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Chinese herbal medicines for treating osteoporosis

Liu Y, Liu JP, Xia Y

The Cochrane database of systematic reviews, 2014

10,655 participants · 43 citations

Abstract

Background: Chinese herbal medicines have been used for a long time to treat osteoporosis. The evidence of their benefits and harms needs to be systematically reviewed.

Objectives: To assess the beneficial and harmful effects of Chinese herbal medicines as a general experimental intervention for treating primary osteoporosis by comparing herbal treatments with placebo, no intervention and conventional medicine.

Search methods: We searched the following electronic databases to January 2013: the Specialised Register of the Cochrane Complementary Medicine Field, CENTRAL, MEDLINE, EMBASE, LILACS, JICST-E, AMED, Chinese Biomedical Database and CINAHL.

Selection criteria: Randomised controlled trials of Chinese herbal medicines compared with placebo, no intervention or conventional medicine were included.

Data collection and analysis: Two authors extracted data and assessed risk of bias independently. Disagreement was resolved by discussion.

Main results: One hundred and eight randomised trials involving 10,655 participants were included. Ninety-nine different Chinese herbal medicines were tested and compared with placebo (three trials), no intervention (five trials) or conventional medicine (61 trials), or Chinese herbal medicines plus western medicine were compared with western medicine (47 trials). The risk of bias across all studies was unclear for most domains primarily due to inadequate reporting of study design. Although we rated the risk of selective reporting for all…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 10,655 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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