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Predicting Sarcopenia in Peritoneal Dialysis Patients: A Multimodal Ultrasound-Based Logistic Regression Analysis and Nomogram Model.

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Title: Predicting Sarcopenia in Peritoneal Dialysis Patients: A Multimodal Ultrasound-Based Logistic Regression Analysis and Nomogram Model.
Authors: Wang, Shengqiao1 (AUTHOR), Lu, Xiuyun1 (AUTHOR), Chen, Juan1 (AUTHOR), Xu, Xinliang1 (AUTHOR), Jiang, Jun1 (AUTHOR), Dong, Yi (AUTHOR) dong.yi@shsmu.edu.cn
Source: Diagnostics (2075-4418). Nov2025, Vol. 15 Issue 21, p2685. 15p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Diagnostics+%282075-4418%29%22">Diagnostics (2075-4418)</searchLink>. Nov2025, Vol. 15 Issue 21, p2685. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=189601718
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        Value: 10.3390/diagnostics15212685
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        Text: English
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      – TitleFull: Predicting Sarcopenia in Peritoneal Dialysis Patients: A Multimodal Ultrasound-Based Logistic Regression Analysis and Nomogram Model.
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            – D: 01
              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
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