Evidence map›Paper›PMID 36131305›Full record

ArticleRespiratory research2022

Long-term variability of impulse oscillometry and spirometry in stable COPD and asthma.

Jianhua Xu, Xingxing Sun, Hanqing Zhu, Yuan Cao, Bigyan Pudasaini, Wenlan Yang, Jinming Liu, Jian Guo

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Respiratory research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07185581 (Evaluation of Small Airway Function During COPD Exacerbation and Recovery Using Impulse Oscillometry), which is not on this map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.7field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

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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.

NCT07185581 completednot on this mapstarted 2024, after this paper: background citation

Evaluation of Small Airway Function During COPD Exacerbation and Recovery Using Impulse Oscillometry (IOS) Device

Typeobservational_patient_registrySponsorDeniz BiliciRan2024 to 2024Enrolled41ConditionsCOPD Exacerbation, COPDArmsImpulse Oscillometry
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 20 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

8 authors at 2 institutions in 1 country.

Jianhua Xu *Department of Pulmonary Function Test, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Xingxing Sun *Department of Pulmonary Function Test, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Hanqing Zhu *Department of Pulmonary Function Test, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Yuan CaoDepartment of Pulmonary Function Test, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Bigyan PudasainiDepartment of Internal Medicine, Columbia Bainuo Clinic, Shanghai, 200040, China.
Wenlan YangDepartment of Pulmonary Function Test, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Jinming LiuDepartment of Pulmonary Circulation, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Jian GuoDepartment of Pulmonary Function Test, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China. jianjian11121978@163.com.
Tongji University · CNShanghai Pulmonary Hospital · CN

Funding

the Clinical research project of Shanghai Pulmonary Hospital FKLY20020the Scientific research project of Shanghai Municipal Health Commission 202040321
6 · The paper itself

Abstract

backgroundWhile optimizing spirometry is a challenge for lung function labs, long-term variability if any between IOS (impulse oscillometry) parameters and spirometry is not clearly known in stable COPD (chronic obstructive pulmonary disease) and chronic asthma. The forced oscillation technique is increasingly employed in routine lung function testing. Our aim in this study was to determine the variability in oscillometric parameters between clinic visits over weeks or months in two patient groups during a period of clinical stability. Moreover, the research assessed relationships between IOS parameters long-term variability and COPD severity.

methodsWe used data from 73 patients with stable COPD and 119 patients with stable asthma at the Shanghai Pulmonary Hospital Affiliated to Tongji University. Patients were included if they had three or more clinic visits where spirometry and IOS were performed during a clinically stable period. Data recorded from the first three visits were used. The standard deviation (SDbv), the coefficient of variation (COV), intraclass correlation coefficient (ICC) and the coefficient of repeatability (COR) were calculated, Wilcoxon Mann-Whitney test was used for data that did not conform to normality of distributions, Kruskal Wallis test was used to compare with multiple groups, post hoc comparison was analyzed by Bonferroni, Spearman correlation coefficients for non-parametric data, the multiple regression analyses to determine the relationship between long-term variability and airflow obstruction.

results(1) The repeatability of IOS resistance parameters with ICC values > 0.8 was high in COPD and asthma. ICC values of IOS resistance parameters were higher than IOS reactance parameters; (2) the repeatability of spirometry parameters with ICC values < 0.8 was lower than IOS resistance parameters in different GOLD (the Global Initiative for Chronic Obstructive Lung Disease) stages, the higher the stage the worse the repeatability; (3) the severity of airflow obstruction was correlated with long-term variability of R5 (R at 5 Hz) (P < 0.05) in GOLD4, not with long-term variability of R20 (R at 20 Hz) (P > 0.05) and R5-R20 (P > 0.05).

conclusionIOS resistance parameters have good long-term repeatability in asthma and COPD. Additionally, repeatability of spirometry parameters is lower than IOS resistance parameters in different GOLD stages.

Indexed as

AsthmaPulmonary Disease, Chronic ObstructiveChinaForced Expiratory VolumeHumansOscillometrySpirometryAsthmaCOPDIOSVariability

Identifiers

PMID36131305
PMCPMC9491004
OpenAlexW4296710278

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.