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A Meta-Analysis of Observational Studies on Prolactin Levels in Women with Polycystic Ovary Syndrome

Women with polycystic ovary syndrome (PCOS) are reported to have different levels of prolactin (PRL) compared to women without PCOS. This study aimed to evaluate the PRL levels in women with PCOS, compared to the control group, before and after adjustment for potential confounders. Using a logical c...

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Autores principales: Saei Ghare Naz, Marzieh, Mousavi, Maryam, Mahboobifard, Fatemeh, Niknam, Atrin, Ramezani Tehrani, Fahimeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777544/
https://www.ncbi.nlm.nih.gov/pubmed/36552931
http://dx.doi.org/10.3390/diagnostics12122924
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author Saei Ghare Naz, Marzieh
Mousavi, Maryam
Mahboobifard, Fatemeh
Niknam, Atrin
Ramezani Tehrani, Fahimeh
author_facet Saei Ghare Naz, Marzieh
Mousavi, Maryam
Mahboobifard, Fatemeh
Niknam, Atrin
Ramezani Tehrani, Fahimeh
author_sort Saei Ghare Naz, Marzieh
collection PubMed
description Women with polycystic ovary syndrome (PCOS) are reported to have different levels of prolactin (PRL) compared to women without PCOS. This study aimed to evaluate the PRL levels in women with PCOS, compared to the control group, before and after adjustment for potential confounders. Using a logical combination of keywords, a comprehensive search was carried out in PubMed and Web of Science, from inception to 30 August 2022. Weighted mean differences (WMDs) with corresponding 95% CIs in PRL levels were employed with a random-effects model. I(2) was applied to evaluate heterogeneity among studies. A meta-regression analysis and subgroup analysis were conducted to explore heterogeneity sources. Publication bias was assessed by the Egger test. Thirty-two studies, measuring PRL levels in 8551 PCOS patients according to the Rotterdam criteria and 13,737 controls, were included in the meta-analysis. Pooled effect size suggested that the overall weighted mean difference (WMD) of PRL level was significantly higher in women with PCOS, compared to controls (WMD = 1.01, 95% CI: 0.04–1.98, p = 0.040). The result of meta-regression adjusted for age, BMI, and the continent of origin, revealed no confounding effect on results. Sub-group analysis of PRL levels according to the continent of origin showed significantly higher PRL levels among Eurasian PCOS patients compared to the control; this difference was not statistically significant in the subgroups of women from Asia, Europe, and South America. In conclusion, PRL levels in patients who were diagnosed according to the Rotterdam criteria were significantly higher than non-PCOS participants. Slightly higher levels of PRL could be presented as a diagnostic feature of PCOS.
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spelling pubmed-97775442022-12-23 A Meta-Analysis of Observational Studies on Prolactin Levels in Women with Polycystic Ovary Syndrome Saei Ghare Naz, Marzieh Mousavi, Maryam Mahboobifard, Fatemeh Niknam, Atrin Ramezani Tehrani, Fahimeh Diagnostics (Basel) Review Women with polycystic ovary syndrome (PCOS) are reported to have different levels of prolactin (PRL) compared to women without PCOS. This study aimed to evaluate the PRL levels in women with PCOS, compared to the control group, before and after adjustment for potential confounders. Using a logical combination of keywords, a comprehensive search was carried out in PubMed and Web of Science, from inception to 30 August 2022. Weighted mean differences (WMDs) with corresponding 95% CIs in PRL levels were employed with a random-effects model. I(2) was applied to evaluate heterogeneity among studies. A meta-regression analysis and subgroup analysis were conducted to explore heterogeneity sources. Publication bias was assessed by the Egger test. Thirty-two studies, measuring PRL levels in 8551 PCOS patients according to the Rotterdam criteria and 13,737 controls, were included in the meta-analysis. Pooled effect size suggested that the overall weighted mean difference (WMD) of PRL level was significantly higher in women with PCOS, compared to controls (WMD = 1.01, 95% CI: 0.04–1.98, p = 0.040). The result of meta-regression adjusted for age, BMI, and the continent of origin, revealed no confounding effect on results. Sub-group analysis of PRL levels according to the continent of origin showed significantly higher PRL levels among Eurasian PCOS patients compared to the control; this difference was not statistically significant in the subgroups of women from Asia, Europe, and South America. In conclusion, PRL levels in patients who were diagnosed according to the Rotterdam criteria were significantly higher than non-PCOS participants. Slightly higher levels of PRL could be presented as a diagnostic feature of PCOS. MDPI 2022-11-23 /pmc/articles/PMC9777544/ /pubmed/36552931 http://dx.doi.org/10.3390/diagnostics12122924 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Saei Ghare Naz, Marzieh
Mousavi, Maryam
Mahboobifard, Fatemeh
Niknam, Atrin
Ramezani Tehrani, Fahimeh
A Meta-Analysis of Observational Studies on Prolactin Levels in Women with Polycystic Ovary Syndrome
title A Meta-Analysis of Observational Studies on Prolactin Levels in Women with Polycystic Ovary Syndrome
title_full A Meta-Analysis of Observational Studies on Prolactin Levels in Women with Polycystic Ovary Syndrome
title_fullStr A Meta-Analysis of Observational Studies on Prolactin Levels in Women with Polycystic Ovary Syndrome
title_full_unstemmed A Meta-Analysis of Observational Studies on Prolactin Levels in Women with Polycystic Ovary Syndrome
title_short A Meta-Analysis of Observational Studies on Prolactin Levels in Women with Polycystic Ovary Syndrome
title_sort meta-analysis of observational studies on prolactin levels in women with polycystic ovary syndrome
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777544/
https://www.ncbi.nlm.nih.gov/pubmed/36552931
http://dx.doi.org/10.3390/diagnostics12122924
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