Evidence map›Paper›PMID 32607033›Full record

ArticleNature and science of sleep2020

Topological Regularization of Networks in Adult Patients with Moderate-to-Severe Obstructive Sleep Apnea-Hypopnea Syndrome: A Structural MRI Study.

Wanqing Liu, Chuanlong Cao, Bing Hu, Danyang Li, Yumei Sun, Jianlin Wu, Qing Zhang

Open access · goldAbstract read
In one paragraph

Article in Nature and science of sleep, 2020. 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
0.6field-weighted citation impact, top 33% 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

8 citing papers in PubMed, 12 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

7 authors at 2 institutions in 1 country.

Wanqing LiuDepartment of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian 116001, People's Republic of China.
Chuanlong CaoDepartment of Radiology, Affiliated Xinhua Hospital of Dalian University, Dalian 116001, People's Republic of China.
Bing HuDepartment of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian 116001, People's Republic of China.
Danyang LiDepartment of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian 116001, People's Republic of China.
Yumei SunDepartment of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian 116001, People's Republic of China.
Jianlin WuDepartment of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian 116001, People's Republic of China.
Qing ZhangDepartment of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian 116001, People's Republic of China.
Affiliated Zhongshan Hospital of Dalian University · CNDalian University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePatients with obstructive sleep apnea-hypopnea syndrome (OSAHS) exhibit neurocognitive impairments; however, the neuroimaging mechanism of neurocognitive impairments remains unclear. The aim of this study was to understand the neuroimaging mechanism in adult patients with moderate-to-severe OSAHS, from the perspective of the connectome. PATIENTS AND

methodsThirty-one untreated patients with moderate-to-severe OSAHS (mean age: 41.23±8.22) were compared with 26 good sleepers (GS) (mean age: 39.50±7.92) matched according to age, gender, handedness, and education level. All subjects underwent thin-slice T1WI scanning of the skull using a 3.0T MRI. Then, a large-scale structural covariance network was constructed based on the gray matter volume extracted from the structural MRI. Graph theory was then used to determine the topological changes in the structural covariance network of OSAHS patients.

resultsAlthough small-world networks were retained,the structural covariance network exhibited topological irregularities in regular architecture as evidenced by an increase in the clustering coefficient (

conclusionStructural covariance networks are abnormal in terms of multiple network parameters, which provide network-level insight into the neuroimaging mechanism of cognitive impairments in adult OSAHS patients.

Indexed as

cognitive impairmentconnectomegraph theorygray matter volumeobstructive sleep apnea-hypopnea syndrome

Identifiers

PMID32607033
PMCPMC7293417
OpenAlexW3033042638

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.