Evidence map›Paper›PMID 32409858›Full record

ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2021

Application of automatic detection based on overnight airflow and blood oxygen in patients with sleep disordered breathing.

Jingjing Huang, Liujie Ren, Lifen Chen, Zirui Jia, Tianyu Zhang, Haitao Wu

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In one paragraph

Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 54% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

6 authors at 2 institutions in 1 country.

Jingjing Huang *ENT Institute, Eye and ENT Hospital of Fudan University, Fenyang Road No. 83, Xuhui District, Shanghai, China.ORCID http://orcid.org/0000-0002-9237-6595
Liujie Ren *ENT Institute, Eye and ENT Hospital of Fudan University, Fenyang Road No. 83, Xuhui District, Shanghai, China.
Lifen ChenDepartment of Aeronautics and Astronautics, Fudan University, Shanghai, China.
Zirui JiaDepartment of Aeronautics and Astronautics, Fudan University, Shanghai, China.
Tianyu ZhangENT Institute, Eye and ENT Hospital of Fudan University, Fenyang Road No. 83, Xuhui District, Shanghai, China.
Haitao WuENT Institute, Eye and ENT Hospital of Fudan University, Fenyang Road No. 83, Xuhui District, Shanghai, China. eentwuhaitao@163.com.ORCID http://orcid.org/0000-0002-7617-2832
Eye & ENT Hospital of Fudan University · CNFudan University · CN

Funding

the Health and Family Planning Commission of Shanghai Municipality of China 2019SY059the Science and Technology Commission of Shanghai Municipality of China 17411962000
6 · The paper itself

Abstract

purposeTo explore the feasibility of automatic detection based on air flow and blood oxygen in patients with sleep disordered breathing.

methodsThis study proposes a new automated detection method for sleep disordered breathing based on overnight airflow and blood oxygen saturation (SaO

resultsFor all patients, the apnea-hypopnea index (AHI), apnea index (AI) and hypopnea index (HI) for our automated scoring and manual reports were highly correlated (the Pearson correlation index were 0.996, 0.995 and 0.928, respectively, P < 0.001). However, HI for Remlogic automated scoring and clinical manual reports was poorly correlated (r = 0.316, P < 0.001). Compared with the manual reports, mean absolute error of AHI, AI and HI between the two automated methods (this study vs. Remlogic software) were statistically significant (P < 0.0001). Furthermore, among the three subgroups (group 1, AHI < 15/h, group 2, 15/h ≤ AHI < 30/h and group 3, AHI ≥ 30/h), the mean error and MAE of AHI between the two automated methods were also statistically significant (P < 0.01).

conclusionsGenerally, good agreements were shown between our automated detection and clinical reports. This procedure is robust and effective, which would significantly shorten the analysis time.

Indexed as

Sleep Apnea SyndromesHumansOximetryOxygenPolysomnographyOxygenAirflow recordAutomated detectionBlood oxygenSleep apnea–hypopnea syndrome

Identifiers

PMID32409858
OpenAlexW3024335070

What OpenQuestion holds

Textmetadata
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.