Evidence map›Paper›PMID 27411310›Full record

SynthesisBMC complementary and alternative medicine2016

Effectiveness and safety of moxibustion for primary insomnia: a systematic review and meta-analysis.

Yu-Jiao Sun, Jia-Min Yuan, Zhi-Min Yang

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC complementary and alternative medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05410288 (A Clinical Investigation of the Effects of Acu-TENS and Acupressure on the Sleep Quality of Older Adults With Insomnia), which is not on this map. Cited by 25 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 4 pooled it
4.8field-weighted citation impact, top 6% 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.

NCT05410288 nacompletednot on this mapstarted 2022, after this paper: background citation

A Clinical Investigation of the Effects of Acu-TENS and Acupressure on the Sleep Quality of Older Adults With Insomnia: A Pilot Randomized, Placebo-controlled Clinical Trial

TypeinterventionalSponsorThe Hong Kong Polytechnic UniversityRan2022 to 2023Enrolled76ConditionsacuTENS, Sleep Quality, Insomnia, AcupressureArmsAcu-TENS, acupressure+SHP, placebo stimulation+SHP, sleep hygiene program(SHP)
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 4 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  9. Bibliometric Analysis of Brain Stimulation Technologies in Sleep Disorders.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Article
  10. Article
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  13. Effects of Acupuncture, Moxibustion, Cupping, and Massage on Sports Injuries: A Narrative Review.Evidence-based complementary and alternative medicine : eCAM · 2022
    Review
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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

3 authors at 2 institutions in 1 country.

Yu-Jiao SunGuangzhou University of Chinese Medicine, No.12, Jichang Road, Bai Yun District, Guangzhou, Guangdong, 510405, China.
Jia-Min YuanGuangdong Hospital of Traditional Chinese Medicine, No.111, Dade Road, Yue Xiu District, Guangzhou, Guangdong, 510120, China.
Zhi-Min YangGuangdong Hospital of Traditional Chinese Medicine, No.111, Dade Road, Yue Xiu District, Guangzhou, Guangdong, 510120, China. yangyo@vip.tom.com.
Guangdong Provincial Hospital of Traditional Chinese Medicine · CNGuangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrimary insomnia is a widespread and refractory disease. Moxibustion therapy for insomnia shows some advantages compared with conventional therapies. This systematic review and meta-analysis of randomized controlled trials (RCTs) was conducted to evaluate the effectiveness and safety of moxibustion therapy for insomnia.

methodsWe conducted a comprehensive literature review of the CENTRAL, PubMed, EMBASE, Web of science, CNKI, VIP, and Wanfang Data databases from their inception to July 2015 for RCTs that compared moxibustion with western medications, oral Chinese medicine, or other methods of traditional Chinese medicine (TCM) in patients with primary insomnia. The primary outcome measure was effective rate and secondary outcome measure was adverse events. Data collection and analysis included risk of bias evaluation, meta-analysis, sensitivity analysis, publication bias and adverse events analysis according to corresponding criteria.

resultsThe study included 22 RCTs (1,971 patients). The quality of the studies was low. The overall meta-analysis demonstrated that moxibustion was more effective for insomnia than western medications, oral Chinese medicine and other TCM therapies (RR = 1.17, 95 % CI 1.12 to 1.23, P < 0.00001). Subgroup analyses demonstrated that moxibustion was more effective for insomnia than western medications (RR = 1.16, 95 % CI 1.09 to 1.24, P < 0.00001), oral Chinese medicine (RR = 1.11, 95 % CI 1.04 to 1.18, P = 0.002), and other TCM therapies (RR = 1.22, 95 % CI 1.15 to 1.30, P < 0.00001). There were no serious adverse effects associated with moxibustion therapy for insomnia, and the rate of adverse events was low.

conclusionIt is difficult to get the conclusion regarding the effectiveness and safety of moxibustion for primary insomnia due to insufficient evidence, such as the high risk of bias in the included studies, small sample sizes, and few reports on adverse effects. Moxibustion should be considered as a novel therapeutic option for insomnia, and more rigorous clinical trials of moxibustion therapy for insomnia are needed to assess its effects.

Indexed as

MoxibustionAdultAgedFemaleHumansMaleMedicine, Chinese TraditionalMiddle AgedSleep Initiation and Maintenance DisordersInsomniaMoxibustionSystematic Review

Identifiers

PMID27411310
PMCPMC4944240
OpenAlexW2472567162

What OpenQuestion holds

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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.