Title

Efficacy of pioglitazone in correcting ovulatory functions among polycystic ovary syndrome patients

Authors

Ulvina Khalid¹, Anam Rashid^2,*, Vidhi Janak Shah³, Mehwish Saleem⁴, Sadia Detho⁵ & Rabia Khursheed⁶

Affiliation

¹Department of Obstetrics and Gynaecology, Integrated Medical Care Hospital, Lahore, Pakistan; ²Department of Obstetrics and Gynaecology, North Manchester General Hospital, Manchester, England; ³Department of Obstetrics and Gynaecology, Aster Clinic, Dubai; ⁴Department of Obstetrics and Gynaecology, Government Mian Meer DHQ level Hospital, Lahore, Pakistan, ⁵Department of Obstetrics and Gynaecology, Murshid Hospital, Karachi, Pakistan; ⁶Department of Obstetrics and Gynaecology, Services Hospital, Lahore, Pakistan; *Corresponding author

Email

Ulvina Khalid - E-mail: dr.ulvina@gmail.com

Anam Rashid - E-mail: Anam.Rashid@mft.nhs.uk

Vidhi Janak Shah - E-mail: vidhishah1387@gmail.com

Mehwish Saleem - E-mail: mvshsaleem@gmail.com 

Sadia Detho - E-mail: dethosadia01@gmail.com

Rabia Khursheed - E-mail: iqbalian28@outlook.com

Article Type

Research Article

Date

Received June 1, 2026; Revised June 30, 2026; Accepted June 30, 2026, Published June 30, 2026

Abstract

Polycystic ovary syndrome (PCOS) is a major cause of infertility due to chronic anovulation, and current treatments like metformin are not effective for all patients. Evidence on pioglitazone’s role in restoring ovulation is limited, particularly among South Asian women where PCOS prevalence is high. This study, conducted in Lahore from January to June 2025, evaluated pioglitazone in 95 PCOS patients. After six months of treatment, 72.6% of patients achieved restored ovulation with improved hormonal profiles. Pioglitazone thus emerges as an effective alternative to metformin, improving menstrual cycles, ovulation, hyperandrogenism, and reducing the risk of type 2 diabetes.

Keywords

Polycystic ovary syndrome, pioglitazone, menstrual cycle and ovarian function

Citation

Khalid et al. Bioinformation 22(6): 3385-3389 (2026)

Edited by

Rashmi Laddha

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.