Evidence map›Paper›PMID 36340703›Full record

ArticleFrontiers in pediatrics2022

A novel nomogram for predicting respiratory adverse events during transport after interventional cardiac catheterization in children.

Chaoyang Tong, Peiwen Liu, Kan Zhang, Ting Liu, Jijian Zheng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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.

Chaoyang TongDepartment of Anesthesiology, Shanghai Children's Medical Center, School of Medicine and National Children's Medical Center, Shanghai Jiao Tong University, Shanghai, China.
Peiwen LiuDepartment of Anesthesiology, Shanghai Children's Medical Center, School of Medicine and National Children's Medical Center, Shanghai Jiao Tong University, Shanghai, China.
Kan ZhangDepartment of Anesthesiology, Shanghai Children's Medical Center, School of Medicine and National Children's Medical Center, Shanghai Jiao Tong University, Shanghai, China.
Ting LiuDepartment of Anesthesiology, Shanghai Children's Medical Center, School of Medicine and National Children's Medical Center, Shanghai Jiao Tong University, Shanghai, China.
Jijian ZhengDepartment of Anesthesiology, Shanghai Children's Medical Center, School of Medicine and National Children's Medical Center, Shanghai Jiao Tong University, Shanghai, China.
Shanghai Jiao Tong University · CNShanghai Children's Medical Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The rate and predictors of respiratory adverse events (RAEs) during transport discharged from operating room after interventional cardiac catheterization in children remain unclear. This study aimed to investigate the incidence and predictors, and to construct a nomogram for predicting RAEs during transport in this pediatric surgical treatment. Methods: This prospective cohort study enrolled 290 consecutive pediatric patients who underwent ventricular septal defects (VSD), atrial septal defects (ASD), and patent ductus arteriosus (PDA) between February 2019 and December 2020. Independent predictors were used to develop a nomogram, and a bootstrap resampling approach was used to conduct internal validation. Composite RAEs were defined as the occurrence of at least 1 complication regarding laryngospasm, bronchospasm, apnea, severe cough, airway secretions, airway obstruction, and oxygen desaturation. Results: The rate of RAEs during transport was 23.1% (67 out of 290). Multivariate analysis identified age (vs. ≤3 years, adjusted odds ratio (aOR) = 0.507, 95% confidence interval (CI), 0.268-0.958, Conclusion: The high rate of RAEs during transport reminds us of the need for more medical care and attention. The proposed nomogram can reliably identify pediatric patients at high risk of RAEs during transport and guide clinicians to make proper transport plans. Our findings have important and meaningful implications for RAEs risk prediction, clinical intervention and healthcare quality control.

Indexed as

cardiac catheterizationchildrennomogrampredictorsrespiratory adverse events

Identifiers

PMID36340703
PMCPMC9631021
OpenAlexW4306944756

What OpenQuestion holds

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LicenceCC BY
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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.