Evidence map›Paper›PMID 21341295›Full record

ArticleStatistics in medicine2012

Issues of design and statistical analysis in controlled clinical acupuncture trials: an analysis of English-language reports from Western journals.

Ping Shuai, Xiao-Hua Zhou, Lixing Lao, Xiaosong Li

Abstract read
In one paragraph

Article in Statistics in medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
6.5field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Review
  9. Complementary and alternative medicine for cancer pain: an overview of systematic reviews.Evidence-based complementary and alternative medicine : eCAM · 2014
    Review
  10. Review
  11. Acupuncture in the treatment of rheumatic diseases.Current rheumatology reports · 2012
    Review
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

4 authors at 1 institution in 1 country.

Ping ShuaiDepartment of Health Statistics, West China School of Public Health, Sichuan University, Chengdu, People's Republic of China.
Xiao-Hua Zhou
Lixing Lao
Xiaosong Li
Sichuan University · CN

Funding

Cochrane Complementary Medicine Field: Resource for ResearchR24AT001293 · NCCIH · UNIVERSITY OF MARYLAND BALTIMORE · PI BERMAN, BRIAN M, WIELAND, LISA SUSAN · 2003 to 2022
$9.4M
New Methodological Developments in Traditional Chinese Medicine ResearchR13AT005399 · NCCIH · UNIVERSITY OF WASHINGTON · PI ZHOU, XIAO-HUA A. · 2009 to 2009
$30k
NCCIH NIH HHS R13 AT005399NCCIH NIH HHS R13AT005399NCCIH NIH HHS R24 AT001293
6 · The paper itself

Abstract

objectiveTo investigate major methods of design and statistical analysis in controlled clinical acupuncture trials published in the West during the past six years (2003-2009) and, based on this analysis, to provide recommendations that address methodological issues and challenges in clinical acupuncture research.

methodPubMed was searched for acupuncture RCTs published in Western journals in English between 2003 and 2009. The keyword used was acupuncture.

resultsOne hundred and eight qualified reports of acupuncture trials that included more than 30 symptoms/conditions were identified, analyzed, and grouped into efficacy (explanatory), effectiveness (pragmatically beneficial), and other (unspecified) studies. All were randomized controlled clinical trials (RCTs). In spite of significant improvement in the quality of acupuncture RCTs in the last 30 years, these reports show that some methodological issues and shortcomings in design and analysis remain. Moreover, the quality of the efficacy studies was not superior to that of the other types of studies. Research design and reporting problems include unclear patient criteria and inadequate practitioner eligibility, inadequate randomization, and blinding, deficiencies in the selection of controls, and improper outcome measurements. The problems in statistical analysis included insufficient sample sizes and power calculations, inadequate handling of missing data and multiple comparisons, and inefficient methods for dealing with repeated measure and cluster data, baseline value adjustment, and confounding issues.

conclusionDespite recent advancements in acupuncture research, acupuncture RCTs can be improved, and more rigorous research methods should be carefully considered.

Indexed as

Acupuncture TherapyHumansOutcome Assessment, Health CarePatient SelectionRandomized Controlled Trials as TopicResearch DesignSample Size

Identifiers

PMID21341295
PMCPMC3631592
OpenAlexW1997956172

What OpenQuestion holds

Textmetadata
LicenceTDM
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.