Evidence map›Paper›PMID 33376432›Full record

ArticleNature and science of sleep2020

Electroacupuncture versus Sham Acupuncture for Perimenopausal Insomnia: A Randomized Controlled Clinical Trial.

Shanshan Li, Zhaoqin Wang, Huangan Wu, Hongyu Yue, Ping Yin, Wei Zhang, Lixing Lao, Yiqun Mi, Shifen Xu

Open access · goldAbstract read
In one paragraph

Article in Nature and science of sleep, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 11 pooled it
3.3field-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.

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

22 citing papers in PubMed, 11 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. Trial
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors at 3 institutions in 2 countries.

Shanshan Li *Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, People's Republic of China.
Zhaoqin Wang *Department of Aeronautics and Astronautics, Shanghai Key Laboratory of Acupuncture Mechanism and Acupoint Function, Fudan University, Shanghai 200433, People's Republic of China.
Huangan Wu *Shanghai Research Institute of Acupuncture and Meridian, Shanghai University of Traditional Chinese Medicine, Shanghai 200030, People's Republic of China.
Hongyu YueShanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, People's Republic of China.
Ping YinShanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, People's Republic of China.
Wei ZhangDepartment of Biostatistics, School of Public Health, Fudan University, Shanghai 200032, People's Republic of China.
Lixing LaoVirginia University of Integrative Medicine, Fairfax, VA 22031, USA.
Yiqun MiShanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, People's Republic of China.
Shifen XuShanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, People's Republic of China.
Shanghai University of Traditional Chinese Medicine · CNFudan University · CNUniversity of Virginia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the short- and long-term effects of acupuncture on perimenopausal insomnia (PMI) and quality of life. PATIENTS AND

methodsWe designed a semi-standardized, patient-blinded, randomized placebo-controlled trial. A total of 84 patients were recruited, all of whom met the criteria for diagnosis of PMI. Either acupuncture therapy or a noninvasive placebo acupuncture therapy designed to treat insomnia was implemented 18 times over the course of 8 weeks (3 times per week for 4 weeks, twice per week for 2 weeks, once per week for 2 weeks). The primary outcome was the change in Pittsburgh Sleep Quality Index (PSQI) scores from baseline to the end of treatment, week 8. Secondary outcomes included climacteric symptoms and quality of life measured by the Menopause Quality of Life (Men-QoL), Insomnia Severity Index (ISI), Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS), sleep parameters recorded in the actigraphy and adverse events. The PSQI and Men-QoL were assessed at weeks 0, 4, 8, 12 and 20. Other assessments were performed at week 0 and week 8.

resultsThe participants were randomly assigned to either acupuncture (n=42) or sham acupuncture (n=42) groups. The mean difference from baseline of PSQI score at the end of treatment between real acupuncture and sham acupuncture group was -2.38 (95% CI, -3.46 to -1.30; P<0.001). The acupuncture group was associated with significantly lower scores than the sham acupuncture group at week 12 and during the 20-week follow-up visits (all

conclusionThe findings suggest that acupuncture may be a safe and effective treatment for PMI and improving quality of sleep in patients with menopause and could have a long-lasting effect.

trial registrationChinese Clinical Trial Registry (ChiCTR); Trial ID: ChiCTR1800018645. URL: http://www.chictr.org.cn/showproj.aspx?proj=31482.

Indexed as

acupunctureperimenopausal insomniarandomized controlled trial

Identifiers

PMID33376432
PMCPMC7764880
OpenAlexW3114310356

What OpenQuestion 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 OpenQuestion graph.