Evidence map›Paper›PMID 34217283›Full record

ArticleBMC complementary medicine and therapies2021

Electro-acupuncture for central obesity: randomized, patient-assessor blinded, sham-controlled clinical trial protocol.

Linda L D Zhong, Xingyao Wu, Tsz Fung Lam, Ying Ping Wong, Peihua Cao, Emily Yen Wong, Shipping Zhang, Zhaoxiang Bian

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMC complementary medicine and therapies, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03815253 (Electro-acupuncture for Central Obesity), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 16% 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.

NCT03815253 nacompletednot on this map

Electro-acupuncture for Central Obesity: a Single Blinded Randomized Sham-controlled Clinical Trial

TypeinterventionalSponsorHong Kong Baptist UniversityRan2019 to 2021Enrolled168ConditionsCentral ObesityArmsacupuncture
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. 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

8 authors at 3 institutions in 2 countries.

Linda L D Zhong *Hong Kong Chinese Medicine Study Centre, School of Chinese Medicine, Hong Kong Baptist University, 3/F, Jockey Club Chinese Medicine Building, 7 Baptist University Road, Kowloon, Hong Kong SAR, P. R. China. ldzhong0305@gmail.com.ORCID http://orcid.org/0000-0002-3877-1914
Xingyao Wu *Hong Kong Chinese Medicine Study Centre, School of Chinese Medicine, Hong Kong Baptist University, 3/F, Jockey Club Chinese Medicine Building, 7 Baptist University Road, Kowloon, Hong Kong SAR, P. R. China.
Tsz Fung LamHong Kong Chinese Medicine Study Centre, School of Chinese Medicine, Hong Kong Baptist University, 3/F, Jockey Club Chinese Medicine Building, 7 Baptist University Road, Kowloon, Hong Kong SAR, P. R. China.
Ying Ping WongHong Kong Chinese Medicine Study Centre, School of Chinese Medicine, Hong Kong Baptist University, 3/F, Jockey Club Chinese Medicine Building, 7 Baptist University Road, Kowloon, Hong Kong SAR, P. R. China.
Peihua CaoDepartment of Hepatobiliary Surgery II, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Emily Yen WongDepartment of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong.
Shipping ZhangHong Kong Chinese Medicine Study Centre, School of Chinese Medicine, Hong Kong Baptist University, 3/F, Jockey Club Chinese Medicine Building, 7 Baptist University Road, Kowloon, Hong Kong SAR, P. R. China.
Zhaoxiang BianHong Kong Chinese Medicine Study Centre, School of Chinese Medicine, Hong Kong Baptist University, 3/F, Jockey Club Chinese Medicine Building, 7 Baptist University Road, Kowloon, Hong Kong SAR, P. R. China. bzxiang@hkbu.edu.hk.
Hong Kong Baptist University · HKUniversity of Hong Kong · HKZhujiang Hospital · CN

Funding

Health and Medical Research Fund 15163331
6 · The paper itself

Abstract

backgroundObesity is a common medical condition. Among all the classifications of obesity, central obesity is considered to be a significant threat on the health of individuals. Scientific researches have demonstrated that the accumulation of intra-abdominal fat is associated with higher metabolic and cardiovascular disease risks independently from Body Mass Index (BMI). Our previous research found that the combination of electro-acupuncture and auricular acupressure could significantly reduce the body weight and the BMI compared to sham control group. METHODS/

designThis is a patient-assessor blinded, randomized, sham-controlled clinical trial on electro-acupuncture for central obesity. One hundred sixty-eight participants with central obesity will be randomly assigned to two groups, which are the acupuncture group and the sham control group. The whole study duration will be 8-week treatment plus 8-week follow up. The primary outcome is the change in waist circumference before and after the treatment. The secondary outcomes include the changes in hip circumference, waist-to-hip circumference ratio, BMI and body fat percentage during the treatment and follow-up.

conclusionThe trial will evaluate the efficacy and safety of electro-acupuncture for central obesity compared with sham acupuncture. The study may provide the solid evidence of electro-acupuncture on central obesity in Hong Kong.

trial registrationClinicalTrials.gov Identifier: NCT03815253 ,Registered 24 Jan 2019.

Indexed as

Acupuncture TherapyBody Fat DistributionBody Mass IndexHumansObesity, AbdominalRandomized Controlled Trials as TopicWaist CircumferenceWaist-Hip RatioCentral obesityEfficacy and safetyElectro-acupunctureRandomized controlled trial

Identifiers

PMID34217283
PMCPMC8254909
OpenAlexW3181347902

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.