Evidence map›Paper›PMID 39696126›Full record

ArticleBMC pulmonary medicine2024

Analysis of the correlations and inconsistencies between spirometry and impulse oscillometry in the diagnosis of small-airway dysfunction.

Ting Mou, Yujiao Wang, Yufen Fu, Yuxin Wang, Guoping Li

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
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

5 authors.

Ting Mou *Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China.
Yujiao Wang *Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China.
Yufen FuDepartment of Respiratory and Critical Care Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China.
Yuxin WangDepartment of Respiratory and Critical Care Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China.
Guoping LiDepartment of Respiratory and Critical Care Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China. lzlgp@163.com.

Funding

Chengdu Medical Research Project 2021011Chengdu Science and Technology Bureau Major Science and Technology Application Demonstration Project 2021-YF09-00102-SN
6 · The paper itself

Abstract

objectiveCurrently, there has been no gold standard for diagnosing small airway dysfunction (SAdf). This study aimed to evaluate the correlation between small airway parameters derived from spirometry and oscillometry in hospitalized patients, assessing the potential of oscillometry as an alternative diagnostic tool for SAdf. Additionally, this study explored the inconsistencies and influencing factors related to spirometry and oscillometry in diagnosing SAdf, conducting a preliminary assessment of these factors.

methodsA retrospective study was conducted involving data collection from patients who underwent both spirometry and oscillometry between June 1, 2022, and September 1, 2023, at Chengdu Third People's Hospital was conducted. Initially, 1,771 patients were considered, with 1,446 meeting the inclusion and exclusion criteria. The clinical characteristics and correlations between small airway parameters from the two methods were analyzed based on different lung function data groups. Besides, this study explored the inconsistency between the two pulmonary function tests in diagnosing SAdf in hospitalized patients. Multivariate logistic regression was employed to investigate the factors contributing to these inconsistencies.

resultsSignificant correlations were identified between parameters (reactance area [AX], resonant frequency [Fres], reactance at 5 Hz [X5], difference between resistance at 5 Hz and R20 [R5-R20]) and the forced expiratory flow (FEF) metrics (FEF25%-75%, FEF50%, and FEF75%). Among these, AX showed the strongest correlation, regardless of the severity of forced vital capacity (FVC), forced expiratory volume in one second (FEV1), and the FEV1/FVC ratio. Diagnostic inconsistencies were influenced by factors such as sex, body mass index (BMI), and sputum production. Females, individuals with a high BMI, and those with less sputum were linked to oscillometry-only SAdf, while males, individuals with alow BMI, and those with more sputum were linked to spirometry-only SAdf.

conclusionIn hospitalized patients, oscillometry could serve as an effective alternative or complement to spirometry for diagnosing SAdf. A greater degree of lung function impairment was correlated with small airway parameters between the two tests. The oscillometry might detect SAdf more sensitively in patients with normal pulmonary function as measured by spirometry. Ultimately, we recommend the combined use of spirometry and oscillometry in hospitalized patients based on its comprehensive assessment of small airway function and potential in timely intervention.

Indexed as

OscillometrySpirometryAdultAgedFemaleForced Expiratory VolumeHumansLogistic ModelsMaleMiddle AgedRetrospective StudiesVital CapacityOscillometryRetrospective studySmall airway dysfunctionSpirometry

Identifiers

PMID39696126
PMCPMC11657815

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.