Evidence map›Paper›PMID 38617037›Full record

ArticleNature and science of sleep2024

Exploring the Multifaceted Landscape of Pediatric Obstructive Sleep Apnea: Insights into Prevalence, Severity, and Coexisting Conditions.

Qin Yang, Xiao Huang, Yanhong Lin, Ke Chen, Qinghua Lu, Weinan Lin, Xing Wang, Yishu Teng, Peng Jiang, Sandip Patil and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature and science of sleep, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Qin YangDepartment of Respiratory Medicine, Shenzhen Children's Hospital, Shenzhen, Guangdong Province, People's Republic of China.
Xiao HuangDepartment of Sleep Centre, Shenzhen Children's Hospital, Shenzhen, Guangdong Province, People's Republic of China.
Yanhong LinDepartment of Respiratory Medicine, Shenzhen Children's Hospital, Shenzhen, Guangdong Province, People's Republic of China.
Ke ChenDepartment of Respiratory Medicine, Shenzhen Children's Hospital, Shenzhen, Guangdong Province, People's Republic of China.ORCID 0009-0009-8931-1342
Qinghua LuDepartment of Respiratory Medicine, Shenzhen Children's Hospital, Shenzhen, Guangdong Province, People's Republic of China.
Weinan LinDepartment of Respiratory Medicine, Shenzhen Children's Hospital, Shenzhen, Guangdong Province, People's Republic of China.
Xing WangDepartment of Sleep Centre, Shenzhen Children's Hospital, Shenzhen, Guangdong Province, People's Republic of China.
Yishu TengDepartment of Haematology and Oncology, Shenzhen Children's Hospital, Shenzhen, Guangdong Province, People's Republic of China.
Peng JiangDepartment of Haematology and Oncology, Shenzhen Children's Hospital, Shenzhen, Guangdong Province, People's Republic of China.
Sandip PatilDepartment of Haematology and Oncology, Shenzhen Children's Hospital, Shenzhen, Guangdong Province, People's Republic of China.ORCID 0000-0003-2736-9206
Yuejie ZhengDepartment of Respiratory Medicine, Shenzhen Children's Hospital, Shenzhen, Guangdong Province, People's Republic of China.
Shenzhen Children's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pediatric obstructive sleep apnea (OSA) is a multifaceted disorder marked by recurrent upper airway obstruction during sleep, often coexisting with various medical conditions. This study, aimed to comprehensively analyze the Multifaceted Landscape of Pediatric Insights into Prevalence, Severity, and Coexisting Conditions. With a sample of 1928 participants, our study sought to determine the prevalence, severity, and associations between OSA and diverse conditions. Methods: Conducted retrospectively from February 2019 to April 2023, the study included pediatric patients. Data were collected through electronic health records, involving clinical assessments, medical histories, and diagnostic tests to establish OSA and coexisting condition diagnoses. Relationships between sleep parameters, apnea types, and severity indices were evaluated. Results: High OSA prevalence was evident across age groups, with severity peaking between 3 to 12 years. Among the participants, coexisting conditions included allergic rhinitis (59.6%), tonsillar hypertrophy (49.7%), adenoid hypertrophy (28.4%), and obesity (15.3%). Analysis revealed intriguing relationships between different sleep parameters and apnea types. Notable associations were observed between Obstructive Apnea (OA) and Central Apnea (CA), and Mixed Apnea (MA) displayed associations with both OA and CA. Hypopnea correlated directly with the Apnea-Hypopnea Index (AHI), reflecting its role in OSA severity. Conclusion: This study provides a comprehensive understanding of the intricate dynamics between pediatric OSA and coexisting conditions. The prevalence of OSA and its coexistence with various conditions underscore the need for comprehensive evaluation and management strategies. By revealing associations between different sleep parameters and apnea types, the study emphasizes the complexity of OSA diagnosis and management. These findings hold the potential to enhance clinical approaches, ultimately leading to improved care and outcomes for affected children.

Indexed as

clinical analysiscoexisting conditionscomprehensive evaluationmanagementoutcomespediatric obstructive sleep apneaprevalencerelationshipsseveritysleep parameters

Identifiers

PMID38617037
PMCPMC11012695
OpenAlexW4394577926

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.