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[Indication of bloodletting therapy based on multi-dimensional evidence assessment].

Authors: Zhong-Xi, Lv; Yi-Nan, Gong; Yi, Guo; Ze-Lin, Chen; Si-Min, Song; Wan-Rong, Li; Xue, Meng;

[Indication of bloodletting therapy based on multi-dimensional evidence assessment].

Abstract

The indication of bloodletting therapy was determined based on the multi-dimensional evidence assessment, which could provide guidance for the clinical application of bloodletting therapy. The literature of bloodletting therapy was comprehensively collected by retrieval in CNKI, Wanfang and VIP databases (until February 23, 2019), modern books in Library of Tianjing University of TCM and the Chinese Medical Code (Fifth Edition). The disease spectrum of bloodletting therapy was determined by self-designed questionnaire survey e-mailed to relevant experts. The indication of bloodletting therapy was determined by Delphi expert meeting. As a result, 746 pieces of ancient literature and 32 775 modern literature were included. The indications of bloodletting therapy based on the multi-dimensional evidence assessment include herpes zoster, acne, acute tonsillitis, vascular headache, varicose veins of lower extremities, acute lumbar sprain, early erysipelas, wheat swelling, exogenous fever of children, stroke, which are mainly the syndromes of blood stasis, toxin, excess and heat.

Related Organizations
Keywords

Humans, Medicine, Chinese Traditional, Bloodletting

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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