Construction and validation of a predictive model for the risk of osteoporosis in patients with chronic kidney disease based on NHANES data

Our study suggests a nomogram, providing nephrologists with a convenient and effective tool for identifying individuals at high risk of osteoporosis and avoiding adverse outcomes related to CKD.

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Publication Details

Journal
PLoS ONE
Published
2025-02-06
DOI
https://doi.org/10.1371/journal.pone.0316494
Citations
2
Primary Topic
Parathyroid Disorders and Treatments
Type
article
Field-Weighted Citation Impact
2.86
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article

Construction and validation of a predictive model for the risk of osteoporosis in patients with chronic kidney disease based on NHANES data

H Liu, Chongyang She
2 citations
PLoS ONE
Parathyroid Disorders and Treatments
2.86
article

Construction and validation of a predictive model for the risk of osteoporosis in patients with chronic kidney disease based on NHANES data

H Liu, Chongyang She
article en
2 citations

Abstract

Our study suggests a nomogram, providing nephrologists with a convenient and effective tool for identifying individuals at high risk of osteoporosis and avoiding adverse outcomes related to CKD.

PLoS ONEVol. 20(2)
Chaohu Hospital of Anhui Medical University (CN)
Reduced inequalities
Openalex Percentile: Top 12%
Parathyroid Disorders and Treatments
2.86
DOIOpen Access PDFOpenAlex
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Construction and validation of a predictive model for the risk of osteoporosis in patients with chronic kidney disease based on NHANES data — H Liu, Chongyang She · PLoS ONE (2025) | TGRS Research Map | TGRS