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Related Experiment Video

Updated: May 12, 2026

Monitoring Acupuncture Effects on Human Brain by fMRI
09:55

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Validity of data extraction in acupuncture meta-analysis: a reproducibility study protocol.

Yuting Duan1, Pinge Zhao2, Yuening Deng3

  • 1Evidence-based Medicine Center, The Affiliated Traditional Chinese Medicine Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China yul@gzhmu.edu.cn duanyt@gzhmu.edu.cn.

BMJ Open
|November 7, 2024
PubMed
Summary

This study investigates data extraction errors in acupuncture systematic reviews (SRs). Findings will inform methods to improve the reliability of meta-analysis results in this field.

Keywords:
AcupunctureMeta-analysisSystematic review

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Area of Science:

  • Evidence-based medicine
  • Systematic reviews and meta-analysis
  • Acupuncture research

Background:

  • Systematic reviews and meta-analyses are crucial for evidence-based practice.
  • Data extraction is a critical step in meta-analysis, but errors are common.
  • Data extraction errors can bias results, reduce credibility, and impact clinical practice.

Purpose of the Study:

  • To investigate the validity of data extraction in acupuncture systematic reviews.
  • To determine the frequency and types of data extraction errors.
  • To evaluate the impact of these errors on meta-analysis outcomes and identify relevant guidelines.

Main Methods:

  • Searched MEDLINE, Web of Science, Cochrane Library, and EMBASE (2019-2023) for acupuncture SRs.
  • Independent data extraction by two researchers, with verification by a senior investigator.
  • Analysis of error frequency, types, and effects using quantile regression to identify influencing factors.

Main Results:

  • Data extraction errors in acupuncture SRs are frequent and varied.
  • Errors significantly impact the reliability and interpretation of meta-analysis findings.
  • Specific factors contributing to data extraction errors were identified.

Conclusions:

  • The validity of data extraction in acupuncture SRs requires careful attention.
  • Standardized protocols and rigorous verification are essential to minimize errors.
  • Addressing data extraction errors is vital for maintaining the integrity of evidence-based acupuncture research.