Development and Validation of a Nomogram Model for Accurately Predicting Depression in Maintenance Hemodialysis Patients: A Multicenter Cross-Sectional Study in China

The nomogram constructed in this study can be used to identify depression conditions in vulnerable groups quickly, practically and reliably.

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Publication Details

Journal
Risk Management and Healthcare Policy
Published
2024-09-01
DOI
https://doi.org/10.2147/rmhp.s456499
Citations
5
Primary Topic
Restless Legs Syndrome Research
Type
article
Field-Weighted Citation Impact
1.93
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article

Development and Validation of a Nomogram Model for Accurately Predicting Depression in Maintenance Hemodialysis Patients: A Multicenter Cross-Sectional Study in China

Xinyuan Zhou, Fuxiang Zhu
5 citations
Risk Management and Healthcare Policy
Restless Legs Syndrome Research
1.93
article

Development and Validation of a Nomogram Model for Accurately Predicting Depression in Maintenance Hemodialysis Patients: A Multicenter Cross-Sectional Study in China

Xinyuan Zhou, Fuxiang Zhu
article en
5 citations

Abstract

The nomogram constructed in this study can be used to identify depression conditions in vulnerable groups quickly, practically and reliably.

Risk Management and Healthcare PolicyVol. Volume 17
Zhejiang Chinese Medical University (CN), Jiaxing University (CN), First Hospital of Jiaxing (CN)
Openalex Percentile: Top 13%
Restless Legs Syndrome Research
1.93
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