Systematic review and meta-analysis of letrozole and clomiphene citrate in polycystic ovary syndrome

Abdul Qadr Akinoso-Imran

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
116 Downloads (Pure)


This study aims to systematically evaluate the clinical efficacy and safety of both clomiphene citrate (CC) and letrozole, and to examine if the efficacy of letrozole is superior to CC in women with polycystic ovary syndrome (PCOS).

Major databases were searched for eligible randomised controlled trials (RCTs). The methodological quality of the included studies was assessed by two independent reviewers. Meta-analysis was performed using random-effect model to account for the high levels of heterogeneity. Overall, ten eligible RCTs involving 1905 women were included. Letrozole was associated with significantly higher ovulation rate (relative risk (RR) 1.20; 95% CI 1.03–1.40; P = 0.02); clinical pregnancy rate (RR 1.48; 95% Cl 1.12–1.94; P = 0.005) and endometrial thickness (standardized mean difference (SMD) 2.31; 95% Cl 0.85–3.76; P = 0.002). There was no evidence of a difference between the treatment groups in the rate of miscarriage, number of mature follicles and multiple pregnancy rates. The result suggests that letrozole is a superior ovulation induction agent for women with PCOS as it is associated with higher ovulation and clinical pregnancy rates with no obvious increased side effects. However, this conclusion should be considered with a slight caution in that the quality of the evidence could have improved if more recent studies on the subject were available to be included in the review.
Original languageEnglish
Pages (from-to)163-170
JournalMiddle East Fertility Society Journal
Issue number3
Early online date10 Apr 2018
Publication statusPublished - 01 Sept 2018


  • Polycystic ovary syndrome
  • Clomiphene citrate
  • Letrozole
  • Meta-analysis
  • Ovulation induction


Dive into the research topics of 'Systematic review and meta-analysis of letrozole and clomiphene citrate in polycystic ovary syndrome'. Together they form a unique fingerprint.

Cite this