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For: Niu J, Lu M, Liu B. Association between insulin resistance and abnormal menstrual cycle in Chinese patients with polycystic ovary syndrome. J Ovarian Res 2023;16:45. [PMID: 36823522 PMCID: PMC9948335 DOI: 10.1186/s13048-023-01122-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Accepted: 02/17/2023] [Indexed: 02/25/2023]  Open
Number Cited by Other Article(s)
1
Lu L, Wu B, Peng C, Zhang W, Zhao Y, Huang C, Long Y. Lower Serum ATG7 Levels Linked to Insulin Resistance in Women with Polycystic Ovary Syndrome. Med Sci Monit 2024;30:e944556. [PMID: 39161055 PMCID: PMC11344473 DOI: 10.12659/msm.944556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 07/04/2024] [Indexed: 08/21/2024]  Open
2
Zhao Y, Xiong S, Liu T, Shu J, Zhu T, Li S, Zhong M, Zhao S, Huang X, Liu S. Total weight loss rather than preoperative body mass index correlates with remission of irregular menstruation after sleeve gastrectomy in patients with polycystic ovary syndrome. Front Endocrinol (Lausanne) 2024;15:1355703. [PMID: 38529391 PMCID: PMC10961366 DOI: 10.3389/fendo.2024.1355703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 02/22/2024] [Indexed: 03/27/2024]  Open
3
Ogunlakin AD, Ojo OA, Gyebi GA, Akinwumi IA, Adebodun GO, Ayokunle DI, Ambali OA, Ayeni PO, Awosola OE, Babatunde DE, Akintunde EA, Ajayi-Odoko OA, Dahunsi OS, Sonibare MA. Elemental evaluation, nutritional analysis, GC-MS analysis and ameliorative effects of Artocarpus communis J.R.Forst. & G.Forst. seeds' phytoconstituents on metabolic syndrome via in silico approach. J Biomol Struct Dyn 2023:1-21. [PMID: 38112300 DOI: 10.1080/07391102.2023.2293271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 12/01/2023] [Indexed: 12/21/2023]
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