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Proposing an Optimized Prediction Model for Pancreatic Cancer Based on Mendelian Randomization Analysis of Fibrinogen Levels and Urinary Protein Excretion Rate.

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Title: Proposing an Optimized Prediction Model for Pancreatic Cancer Based on Mendelian Randomization Analysis of Fibrinogen Levels and Urinary Protein Excretion Rate.
Authors: Wu, Qian1,2 (AUTHOR), Sun, Mengqing1 (AUTHOR), Lin, Yan2 (AUTHOR), Lin, Shujin2 (AUTHOR), Lin, Ting3 (AUTHOR), Han, Xiao2,3 (AUTHOR) hanxiao@fzu.edu.cn, Han, Xianlin1 (AUTHOR) hanxianlin@pumch.cn
Source: Clinical Medicine Insights: Oncology. 3/17/2026, Vol. 20, p1-14. 14p.
Database: Academic Search Ultimate
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Header DbId: asn
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An: 192372850
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Proposing an Optimized Prediction Model for Pancreatic Cancer Based on Mendelian Randomization Analysis of Fibrinogen Levels and Urinary Protein Excretion Rate.
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  Data: <searchLink fieldCode="JN" term="%22Clinical+Medicine+Insights%3A+Oncology%22">Clinical Medicine Insights: Oncology</searchLink>. 3/17/2026, Vol. 20, p1-14. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192372850
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1177/11795549251392490
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      – Code: eng
        Text: English
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        PageCount: 14
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      – TitleFull: Proposing an Optimized Prediction Model for Pancreatic Cancer Based on Mendelian Randomization Analysis of Fibrinogen Levels and Urinary Protein Excretion Rate.
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            NameFull: Wu, Qian
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            NameFull: Sun, Mengqing
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            NameFull: Lin, Yan
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            NameFull: Lin, Shujin
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            NameFull: Lin, Ting
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            NameFull: Han, Xiao
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            NameFull: Han, Xianlin
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            – D: 17
              M: 03
              Text: 3/17/2026
              Type: published
              Y: 2026
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            – TitleFull: Clinical Medicine Insights: Oncology
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