Evidence map›Paper›PMID 40053784›Full record

ArticleJMIR research protocols2025

Efficacy and Safety of Acupuncture for Post-COVID-19 Insomnia: Protocol for a Systematic Review and Meta-Analysis.

Yadi Li, Jianlong Zhou, Zheng Wei, Lizhu Liang, Hualing Xu, Caihong Lv, Gang Liu, Wenlin Li, Xin Wu, Yunhui Xiao and 1 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2025. 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

11 authors.

Yadi LiDeyang People's Hospital, Deyang, China.ORCID 0000-0001-8959-3102
Jianlong ZhouDepartment of Endocrinology, Chengdu University of Traditional Chinese Medicine, Chengdu, China.ORCID 0000-0003-2117-1100
Zheng WeiDeyang People's Hospital, Deyang, China.ORCID 0000-0002-1493-6155
Lizhu LiangDeyang People's Hospital, Deyang, China.ORCID 0009-0005-9304-9405
Hualing XuDeyang People's Hospital, Deyang, China.ORCID 0009-0006-1421-3789
Caihong LvDeyang People's Hospital, Deyang, China.ORCID 0009-0007-0996-4542
Gang LiuDeyang People's Hospital, Deyang, China.ORCID 0009-0001-1791-5173
Wenlin LiDeyang People's Hospital, Deyang, China.ORCID 0009-0008-3391-5481
Xin WuDeyang People's Hospital, Deyang, China.ORCID 0009-0000-0980-1136
Yunhui XiaoDeyang People's Hospital, Deyang, China.ORCID 0009-0007-9232-4940
Kejimu SunziDeyang People's Hospital, Deyang, China.ORCID 0000-0001-7350-9463

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has had a profound global impact, leading to a range of persistent sequelae referred to as post-COVID-19 condition or "long COVID" that continue to affect patients worldwide. Among these sequelae, post-COVID-19 insomnia (PCI) has emerged as a significant issue. Conventional treatments, including cognitive behavioral therapy and pharmacological interventions, face limitations such as variable efficacy, potential side effects, and substantial costs. Recently, acupuncture has gained traction due to its efficacy, cost-effectiveness, and safety profile.

objectiveThis study aims to conduct a meta-analysis and systematic review evaluating the efficacy and safety of acupuncture for the treatment of PCI to delineate the optimal modality, intervention frequency, and duration for achieving the most beneficial outcomes, thereby providing a comprehensive understanding of acupuncture's role in managing PCI, contributing to evidence-based clinical practice, and informing clinical decision-making.

methodsElectronic searches will be performed in 12 databases from inception to October 2024 without language restrictions. This includes both English databases (PubMed, Cochrane Library, Web of Science, Embase, OVID and Scopus), as well as Chinese databases (China National Knowledge Infrastructure, Wan-Fang Data, Chinese Biomedical Literature Database, Chinese Scientific Journal Database, Duxiu Database and the Chinese Clinical Trial Registry Center). Randomized controlled trials on acupuncture for PCI will be included. Primary outcomes will include the response rate and insomnia severity; secondary outcomes will include the Traditional Chinese Medicine Symptom Scale (TCMSS) and adverse event rates. Data synthesis will use risk ratios for dichotomous data and mean differences for continuous data. Study selection, data extraction, and quality assessment will be conducted independently by 2 reviewers. Methodological quality of eligible studies will be evaluated following the Cochrane Handbook for Systematic Reviews of Interventions (version 6.3). Meta-analysis will be performed with RevMan 5.3.

resultsBased on the data on response rate, insomnia severity, TCMSS score, and adverse event rates, this study will provide an evidence-based review of the efficacy and safety of acupuncture for PCI treatment.

conclusionsThis systematic review will present the current evidence for acupuncture for PCI, aiming to inform clinical practices and decision-making and to enhance the understanding of acupuncture's role in managing PCI. Furthermore, it will identify research gaps and suggest potential areas for future investigation.

trial registrationPROSPERO CRD42024499284; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=499284. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/69417.

Indexed as

Acupuncture TherapyCOVID-19Sleep Initiation and Maintenance DisordersHumansMeta-Analysis as TopicPandemicsResearch DesignSARS-CoV-2Systematic Reviews as TopicTreatment Outcomeacupuncturecomplementary and alternative medicinedepressioninsomnialong COVID-19post–COVID-19 conditionpublic healthsleep disorderstudy protocolsystematic reviewtraditional Chinese medicinetreatment

Identifiers

PMID40053784
PMCPMC11914848

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LicenceCC BY
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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.