Evidence map›Paper›PMID 41566492›Full record

ArticleTrials2026

Transauricular vagus nerve electrical stimulation improves postoperative sleep disorders in elderly patients (VNstep): protocol for a randomized controlled clinical trial.

Tianyuan Wang, Youxuan Wu, Xuan Hou, Fa Liang, Minyu Jian, Yun Yu, Yunzhen Wang, Haiyang Liu, Ruquan Han

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06421051 (Transauricular Vagus Nerve Stimulation), which is not on this map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

NCT06421051 naunknown statusnot on this map

Transauricular Vagus Nerve Stimulation (taVNS) Improves Postoperative Sleep Disorders in Elderly Patients:a Randomized Controlled Study.

TypeinterventionalSponsorBeijing Tiantan HospitalRan2024 to 2025Enrolled164ConditionsVagus Nerve StimulationArmsTransauricular Vagal Nerve Stimulation
3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Tianyuan Wang *Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, No. 119, Southwest 4th Ring Road, Fengtai District, Beijing, 100070, People's Republic of China.
Youxuan Wu *Department of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, No. 119, Southwest 4th Ring Road, Fengtai District, Beijing, 100070, People's Republic of China.
Xuan HouDepartment of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, No. 119, Southwest 4th Ring Road, Fengtai District, Beijing, 100070, People's Republic of China.
Fa LiangDepartment of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, No. 119, Southwest 4th Ring Road, Fengtai District, Beijing, 100070, People's Republic of China.
Minyu JianDepartment of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, No. 119, Southwest 4th Ring Road, Fengtai District, Beijing, 100070, People's Republic of China.
Yun YuDepartment of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, No. 119, Southwest 4th Ring Road, Fengtai District, Beijing, 100070, People's Republic of China.
Yunzhen WangDepartment of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, No. 119, Southwest 4th Ring Road, Fengtai District, Beijing, 100070, People's Republic of China.
Haiyang LiuDepartment of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, No. 119, Southwest 4th Ring Road, Fengtai District, Beijing, 100070, People's Republic of China.
Ruquan HanDepartment of Anesthesiology, Beijing Tiantan Hospital, Capital Medical University, No. 119, Southwest 4th Ring Road, Fengtai District, Beijing, 100070, People's Republic of China. ruquan.han@ccmu.edu.cn.ORCID http://orcid.org/0000-0003-4335-8670

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPerioperative sleep disorders (PSDs) in elderly patients under general anesthesia are associated with high morbidity and severely affect patients' prognosis. In recent years, vagus nerve electrical stimulation (VNS) has been shown to treat diseases related to autonomic dysfunction, and its anti-inflammatory and other mechanisms may present potential therapeutic possibilities for sleep disorders. This study aimed to investigate the efficacy of transauricular vagal nerve stimulation in improving sleep disorders in elderly patients. METHODS/

designThis is a single-center, prospective, randomized, controlled clinical trial. A total of 164 elderly patients receiving general anesthesia were randomized at a 1:1 ratio into two groups: one receiving electrical vagus nerve stimulation during the perioperative period and the other receiving sham stimulation. The primary outcome was the incidence of perioperative sleep disorders within 3 days postoperatively, which was defined as an Athens Insomnia Scale (AIS) score of ≥ 6 or a numerical rating scale (NRS) score of ≥ 6. Further effectiveness and safety parameters included sleep quality on days 1, 3, and 5 after surgery, the postoperative pain score, the hospital anxiety‒depression score, the incidence of postoperative delirium, and the incidence of related adverse events. DISCUSSION: This study aimed to investigate the efficacy and feasibility of using taVNS to improve PSD in elderly patients receiving general anesthesia. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov NCT06421051. Registered on May 10, 2024. PROTOCOL VERSION: 1.0: Date: 2024-05-01.

Indexed as

Postoperative ComplicationsSleepSleep Wake DisordersVagus Nerve StimulationAgedAged, 80 and overAge FactorsAnesthesia, GeneralFemaleHumansMaleProspective StudiesRandomized Controlled Trials as TopicSleep QualityTime FactorsTreatment OutcomeEffectivenessElderly peoplePerioperative periodPreventionSafetySleep disorderVagal nerve stimulation

Identifiers

PMID41566492
PMCPMC12908359

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Registered trials

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.