Evidence map›Paper›PMID 41152303›Full record

ArticleScientific reports2025

Flow rate selection depends on the size of allergen particles to achieve optimal nasal irrigation.

Yongchao Liu, Xue Sui, Qing Yang, Zhang Jie, Zhengbao Yang, Wei Feng, Rui Zhou

Abstract read
In one paragraph

Article in Scientific reports, 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

7 authors.

Yongchao Liu *Beijing University of Chinese Medicine, Beijing, 102488, China.
Xue Sui *Beijing University of Chinese Medicine, Beijing, 102488, China.
Qing YangBeijing University of Chinese Medicine, Beijing, 102488, China.
Zhang JieBeijing University of Chinese Medicine, Beijing, 102488, China.
Zhengbao YangHong Kong University of Science and Technology, Clear Water Bay, Kowloon, 999077, Hong Kong, China.
Wei FengWangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, 100102, China. 3611147987@163.com.
Rui ZhouBeijing University of Chinese Medicine, Beijing, 102488, China. rzhou_bucm@163.com.

Funding

High-Level Construction Disciplines of State Administration of Traditional Chinese Medicine Traditional Chinese Medicine Pharmacy zyyzdxk-2023272Science and Technology Innovation Project of China Academy of Chinese Medical Sciences CI2021A02704
6 · The paper itself

Abstract

The clearance efficiency of allergen particles during nasal irrigation is a quantitative standard for evaluating the effectiveness of nasal irrigation. Due to the difficulty in obtaining various parameters in in vivo experiments, this study aims to establish a numerical model of the nasal cavity based on CT scan images of healthy adults. We chose four different levels of allergen particles, PM1, PM5, PM10, and PM25, as the subjects. A quantitative analysis was conducted to determine the clearance efficiency of the four levels of allergen particles by five different inlet flow rates of the irrigation solution. The results showed that the clearance efficiency of PM1 allergens was optimal at the inlet flow rate of 1.8 [Formula: see text], equivalent to 2.10 [Formula: see text]. In summary, selecting an appropriate flow rate is necessary to achieve the best clearance efficiency for different levels of allergen particles.

Indexed as

AllergensNasal CavityNasal LavageParticulate MatterAdultFemaleHumansMaleParticle SizeTomography, X-Ray ComputedAllergensParticulate MatterAllergen particlesClearance rateComputational fluid dynamicsNasal irrigationNasal modelQuantitative standards

Identifiers

PMID41152303
PMCPMC12569045

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.