Complementary Chinese Herbal Medicine Treatment is Associated with a Reduction of Surgical Rate in Patients with Dysfunctional Uterine Bleeding: A Propensity-Score Matched Cohort Study.

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Title: Complementary Chinese Herbal Medicine Treatment is Associated with a Reduction of Surgical Rate in Patients with Dysfunctional Uterine Bleeding: A Propensity-Score Matched Cohort Study.
Authors: Lin, Yi-Rong (AUTHOR), Lin, Wu-Chou (AUTHOR), Wu, Mei-Yao (AUTHOR), Lin, Cheng-Li (AUTHOR), Yang, Su-Tso (AUTHOR), Yen, Hung-Rong (AUTHOR)
Source: International Journal of Women's Health. Aug2024, Vol. 16, p1361-1375. 15p.
Database: Academic Search Ultimate
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An: 180218260
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  Data: Complementary Chinese Herbal Medicine Treatment is Associated with a Reduction of Surgical Rate in Patients with Dysfunctional Uterine Bleeding: A Propensity-Score Matched Cohort Study.
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  Data: <searchLink fieldCode="AR" term="%22Lin%2C+Yi-Rong%22">Lin, Yi-Rong</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lin%2C+Wu-Chou%22">Lin, Wu-Chou</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Mei-Yao%22">Wu, Mei-Yao</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lin%2C+Cheng-Li%22">Lin, Cheng-Li</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Su-Tso%22">Yang, Su-Tso</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yen%2C+Hung-Rong%22">Yen, Hung-Rong</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Women's+Health%22">International Journal of Women's Health</searchLink>. Aug2024, Vol. 16, p1361-1375. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=180218260
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.2147/IJWH.S461730
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 1361
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      – TitleFull: Complementary Chinese Herbal Medicine Treatment is Associated with a Reduction of Surgical Rate in Patients with Dysfunctional Uterine Bleeding: A Propensity-Score Matched Cohort Study.
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            NameFull: Wu, Mei-Yao
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            NameFull: Lin, Cheng-Li
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            – D: 01
              M: 08
              Text: Aug2024
              Type: published
              Y: 2024
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              Value: 16
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