Evidence map›Paper›PMID 42701512›Full record

ArticleQuantitative imaging in medicine and surgery2026

Application of numerical simulation of upper airway flow field in pediatric obstructive sleep apnea with adenoid hypertrophy.

Yugang Jiang, Wei Chen, Hongming Xu, Jinghan Guo, Meizhen Gu, Guangbin Sun, Xiaoyan Li

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2026. 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

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.

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

7 authors.

Yugang Jiang *Shandong Key Laboratory of Technologies and Systems for Intelligent Construction Equipment, Shandong Jiaotong University, Jinan, China.
Wei Chen *Department of Otolaryngology-Head and Neck Surgery, Shanghai Children's Hospital, School of medicine, Shanghai Jiao Tong University, Shanghai, China.
Hongming XuDepartment of Otolaryngology-Head and Neck Surgery, Shanghai Children's Hospital, School of medicine, Shanghai Jiao Tong University, Shanghai, China.
Jinghan GuoDepartment of Stomatology, Shanghai Children's Hospital, School of medicine, Shanghai Jiao Tong University, Shanghai, China.
Meizhen GuDepartment of Otolaryngology-Head and Neck Surgery, Shanghai Children's Hospital, School of medicine, Shanghai Jiao Tong University, Shanghai, China.
Guangbin SunDepartment of Otolaryngology-Head and Neck Surgery, Huashan Hospital, Fudan University, Shanghai, China.
Xiaoyan LiDepartment of Otolaryngology-Head and Neck Surgery, Shanghai Children's Hospital, School of medicine, Shanghai Jiao Tong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: At present, there is a lack of tools in clinical practice to evaluate the impact of obstructive sleep apnea (OSA) with adenoid hypertrophy (AH) on the upper airway (UA) flow field. This study was designed to analyze the UA aerodynamic parameters in pediatric OSA with AH, and explore its utility in diagnosing, and evaluating prognosis after adenoidectomy (AT). Methods: Based on high-resolution computed tomography (CT) image data from normal children, pre- and post-surgical AH children, we constructed three-dimensional (3D) numerical models of the UA incorporating anatomical features. Computational fluid dynamics (CFD) was employed to simulate and analyze the dynamic characteristics of the UA flow field. Results: AH led to a significant 68.3% reduction in nasopharyngeal airway cross-sectional area (CSA, normal: 302.3 mm Conclusions: Numerical simulation of the UA flow field provided a new perspective to unravel the mechanism by which AH affects inspiratory airflow. Additionally, it holds broad clinical application prospects in aided disease diagnosis, treatment regimen optimization, and therapeutic efficacy evaluation.

Indexed as

Adenoid hypertrophy (AH)childrencomputational fluid dynamics (CFD)obstructive sleep apnea (OSA)upper airway (UA)

Identifiers

PMID42701512
PMCPMC13545625

What Socratic holds

Textmetadata
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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 Socratic graph.