Autoimmune thyroid disorders and polycystic ovary syndrome: Tracing links through systematic review and meta-analysis
Journal of Reproductive Immunology, ISSN: 0165-0378, Vol: 163, Page: 104215
2024
- 11Citations
- 13Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations11
- Citation Indexes11
- 11
- CrossRef1
- Captures13
- Readers13
- 13
Review Description
Polycystic Ovary Syndrome (PCOS) and Autoimmune Thyroiditis (AIT) are two prevalent endocrine disorders affecting women, often coexisting within the same patient population. This meta-analysis aims to systematically assess and synthesize the existing body of literature to elucidate the intricate relationship between PCOS and AIT. A systematic literature search for relevant observational studies was conducted in electronic databases such as Web of Science, Google Scholar, PubMed, Cochrane, and Scopus until March 2023. All Statistical analyses were performed using CMA Software v3.7 in a random-effects network meta-analysis. In addition, sensitivity and meta-regression analyses were conducted to identify sources of Heterogeneity based on related risk factors. Our meta-analysis included eighteen studies with 3657 participants, which revealed significant differences between PCOS patients and control groups. In particular, a considerable association was detected between PCOS and the presence of AIT (OR = 2.38; 95% CI: 1.63–3.49; P< 0.001) and elevated levels of TSH (SMD = 0.24; 95% CI: 0.06–0.42; P= 0.01), anti-TPO (SMD = 0.36; 95% CI: 0.19–0.53; P< 0.001), anti-TG (SMD = 1.24; 95% CI: 0.37–2.10; P< 0.001), and other positive serum antibodies compared to the control groups. The findings from this meta-analysis may contribute to enhanced diagnostic strategies like complete thyroid function tests, more targeted interventions, and improved patient care for individuals presenting with both PCOS and AIT. Additionally, identifying commonalities between these conditions may pave the way for future research directions, guiding the development of novel therapeutic approaches that address the interconnected nature of PCOS and AIT.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S016503782400024X; http://dx.doi.org/10.1016/j.jri.2024.104215; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85187784589&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/38402811; https://linkinghub.elsevier.com/retrieve/pii/S016503782400024X; https://dx.doi.org/10.1016/j.jri.2024.104215
Elsevier BV
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