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Review Article

Glucocorticoid supplementation during ovulation induction for assisted reproductive technology: a systematic review and meta-analysis

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Article: 2227310 | Received 30 Mar 2023, Accepted 14 Jun 2023, Published online: 29 Jun 2023
 

Abstract

Background

There is ongoing interest in glucocorticoid treatment during oocyte stimulation to treat infertility in women who have undergone Assisted Reproductive Technology (ART).

Objective

This meta-analysis was performed to evaluate the efficiency and safety of adjuvant glucocorticoid therapy on pregnancy outcomes in infertile women undergoing ART cycles.

Study design

A literature search was performed in PubMed, EMBASE, Web of Science, and the Cochrane Library up to December 2022. To assess the efficacy and safety of additional glucocorticoid treatment during ovulation induction in women who underwent IVF or ICSI treatment, only randomized controlled trials were included.

Results

Overall, glucocorticoid therapy during ovulation showed a nonsignificant effect of prednisolone improving the live birth rate (OR = 1.03, 95% CI [.75, 1.43], I2 = .0%, p = .84), abortion rate (OR = 1.14, 95% CI [.62, 2.08], I2 = 31%, p = .68), and implantation rate (OR = 1.1, 95% CI [.82, 1.5], I2 = 8%, p = .52) of infertile women compared to the control group. The present meta-analysis revealed that the clinical pregnancy rate per cycle tended to increase after glucocorticoid treatment (OR = 1.29, 95% CI [1.02, 1.63], I2 = 8%, p = .52).

Conclusions

The present meta-analysis suggested that ovarian stimulation prednisolone therapy does not significantly improve clinical outcomes in women undergoing IVF/ICSI. Although the results indicated that adjuvant glucocorticoid therapy during ovarian stimulation may increase the clinical pregnancy rate, subgroup analysis showed that it was affected by infertility factors, dose schedules, and length of treatment. Therefore, these results should be interpreted with caution.

Acknowledgements

Not applicable.

Consent to participate

Not applicable.

Authors’ contributions

Data curation: Li Lin and Taoqiong Li.

Formal analysis: Li Lin and Wujiang Gao.

Methodology: Taoqiong Li and Chunli Sha.

Software: Lu Chen and Hong Wei.

Validation: Xiaolan Zhu.

Funding acquisition: Xiaolan Zhu.

Writing – original draft: Li Lin and Lu Chen.

Writing – review & editing: Xiaolan Zhu and Hong Wei.

Code availability

Not applicable.

Disclosure statement

No conflict of interest exits in the submission of this manuscript, and manuscript is approved by all authors for publication.

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Data availability statement

Not applicable.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China (81871343/82172838), the Natural Science Foundation of Jiangsu Province (BK20181226/BK20201227], the Social Development Project of Jiangsu [grant no. BE2018693, Open Project of Clinical Medicine Research Center for Obstetrics and Gynecology in Zhenjiang City (SS2022003-KFC01).