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Cited by 243

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

On the evaluation of the clinical effects of acupuncture

Lewith, George T., Machin, David·1983·Pain

Abstract

This paper reviews some of the recent randomised trials on acupuncture published in the literature, with particular reference to the definition of placebo (control), sham acupuncture and real acupuncture. Response rates of 30, 50 and 70% of placebo, sham and real acupuncture respectively, are suggested for the groups of patients studied. The statistical methodology necessary in the design of acupuncture trials, in order to detect differences of this order of magnitude, is discussed. If the postulated response rate had been envisaged at the onset of the trials here reviewed, then the majority of these trials have very low power at a conventional 5% level of significance. It is emphasised that one cannot necessarily conclude from trials which produce statistically non-significant results that acupuncture (when compared with placebo for example) is ineffective. The paper suggests that meaningful comparisons between alternative treatments may be made by using 'pain free intervals' with subsequent analysis using life table techniques. Tables are provided for determining appropriate patient numbers.

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Metadata

Authors
Lewith, G. T., & Machin, D.
Venue
Pain
Published
1983-06
Volume
16
Issue
2
Pages
111-127
ISSN
0304-3959 (ISSN-L)
OpenAlex
W1980603482
Cited by
243
References
1
FWCI
16.09
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: On the evaluation of the clinical effects of acupuncture. https://app.cochat.ai/papers/10.1016/0304-3959(83)90202-6
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Lewith, G. T., & Machin, D. (1983). On the evaluation of the clinical effects of acupuncture. Pain. https://doi.org/10.1016/0304-3959(83)90202-6

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.