Evidence map›Paper›PMID 40339352›Full record

ArticleClinics (Sao Paulo, Brazil)2025

Construction and validation of a nomogram for detecting chronic kidney disease in patients with nonalcoholic fatty liver disease: Insights from the NHANES database.

Dazhang Deng, Yutong Xie, Ya Wang, Wanhan Song, Yuguo Liu, Bin Liu, Honghui Guo

Abstract readValidation Study
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Dazhang DengDepartment of Nutrition, School of Public Health, Guangdong Medical University, Dongguan, PR China; Laboratory of Hepatobiliary Surgery, the Affiliated Hospital of Guangdong Medical University, Guangdong Medical University, Zhanjiang, PR China.
Yutong XieDepartment of Nutrition, School of Public Health, Guangdong Medical University, Dongguan, PR China.
Ya WangDepartment of Nutrition, School of Public Health, Guangdong Medical University, Dongguan, PR China.
Wanhan SongDepartment of Nutrition, School of Public Health, Guangdong Medical University, Dongguan, PR China.
Yuguo LiuDepartment of Nutrition, School of Public Health, Guangdong Medical University, Dongguan, PR China.
Bin LiuLaboratory of Hepatobiliary Surgery, the Affiliated Hospital of Guangdong Medical University, Guangdong Medical University, Zhanjiang, PR China.
Honghui GuoDepartment of Nutrition, School of Public Health, Guangdong Medical University, Dongguan, PR China; Laboratory of Hepatobiliary Surgery, the Affiliated Hospital of Guangdong Medical University, Guangdong Medical University, Zhanjiang, PR China; Dongguan Key Laboratory for Development and Application of Experimental Animal Resources in Biomedical Industry, School of Public Health, Guangdong Medical University, Dongguan, PR China. Electronic address: guohh1999@gdmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesFatty liver disease is often associated with renal impairment in many patients. Early detection and prompt intervention are crucial for improving patient quality of life and reducing mortality rates. This study aimed to develop and validate a nomogram for detecting the risk of Chronic Kidney Disease (CKD) comorbidity in adults with Nonalcoholic Fatty Liver Disease (NAFLD) in the United States.

methodsFrom the NHANES (2017‒2020) database, the authors enrolled 2848 NAFLD participants, of whom 633 also had CKD. The authors employed the Least Absolute Shrinkage and Selection Operator (LASSO) regression and multivariate logistic regression to identify variables with predictive value. The overlapping features were selected to construct a predictive model, which was presented as a nomogram. The effectiveness of the nomogram was evaluated using Receiver Operating Characteristic (ROC) curves, calibration plots, and decision curve analysis.

resultsSix indicators were included in the model: age, systolic blood pressure, serum albumin, high-sensitivity C-reactive protein, total cholesterol, and triglycerides. The area under the curve of the nomogram for predicting CKD in the training set was 0.772, with a 95 % Confidence Interval (95 % CI) of 0.746 to 0.797. In the validation set, the area under the curve was 0.722, with a 95 % CI of 0.680 to 0.763. The calibration curve analyses demonstrated that the prediction outcomes of the model aligned well with the actual outcomes, indicating good clinical applicability.

conclusionsThe nomogram demonstrated excellent performance and has the potential to serve as an auxiliary tool for detecting CKD in NAFLD patients.

Indexed as

NomogramsNon-alcoholic Fatty Liver DiseaseRenal Insufficiency, ChronicAdultAgedDatabases, FactualFemaleHumansMaleMiddle AgedNutrition SurveysPredictive Value of TestsReproducibility of ResultsRisk AssessmentRisk FactorsROC CurveChronic kidney diseaseNHANESNomogramNonalcoholic fatty liver diseasePrediction Model

Identifiers

PMID40339352
PMCPMC12133694

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.