Combined Treatment With PDE-4 Inhibitor Roflumilast and Metformin Leads to Significant Weight Loss in Obese Women With Polycystic Ovary Syndrome
Abstract
The purpose of this study was to determine whether combined treatment with phosphodiesterase-4 (PDE-4) inhibitor roflumilast and metformin is more effective than metformin as monotherapy in the treatment of obese women with polycystic ovary syndrome (PCOS) who had been previously poor responders regarding weight reduction on metformin monotherapy. The investigators anticipated greater changes in body weight in patients on combined treatment than in those on monotherapy with metformin.
Conditions: PCOS, Obesity.
Primary outcome: The main outcome was change in body weight..
Enrollment: 36 participants.
How strong is the evidence?
Evidence Hub reads this as a clinical trial, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 36 participants or records.
Read the paper
Related studies
- Increased expression of circulating miRNA-93 in women with polycystic ovary syndrome may represent a novel, non-invasive biomarker for diagnosis
- Identification of key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysis
- Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic molecules
- Regulation of Androgen Receptor Expression Alters AMPK Phosphorylation in the Endometrium: In Vivo and In Vitro Studies in Women with Polycystic Ovary Syndrome
- Effect of oral administration of low-dose follicle stimulating hormone on hyperandrogenized mice as a model of polycystic ovary syndrome
- Systems pharmacology to investigate the interaction of berberine and other drugs in treating polycystic ovary syndrome
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.