Abstract
Background:
As a common symptom of perimenopausal period, perimenopausal insomnia brings great pain to many women and families. Acupuncture has been accepted by people as the incidence rate of this disease increases. The purpose of this study is to systematically compare the safety and efficacy of various acupuncture treatments for perimenopausal insomnia through network meta-analysis.
Methods:
We will search Web of Science, PubMed, The Cochrane Library, Embase, Chinese National Knowledge Infrastructure (CNKI), Wan Fang Date, VIP database, conference papers and grey literature. All relevant Randomized controlled trial (RCT) using acupuncture for perimenopausal insomnia will be included. Two reviewers will independently search and screen date. Network meta-analysis will be completed by Stata and WinBUGS software.
Results:
This study will compare the efficacy and safety of different acupuncture treatments for perimenopausal insomnia.
Conclusion:
The result of this study will provide reliable evidence for evaluating the efficacy and safety of acupuncture in the treatment of perimenpausal insomnia.
INPLASY registration number:
INPLASY2020110047.
Keywords: acupuncture, network meta-analysis, perimenopausal insomnia, protocol
1. Introduction
As we know, menopause is a vexing problem for most people, because it always comes with hot flash, sweating, depression, insomnia, osteoporosis and so on.[1] Of all the above symptoms, perimenopausal insomnia has become the most concerned problem.[2] It is mainly because it has a negative impact on patients daytime function[2], reduces the quality of life of patients[1–4] and causes economic losses[4–6]. According to the National Institutes of Health statement, the prevalence of sleep disturbance varies from 39% to 47% in perimenopause,[7] and the proportion increases significantly with age,[5,7–10] which remains elevated in postmenopause.[7,10]
Perimenopausal insomnia is characterized by having trouble falling asleep, early awakening and difficulty in falling asleep after waking.[11–12] At present, although the mechanism of perimenopausal insomnia is not completely clear, it is generally attribute to hypothalamic-pituitary-ovarian axis disorder, which results in vegetative nerve functional disturbance. In addition, unique symptoms of perimenopause, such as hot flashes, night sweats, bone aches, anxiety and depression also contribute to sleep disturbance.[2,5,7] At the specific time of perimenopause, most women act as parent, wife and child simultaneously, they need to take care of their aging parents, immature children, and shoulder most of the housework.[12,13] At the same time, these women who are climbing the career ladder[14] need to put more energy into work challenge. It is not difficult to understand, the pressure from family and society is a significant factor to perimenopausal insomnia.[7,13]
For perimenopausal insomnia, the main treatment methods are hormone replacement therapy (HRT) and sedative and hypnotic drugs. HRT is the first-line therapy for perimenopausal syndrome.[5] Estrogen is known to exert effects on sleep-related factors,[15] therefore, estrogen can also be used alone or in combination with progesterone.[16] Sedative-hypnotic drugs include benzodiazepines[17] and non-benzodiazepine hypnotics[16] (e.g., zaleplon, zolpidem, zopiclone, eszopiclone).[18] Although these drugs are a great boon for perimenopausal insomnia sufferers, in the long run, patients will become dependent on drug[17,19] and can increase the risk of endometrial cancer, breast cancer, stroke, and coronary heart diseases.[19,20] So, more and more doctors and patients are looking for a safer and more effective therapy.[17,21]
As one of therapeutic methods of Traditional Chinese Medicine, acupuncture is well accepted by world people[10,21–23] and widely used in various diseases.[17,18] A number of randomized controlled trials and meta-analysis have shown acupuncture can improve peoples sleep quality in perimenopause.[11,24] Studies have found that the increase of serum estradiol levels is a possible mechanism of acupuncture in alleviating perimenopausal insomnia.[24] Positive regulation of the sleep architecture and mood disorder might be able to improve sleep disturbances, after the sleep-related center responded acupuncture signal.[17] However, the exact physiological or biochemical mechanism of acupuncture improving sleep is still not completely understood.[18]
Acupuncture has different forms, including body acupuncture, electroacupuncture, warm acupuncture, ear acupuncture, abdominal acupuncture, moxibustion cupping, massage, acupoint embedding thread, acupoint application and so on.[18] Doctors choose different kinds of acupuncture according to different conditions of patients.[25]
2. Objectives
The purpose of this study is to provide a safer and more effective treatment for perimenopausal insomnia by comparing the clinical efficacy of different acupuncture.
3. Materials and methods
With the guidance of Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines we has completed our network meta-analysis (NMA) protocol, and has been registered in the International Platform of Registered Systematic Review and Meta-analysis Protocols (INPLASY) with the number is INPLASY2020110047.
3.1. Selection criteria
3.1.1. Types of studies
All relevant Randomized controlled trial (RCT) using acupuncture for perimenopausal insomnia will be included.
3.1.2. Types of patients
Women who meet insomnia in perimenopause, and are clearly diagnosed as peimenopausal insomnia will be included without restrictions on race, nationality, education and economic incomes.
3.1.3. Intervention and comparators
All randomized controlled trials with acupuncture therapy (without restriction on form, acupoint selection, operation method, etc.) will be included. The control group with other treatment (sham acupuncture, placebo, drugs, etc.) will be included.
3.1.4. Outcomes
Main outcome is sleep quality measured by the Pittsburgh Sleep Quality Index Scale (PSQI). Additional outcomes include quality of life measured by Quality of Life Scale (SF-36), hormone levels and adverse events.
3.2. Database search strategy
We will search Web of Science, PubMed, The Cochrane Library, Embase, Chinese National Knowledge Infrastructure (CNKI), Wan Fang Date and VIP database. Meanwhile, conference papers and grey literature will be searched to get RCTs of acupuncture for perimenopausal insomnia. Relevant studies published before October 2020 will be included. The search terms will combine Medical Subject Heading (MeSH) with free-text terms, including perimenopausal insomnia, perimenopausal sleep disorder, perimenopausal sleep disturbance, acupuncture, electroacupuncture, auriculotherapy, fire needling, warm acupuncture, moxibustion, etc. The search strategy of PubMed is shown in Table 1.
Table 1.
Search strategy used in PubMed database.
| No. Search item |
| #1 Perimenopaus∗[Mesh] |
| #2 Menopause [Title/Abstract] OR Climacteric[Title/Abstract] |
| #3 #1 OR #2 |
| #4 Insomnia [Mesh] |
| #5 Sleep disorder [Title/Abstract] OR Sleep disturbance [Title/Abstract] OR |
| Sleeplessness [Title/Abstract] |
| #6 #4 OR #5 |
| #7 Acupuncture [Mesh] |
| #8 Acupuncture therapy [Title/Abstract] OR Electroacupuncture [Title/Abstract] OR Acupuncture points [Title/Abstract] OR Auriculotherapy [Title/Abstract] OR Fire needling [Title/Abstract] OR Warm acupuncture [Title/Abstract] OR Moxibustion [Title/Abstract] |
| #9 #7 OR #8 |
| #10 Randomized controlled trial [Publication Type] OR Controlled clinical trial [Publication Type] |
| #11 Randomly [Title/Abstract] OR Randomized [Title/Abstract] Randomly allocation [Title/Abstract] |
| #12 #10 OR #11 |
| #13 #3 AND #6 AND #9 AND #12 |
3.3. Study selection and date extraction
According to a prepared date extraction form, 2 reviewers (Zhao Wang and Fengting Zhai) will independently search and screen date including studies characteristics (title, authors, journal, publication time, method of randomization and blinding), participants characteristics (age, duration of disease, diagnostic criteria and sample size), interventions and controls, outcomes. Any disagreement will be resolved through discussion with a third reviewer (Xiaomin Zhao). If the information is incomplete, we will contact author by email or telephone. Reviewers eliminate literature by Note Express, exclude irrelevant literature through reading the title and abstract, and include the required literature after reading the full text.
3.4. Risk of bias assessment
Two reviewers (Zhao Wang and Fengting Zhai) will independently assess the risk of bias of included studies according to The Cochrane Handbook for systematic Review of Interventions. Seven domains will be included, random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome date, selective outcome reporting and other bias. Each item will be judged as high, low and unclear (Xiaomin Zhao).
3.5. Statistical analysis
Revman5.3 will be used to evaluate the bias risk. Heterogeneity test depends on P and I2. If P ≥ .05 and I2 ≤ 50%, it means there is no obvious heterogeneity of included studies, then fixed-effected model would be adopted. If P < .05 and I2 > 50%, it indicates there is heterogeneity, then random effect model would be selected and a subgroup analysis would be conducted to analyze the source of heterogeneity. If the heterogeneity is large and the source is unknown, only descriptive analysis will be performed. Mean different (MD) will be used for the continuous date, the odds rations (OR) will be used for dichotomous date. Both continuous and dichotomous dates will be present 95% confidence intervals (CL).
Stata 15.0 and WinBUGS 1.4.3 software will be used to perform this network meta-analysis, using different commands to realize network evidence plot construction and ranking between direct comparison interventions and indirect comparison interventions. The node-splitting method and loop inconsistency will be used to test inconsistency of the network. The surface under the cumulative ranking area (SUCRA) will be used to calculate the probability ranking of the effects of various treatments. The higher value of SUCRA, the better effect of the intervention.
3.6. Sensitivity analysis
We will conduct sensitivity analysis of main outcomes to ensure reliability of conclusion, including risk of bias, missing state and methodological quality.
3.7. Assessment of publication bias and evidence quality
The funnel plot will be used to evaluate publication bias. If the funnel plot is symmetric, there is no publication bias, otherwise, it suggests existing publication bias.
The Grading of Recommendations Assessment, Development and Evaluation (GRADE) will be used to assess the quality of evidence, including risk of bias, indirectness, inconsistency, imprecision and publication bias.
4. Discussion
As a traditional Chinese treatment, acupuncture is constantly evolving and changing.[26] Researchers have found that acupuncture has some advantages over drugs in treating perimenopausal insomnia. However, there are many kinds of acupuncture, which one is the best? Numerous meta-analysis studies focused on the comparison of drug application and acupuncture treatment,[27] or between 2 kinds of acupuncture,[28] but rarely comparisons with different kinds of acupuncture. This study will complement this deficiency through network meta-analysis, evaluate the efficacy and safety of acupuncture in the treatment of perimenopausal insomnia and rank the curative effect of all kinds of acupuncture to provide the most effective treatment for the clinical application.
However, this study also has some limitations. For example, due to language barrier, only English and Chinese documents can be searched. In addition, different kinds of acupuncture and different acupoint selection[28] may cause significant heterogeneity. Therefore, it is necessary to carry out a higher quality research in the future.
Author contributions
Conceptualization: Zhao Wang, Jinxing Liu.
Data curation: Zhao Wang, Fengting Zhai, Jinxing Liu.
Formal analysis: Zhao Wang, Fengting Zhai, Xiaomin Zhao.
Funding acquisition: Jinxing Liu.
Investigation: Zhao Wang.
Methodology: Zhao Wang, Fengting Zhai, Xiaomin Zhao.
Project administration: Zhao Wang.
Resources: Guizhi Zhao, Na Li, Fang Zhang.
Software: Zhao Wang, Fengting Zhai, Guizhi Zhao, Fang Zhang.
Supervision: Zhao Wang.
Validation: Zhao Wang.
Visualization: Zhao Wang.
Writing – original draft: Zhao Wang, Fengting Zhai, Li Na.
Writing – review & editing: Zhao Wang, Jinxing Liu.
Footnotes
Abbreviations: CL = confidence interval, CNKI = Chinese National Knowledge Infrastructure, GRADE = Grading of Recommendations Assessment, Development and Evaluation, HRT = hormone replacement therapy, MD = mean different, MeSH = Medical Subject Heading, NMA = network meta-analysis, OR = odds rations, PSQI = Pittsburgh Sleep Quality Index Scale, RCT = randomized controlled trial, SF-36 = Quality of Life Scale, SUCRA = surface under the cumulative ranking area.
How to cite this article: Wang Z, Zhai F, Zhao X, Zhao G, Li N, Zhang F, Liu J. The efficacy and safety of acupuncture for perimenopausal insomnia: a protocol for a network meta-analysis. Medicine. 2020;99:52(e23741).
This study is supported by the TCM Science & Technology Development Plan Project of Shandong Province (No. 2019-1054).
This article does not involve humans and animals, so there is no need for ethical approval.
The authors have no conflicts of interest to disclose.
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
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