Evidence mapPaperPMID 41003890Full record

Observational studySleep & breathing = Schlaf & Atmung2025

Predicting treatment success in pediatric mild-to-moderate OSA: real-world evidence from a model based on polysomnographic parameters.

Yuanming Wang, Chen Cheng

Abstract readObservational Study
In one paragraph

Observational study in Sleep & breathing = Schlaf & Atmung, 2025. 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
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Yuanming WangDepartment of Otolaryngology Head and Neck Surgery, Affiliated Dongguan Maternal & Child Healthcare Hospital, No 99. Zhenxing Road, Dongguan, 523120, Guangdong Province, China. yuanm-wang@ldy.edu.rs.ORCID 0009-0007-0970-9736
Chen ChengDepartment of Otolaryngology Head and Neck Surgery, Affiliated Dongguan Maternal & Child Healthcare Hospital, No 99. Zhenxing Road, Dongguan, 523120, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPediatric mild-to-moderate obstructive sleep apnea (OSA) is often treated with intranasal corticosteroids (INCS), but response rates vary. Identifying early predictors of treatment success may facilitate individualized therapy.

methodsWe conducted a single-center, two-phase observational study to develop and validate a predictive model for INCS response in children aged 3-12 years with mild-to-moderate OSA, defined by a baseline apnea-hypopnea index (AHI) of 1.0-10.0 events/hour. The derivation cohort (n = 175) was retrospectively enrolled between 2019 and 2023. A prospective validation cohort (n = 60) was recruited between 2024 and 2025 using identical diagnostic and treatment protocols. All patients received standardized INCS therapy. Treatment response was defined as a ≥ 50% reduction in AHI along with improvement in clinical symptoms at 6-9 months follow-up.

resultsCandidate predictors were extracted from baseline clinical and polysomnographic (PSG) parameters. Multivariable logistic regression was used to identify independent predictors. A predictive nomogram model was constructed based on these variables and externally validated in the prospective cohort. The model demonstrated good calibration and discrimination.

conclusionThis study presents a validated nomogram model based on PSG and clinical parameters to predict treatment response to INCS in pediatric OSA, supporting early decision-making and personalized treatment strategies.

Indexed as

Adrenal Cortex HormonesPolysomnographySleep Apnea, ObstructiveAdministration, IntranasalChildChild, PreschoolFemaleHumansMaleNomogramsProspective StudiesRetrospective StudiesTreatment OutcomeAdrenal Cortex HormonesIntranasal corticosteroidsPediatric obstructive sleep apneaPolysomnography-based prediction modelReal-world evidence

Identifiers

PMID41003890
PMCPMC12474685

What Socratic 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 Socratic graph.