Evidence map›Paper›PMID 34753450›Full record

ArticleBMC pulmonary medicine2021

Clinical analysis of the "small plateau" sign on the flow-volume curve followed by deep learning automated recognition.

Yimin Wang, Wenya Chen, Yicong Li, Changzheng Zhang, Lijuan Liang, Ruibo Huang, Jianling Liang, Yi Gao, Jinping Zheng

Open access · goldAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC pulmonary medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 34% of its field
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

3 citing papers in PubMed, 5 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

9 authors at 4 institutions in 1 country.

Yimin Wang *National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Yanjiang Road 151, Guangzhou, 510120, Guangdong, People's Republic of China.
Wenya Chen *National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Yanjiang Road 151, Guangzhou, 510120, Guangdong, People's Republic of China.
Yicong Li *Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, 518055, People's Republic of China.
Changzheng ZhangHuawei Cloud BU EI Innovation Laboratory, Huawei Technologies, Shenzhen, 518129, People's Republic of China.
Lijuan LiangNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Yanjiang Road 151, Guangzhou, 510120, Guangdong, People's Republic of China.
Ruibo HuangNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Yanjiang Road 151, Guangzhou, 510120, Guangdong, People's Republic of China.
Jianling LiangNational Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Yanjiang Road 151, Guangzhou, 510120, Guangdong, People's Republic of China.
Yi Gao *National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Yanjiang Road 151, Guangzhou, 510120, Guangdong, People's Republic of China. misstall2@163.com.
Jinping Zheng *National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Yanjiang Road 151, Guangzhou, 510120, Guangdong, People's Republic of China. jpzhenggy@163.com.
First Affiliated Hospital of Guangzhou Medical University · CNHuawei Technologies (China) · CNState Key Laboratory of Respiratory Disease · CNGuangzhou Medical University · CN

Funding

the National Key Technology R&D Program 2018YFC1311901the National Key Technology R&D Program2016YFC1304603 2016YFC1304603the National Science & Technology Pillar Program 2015BAI12B10the Science and Technology Program of Guangzhou, China 202007040003
6 · The paper itself

Abstract

backgroundSmall plateau (SP) on the flow-volume curve was found in parts of patients with suspected asthma or upper airway abnormalities, but it lacks clear scientific proof. Therefore, we aimed to characterize its clinical features.

methodsWe involved patients by reviewing the bronchoprovocation test (BPT) and bronchodilator test (BDT) completed between October 2017 and October 2020 to assess the characteristics of the sign. Patients who underwent laryngoscopy were assigned to perform spirometry to analyze the relationship of the sign and upper airway abnormalities. SP-Network was developed to recognition of the sign using flow-volume curves.

resultsOf 13,661 BPTs and 8,168 BDTs completed, we labeled 2,123 (15.5%) and 219 (2.7%) patients with the sign, respectively. Among them, there were 1,782 (83.9%) with the negative-BPT and 194 (88.6%) with the negative-BDT. Patients with SP sign had higher median FVC and FEV

conclusionsSP sign is featured on the flow-volume curve and recognized by the SP-Network model. Patients with the sign are less likely to have airway hyperresponsiveness, automatic visualizing of this sign is helpful for primary care centers where BPT cannot available.

Indexed as

Forced Expiratory VolumeAdolescentAdultAsthmaBronchial Provocation TestsChildChinaDeep LearningFemaleHumansLaryngoscopyMaleMiddle AgedRetrospective StudiesSpirometryYoung AdultAirway responsivenessDeep learningFlow-volume curvePulmonary function testSmall plateau sign

Identifiers

PMID34753450
PMCPMC8576991
OpenAlexW3212016859

What OpenQuestion holds

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LicenceCC BY
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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.