Evidence map›Paper›PMID 36585134›Full record

ArticleBMJ open2022

Acupuncture combined with cognitive-behavioural therapy for insomnia (CBT-I) in patients with insomnia: study protocol for a randomised controlled trial.

Wenya Pei, Te He, Pei Yang, Xiaozhou Lv, Boyu Jiao, Fanqi Meng, Yingshuo Yan, Liqian Cui, Guanheng He, Xin Zhou and 3 more

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2022. 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
0.6field-weighted citation impact, top 29% 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, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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

13 authors at 3 institutions in 1 country.

Wenya PeiDepartment of Acupuncture, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Te HeSchool of Computer Science and Engineering, South China University of Technology, Guangzhou, China.
Pei YangSchool of Computer Science and Engineering, South China University of Technology, Guangzhou, China.
Xiaozhou LvDepartment of Traditional Chinese Medicine, Zhongshan School of Medicine, Sun Yat-senUniversity, Guangzhou, China.
Boyu JiaoDepartment of Acupuncture, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Fanqi MengDepartment of Acupuncture, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yingshuo YanDepartment of Respiratory Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Liqian CuiDepartment of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzho, China.
Guanheng HeDepartment of Acupuncture, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xin ZhouDepartment of Acupuncture, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Guihua WenSchool of Computer Science and Engineering, South China University of Technology, Guangzhou, China ruanjw@163.com lilimingleon@126.com crghwen@scut.edu.cn.
Jingwen RuanDepartment of Acupuncture, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China ruanjw@163.com lilimingleon@126.com crghwen@scut.edu.cn.ORCID 0000-0002-5087-0667
Liming LuSouth China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China ruanjw@163.com lilimingleon@126.com crghwen@scut.edu.cn.
Sun Yat-sen University · CNSouth China University of Technology · CNGuangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInsomnia affects physical and mental health due to the lack of continuous and complete sleep architecture. Polysomnograms (PSGs) are used to record electrical information to perform sleep architecture using deep learning. Although acupuncture combined with cognitive-behavioural therapy for insomnia (CBT-I) could not only improve sleep quality, solve anxiety, depression but also ameliorate poor sleep habits and detrimental cognition. Therefore, this study will focus on the effects of electroacupuncture combined with CBT-I on sleep architecture with deep learning. METHODS AND ANALYSIS: This randomised controlled trial will evaluate the efficacy and effectiveness of electroacupuncture combined with CBT-I in patients with insomnia. Participants will be randomised to receive either electroacupuncture combined with CBT-I or sham acupuncture combined with CBT-I and followed up for 4 weeks. The primary outcome is sleep quality, which is evaluated by the Pittsburgh Sleep Quality Index. The secondary outcome measures include a measurement of depression severity, anxiety, maladaptive cognitions associated with sleep and adverse events. Sleep architecture will be assessed using deep learning on PSGs. ETHICS AND DISSEMINATION: This trial has been approved by the institutional review boards and ethics committees of the First Affiliated Hospital of Sun Yat-sun University (2021763). The results will be disseminated through peer-reviewed journals. The results of this trial will be disseminated through peer-reviewed publications and conference abstracts or posters. TRIAL REGISTRATION NUMBER: CTR2100052502.

Indexed as

Acupuncture TherapyCognitive Behavioral TherapySleep Initiation and Maintenance DisordersHumansRandomized Controlled Trials as TopicSleepTreatment OutcomeCLINICAL PHYSIOLOGYCOMPLEMENTARY MEDICINERehabilitation medicineREHABILITATION MEDICINE

Identifiers

PMID36585134
PMCPMC9809230
OpenAlexW4313304252

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.