of Medicine, Research Group in Pharmacology and Toxicology (INFARTO), Universidad de Antioquia, Medellín, Colombia.
Acuña-Cordero Ranniery
Rodriguez-Martinez Carlos E
Universidad de Antioquia · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMost patients with recurrent wheezing are infants under 2 years of age. Clinical prediction models of the risk of receiving airway support during the hospital stay in this population have been poorly studied in tropical countries. This study aimed to evaluate the clinical predictors of hospitalization plus airway support among infants with recurrent wheezing evaluated in the emergency department in Colombia.

methodsA retrospective cohort study was performed. This study included all infants with two or more wheezing episodes who were younger than two years old in two tertiary centers in Rionegro, Colombia, between January 2019 and December 2019. The primary outcome measure was hospitalization plus any airway support. A multivariable logistic regression model was used to identify factors independently associated with hospitalization plus any airway support.

resultsA total of 85 infants were hospitalized plus any airway support, of whom 34(40%) were treated with high flow nasal canula, 2(2%) received non-invasive ventilation, 6(7%) were mechanically ventilated, and 43 (51%) received conventional oxygen therapy. The multivariable logistic regression model showed that predictors of hospitalization plus airway support included prematurity (

conclusionsThe present study shows that prematurity, poor feeding, nasal flaring and/or grunting, and more than one previous episode of wheezing requiring hospitalization are independent predictors of hospitalization plus airway support in a population of infants with recurrent wheezing in the emergency department. More evidence must be collected to examine the results in other tropical countries.

Indexed as

HospitalizationRespiratory SoundsChild, PreschoolEmergency Service, HospitalHumansInfantInfant, NewbornRecurrenceRetrospective Studies

Identifiers

PMID34020730
PMCPMC8140345
OpenAlexW3162715852

What OpenQuestion holds

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Registered trials

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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.