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Cangfu Daotan Decoction

Cangfu Daotan Decoction is a traditional Chinese herbal formula, made from several plants and used for irregular cycles. In women with polycystic ovary syndrome and infertility, meta-analyses of Chinese trials found that adding it to clomiphene gave higher ovulation and pregnancy rates than clomiphene alone. The evidence is limited, though, since the trials varied widely, carried a risk of bias, and were of low quality.

Best evidence
Grade C
Conditions studied
1
Outcomes
2
Graded outcomes
0020

Evidence by condition

  • Strong
  • Moderate
  • Limited
  • Very limited

1 condition

Infertility: outcomes studied for Cangfu Daotan Decoction
GradeOutcomeEffectSizeStudiesPeopleStudies list
Ovulation Rate

Meta-analyses of Chinese RCTs: CFDTD + clomiphene improved ovulation rates vs clomiphene alone in PCOS patients. Evidence quality is low due to methodological limitations.

Improves (the measure goes up)Moderate effect1,200 people
Pregnancy Rate

Meta-analysis: Higher pregnancy rates when CFDTD added to clomiphene treatment for PCOS-related infertility. Studies have high heterogeneity and risk of bias.

Improves (the measure goes up)Moderate effect900 people

Key findings

  • Ovulation RateInfertilityImproves (the measure goes up)
  • Pregnancy RateInfertilityImproves (the measure goes up)

Safety notes in the studies

  • Studies have high heterogeneity and risk of bias.

Shop Cangfu Daotan Decoction

Third-party tested Cangfu Daotan Decoction products. The evidence above is limited, so read it before you buy.

  • Grade C

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Studies cited

3 studies from PubMed

  1. Traditional Chinese medicine for polycystic ovary syndrome: A systematic review and meta-analysisComplement Ther Med, 2019 · PMID 30587385
  2. Changbudodam-tang, a traditional Korean formula, improves polycystic ovary syndrome symptoms in ratsJ Ethnopharmacol, 2018 · PMID 29695449
  3. Efficacy and safety of Cangfu Daotan Decoction combined with clomiphene in treatment of polycystic ovary syndrome: A meta-analysisJ Tradit Chin Med, 2017 · PMID 26885439