Evidence map›Paper›PMID 39114535›Full record

ArticleFrontiers in neurology2024

Screening of preoperative obstructive sleep apnea by cardiopulmonary coupling and its risk factors in patients with plans to receive surgery under general anesthesia: a cross-sectional study.

Shujie Hou, Guojia Zhu, Xu Liu, Chuan Wang, Junchao Liang, Wei Hao, Lili Kong

Abstract read
In one paragraph

Article in Frontiers in neurology, 2024. 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
–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

1 citing paper in PubMed.

  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

7 authors.

Shujie Hou *Graduate School of Hebei University of Traditional Chinese Medicine, Shijiazhuang, China.
Guojia Zhu *Graduate School of Hebei University of Traditional Chinese Medicine, Shijiazhuang, China.
Xu LiuSchool of Basic Medicine, Hebei University of Traditional Chinese Medicine, Shijiazhuang, China.
Chuan WangDepartment of Anesthesiology and Perioperative Medicine, Hebei Provincial Hospital of Traditional Chinese Medicine, Shijiazhuang, China.
Junchao LiangDepartment of Anesthesiology and Perioperative Medicine, Hebei Provincial Hospital of Traditional Chinese Medicine, Shijiazhuang, China.
Wei HaoDepartment of Anesthesiology and Perioperative Medicine, Hebei Provincial Hospital of Traditional Chinese Medicine, Shijiazhuang, China.
Lili KongDepartment of Anesthesiology and Perioperative Medicine, Hebei Provincial Hospital of Traditional Chinese Medicine, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Preoperative obstructive sleep apnea (OSA) is supposed to be the abnormally high occurrence of OSA the night before surgery under general anesthesia. This study aimed to evaluate the prevalence preoperative OSA using cardiopulmonary coupling (CPC) and its correlation with imbalance of sympathetic/parasympathetic nervous system. Methods: A total of 550 patients with plans to receive surgery under general anesthesia were enrolled. All patients were assigned to wear CPC on the night before surgery until the next day. Sleep quality characteristics, heart rate variation parameters, and apnea-hypopnea index were acquired. The diagnosis of pre-existing OSA was not considered in the current study. Results: According to apnea-hypopnea index, 28.4%, 32.2%, 26.2%, and 13.3% patients were assessed as no, mild, moderate, and severe operative OSA, respectively. Multivariate logistic regression model revealed that higher age [ Conclusion: Preoperative OSA is prevalent. Higher age and imbalance of sympathetic/parasympathetic nervous system are independently and positively associated with a higher occurrence of preoperative OSA. CPC screening may promote the management of preoperative OSA.

Indexed as

cardiopulmonary couplingheart rate variabilitypreoperative obstructive sleep apneaprevalencerisk factor

Identifiers

PMID39114535
PMCPMC11303281

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