Evidence map›Paper›PMID 36367332›Full record

ArticlePediatric pulmonology2023

Risk factors for recurrent respiratory tract infections and acute respiratory failure in children with spinal muscular atrophy.

Wenhui Guo, Linghui Meng, Ling Cao

Open access · hybridAbstract read
In one paragraph

Article in Pediatric pulmonology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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  4. 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

3 authors at 1 institution in 2 countries.

Wenhui GuoDepartment of Pulmonology, Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing, China.ORCID http://orcid.org/0000-0002-9372-650X
Linghui MengCenter for Evidence-Based Medicine, Capital Institute of Pediatrics, Beijing, China.
Ling CaoDepartment of Pulmonology, Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing, China.ORCID http://orcid.org/0000-0001-5633-1202
Capital Institute of Pediatrics · CN

Funding

Capital Health Development Research Project
6 · The paper itself

Abstract

introductionAssessment of and intervention for sleep-disordered breathing and malnutrition are related to the prevention of recurrent respiratory tract infections (RRTIs) and acute respiratory failure (ARF) in children with spinal muscular atrophy (SMA). However, specific standards for sleep-disordered breathing and malnutrition in the prevention of RRTIs and ARF have not been clarified. PURPOSE: The study aimed to identify the risk factors and predictive indices for RRTIs and/or ARF in children with SMA.

methodsIn this retrospective study, the differences in clinical characteristics between patients with and without RRTIs and ARF were compared, and binary logistic regression analysis was carried out. The optimal cutoff points for positive predictors were obtained.

resultsSMA type 1 (odds ratio (OR) = 5.21, 95% confidence interval (CI) 1.50-18.17, p = 0.010) and the apnea-hypopnea index (AHI) (OR = 1.12, 95% CI 1.01-1.24, p = 0.026) were risk factors, while the body mass index z score (BMIz) (OR = 0.65, 95% CI 0.46-0.91, p = 0.013) and mean pulse oxygen saturation (MSpO

conclusionSMA type 1, BMIz, AHI and MSpO

Indexed as

Muscular Atrophy, SpinalRespiratory InsufficiencyRespiratory Tract InfectionsSleep Apnea SyndromesSpinal Muscular Atrophies of ChildhoodChildHumansRetrospective StudiesRisk Factorsacute respiratory failurepolysomnographyrespiratory tract infectionrisk factorsspinal muscular atrophy in children

Identifiers

PMID36367332
PMCPMC10098738
OpenAlexW4308766058

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.