Evidence map›Paper›PMID 37901714›Full record

ArticleKidney diseases (Basel, Switzerland)2023

Development and Validation of a Nomogram for Renal Survival Prediction in Patients with Autosomal Dominant Polycystic Kidney Disease.

Xiaomei Wang, Rui Zheng, Zhende Liu, Ling Qi, Liang Gu, Xiaoping Wang, Shan Zhu, Mingyue Zhang, Danya Jia, Zhen Su

Abstract read
In one paragraph

Article in Kidney diseases (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Xiaomei WangDepartment of Nephrology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Rui ZhengDepartment of Critical Care Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Zhende LiuResearch Center for Intelligent Supercomputing, Zhejiang Laboratory, Hangzhou, China.
Ling QiDepartment of Nephrology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Liang GuDepartment of Nephrology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Xiaoping WangDepartment of Nephrology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Shan ZhuDepartment of Nephrology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Mingyue ZhangDepartment of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Danya JiaDepartment of Nephrology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Zhen SuDepartment of Nephrology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Due to the wide variation in the prognosis of autosomal dominant polycystic kidney disease (ADPKD), prediction of risk of renal survival in ADPKD patients is a tough challenge. We aimed to establish a nomogram for the prediction of renal survival in ADPKD patients. Methods: We conducted a retrospective observational cohort study in 263 patients with ADPKD. The patients were randomly assigned to a training set ( Results: The five independent factors used to construct the nomogram for prognosis prediction were age, htTKV, estimated glomerular filtration rate, hypertension, and hemoglobin. The calibration curve of predicted probabilities against observed renal survival indicated excellent concordance. The model showed very good discrimination with a C-index of 0.91 (0.83-0.99) and an area under the curve of 0.94, which were significantly higher than those of the htTKV model. Similarly, DCA demonstrated that the nomogram had a better net benefit than the htTKV model. Conclusion: The risk prediction nomogram, incorporating easily assessable clinical parameters, was effective for the prediction of renal survival in ADPKD patients. It can be a useful clinical adjunct for clinicians to evaluate the prognosis of ADPKD patients and provide individualized decision-making.

Indexed as

Autosomal dominant polycystic kidney diseaseEnd-stage renal diseaseNomogramPrediction modelRenal survival

Identifiers

PMID37901714
PMCPMC10601962

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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.