Evidence Hub

Evaluating Different Medications Used in the Treatment of Polycystic Ovarian Syndrome in Tikrit City Women

Rabei Abdullah

Tikrit journal of pharmaceutical sciences, 2026

204 participants

Abstract

One of the most common endocrine disorders that impacts reproductive-aged women is Polycystic Ovary Syndrome (PCOS). There are various pharmacological agents used to manage the condition, such as antiandrogens, aromatase inhibitors, metformin, thiazolidinediones, and ovulation-inducing medications. Such medications focus on increasing insulin sensitivity and restoring ovulatory function. The clinical characterizations of polycystic ovary syndrome include hyperandrogenism, menstrual irregularities, and polycystic ovarian morphology. The objective of this research is to estimate the effectiveness of different medications on the signs and symptoms of polycystic ovary syndrome.

Methods: From October to December 2024, a cross-sectional study was performed on 204 women in Iraq aged between 15 and 45 years to assess the therapeutic practices for PCOS. To acquire the relevant data, private gynecological consultations were held, including laboratory measurements and a questionnaire, which were analyzed using Microsoft Excel 2021.

Results: The findings showed that the commonly-prescribed medications are Metformin (35.2%) and Diane 35 (34.8%). Furthermore, menstrual interruptions, hirsutism, and acne were the most commonly-reported symptoms. Hormonal evaluations show that there was heterogeneity between participants, especially regarding the levels of androgen and reproductive hormones. The findings are reflective of typical polycystic ovary syndrome clinical manifestations and the…

How strong is the evidence?

Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 204 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.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free