Evidence map›Paper›PMID 39843381›Full record

ArticleBMJ open2025

Blinding assessment in randomised sham-controlled trials of acupuncture:protocol for a systematic survey.

Jiahui Yang, Jiali Liu, Xiaochao Luo, Minghong Yao, Yong Fu, Ling Li, Xin Sun

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  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

7 authors.

Jiahui Yang *Jiangxi University of Chinese Medicine, Nanchang City, Jiangxi Province, China.
Jiali Liu *Institute of Integrated Traditional Chinese and Western Medicine and Chinese Evidence-based Medicine Center, Cochrane China Center and IDEAL China Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xiaochao LuoInstitute of Integrated Traditional Chinese and Western Medicine and Chinese Evidence-based Medicine Center, Cochrane China Center and IDEAL China Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Minghong YaoInstitute of Integrated Traditional Chinese and Western Medicine and Chinese Evidence-based Medicine Center, Cochrane China Center and IDEAL China Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yong FuJiangxi University of Chinese Medicine, Nanchang City, Jiangxi Province, China fuyong1125@163.com liling@wchscu.cn sunxin@wchscu.cn.ORCID http://orcid.org/0009-0009-9364-481X
Ling LiInstitute of Integrated Traditional Chinese and Western Medicine and Chinese Evidence-based Medicine Center, Cochrane China Center and IDEAL China Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China fuyong1125@163.com liling@wchscu.cn sunxin@wchscu.cn.
Xin SunInstitute of Integrated Traditional Chinese and Western Medicine and Chinese Evidence-based Medicine Center, Cochrane China Center and IDEAL China Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China fuyong1125@163.com liling@wchscu.cn sunxin@wchscu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlthough various sham acupuncture techniques have been employed to ensure blinding in randomised controlled trials (RCTs) of acupuncture, the effectiveness of blinding in these trials and its influence on trial effect size estimates remain unclear. The objectives of this study are the following: (1) to investigate the proportion and study characteristics of sham-controlled trials reporting on blinding assessment, (2) to assess the blinding effectiveness of different types of sham acupuncture, (3) to investigate the relationship between blinding effectiveness and effect sizes in acupuncture RCTs. METHODS AND ANALYSIS: We will search PubMed and EMBASE from inception to 1 January 2025 to identify RCTs that compared acupuncture with sham acupuncture in humans with any disease or symptom, with no restrictions on language. Paired investigators will independently determine eligibility and use pilot-tested standardised forms for data extraction. We will calculate the proportion of sham-controlled trials that assessed and reported blinding success and conduct descriptive analyses of general study characteristics, acupuncture treatment details, sham acupuncture details and blinding assessments for included trials. We will assess the effectiveness of blinding success using the James blinding index (BI) and Bang BI, and pool data from included trials using random-effects models. We will use Hedges' g, a standardised mean difference, with its 95% CI, to calculate treatment effects. We will use Pearson's r correlation coefficient to assess the relationship between blinding effectiveness and trial effect sizes when variable distributions meet the assumptions of normality and linearity; otherwise, we will consider employing non-parametric tests. When sufficient data are available, we will also use random-effects meta-regression to explore the relationship. ETHICS AND DISSEMINATION: Ethical approval is not required. The findings of this study will be disseminated through peer-reviewed publications, conference presentations and condensed summaries for clinicians, health policymakers and guideline developers regarding the design, conduct, analysis and interpretation of blinded assessment of sham acupuncture RCTs. STUDY REGISTRATION: Open Science Framework (https://doi.org/10.17605/OSF.IO/B3U7K).

Indexed as

Acupuncture TherapyRandomized Controlled Trials as TopicDouble-Blind MethodHumansResearch DesignSystematic Reviews as TopicAcupunctureRandomised Controlled TrialSystematic Review

Identifiers

PMID39843381
PMCPMC11784118

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.