ReviewWorld journal of nephrology2024
Challenges in predictive modelling of chronic kidney disease: A narrative review.
Review in World journal of nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Stachydrine: A Systematic Review of Its Multi-Targeted Therapeutic Potential in Cardiovascular, Oncology, Renal, Gynecological, and Inflammatory Disorders.Drug design, development and therapy · 2026Pooled it
- Gut microbiota biomarkers of chronic kidney disease progression identified by 16S rDNA sequencing and machine learning.Renal failure · 2026Article
- Gut microbiota and renal fibrosis: novel mechanistic insights and therapeutic potential.Acta pharmacologica Sinica · 2026Review
- Gut microbial-derived metabolites: key players in kidney disease and renal fibrosis.International journal of biological sciences · 2026Review
- Microbiota-gut-kidney axis in health and renal disease.International journal of biological sciences · 2026Review
- The overlap of ANCA associated vasculitis with Sjögren's syndrome in elderly male patient: a case report and literature review.Frontiers in medicine · 2026Article
- Acteoside-containing caffeic acid is bioactive functional group of antifibrotic effect by suppressing inflammation via inhibiting AHR nuclear translocation in chronic kidney disease.Acta pharmacologica Sinica · 2025Article
- Tryptophan metabolism as a target in gut microbiota, ageing and kidney disease.International journal of biological sciences · 2025Review
- Advancements in the non-invasive diagnosis of renal fibrosis.Frontiers in medicine · 2025Review
- Exosomes and Renal Fibrosis: Diagnostic Value, Therapeutic Potential and Challenges.International journal of nanomedicine · 2025Review
- Rhubarb: Traditional Uses, Phytochemistry, Multiomics-Based Novel Pharmacological and Toxicological Mechanisms.Drug design, development and therapy · 2025Review
- Efficacy and safety of Guben Tongluo formula in treating chronic kidney disease (stage G3): a multicenter randomized controlled clinical trial.Frontiers in medicine · 2025Article
- The prognostic nutritional index as a predictor of cardiovascular and all-cause mortality in chronic kidney disease: a population-based analysis of NHANES data (1999-2018).Frontiers in medicine · 2025Article
- Anthraquinones fromDrug design, development and therapy · 2025Review
- Application of SGLT-2 inhibitors in non-diabetic CKD: mechanisms, efficacy, and safety.Frontiers in medicine · 2025Review
- Case report and literature review: IgG4-related tubulointerstitial nephritis coexistent with systemic lupus erythematosus.Frontiers in medicine · 2025Article
- Fecal microbiota transplantation is a promising therapy for kidney diseases.Frontiers in medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The exponential rise in the burden of chronic kidney disease (CKD) worldwide has put enormous pressure on the economy. Predictive modeling of CKD can ease this burden by predicting the future disease occurrence ahead of its onset. There are various regression methods for predictive modeling based on the distribution of the outcome variable. However, the accuracy of the predictive model depends on how well the model is developed by taking into account the goodness of fit, choice of covariates, handling of covariates measured on a continuous scale, handling of categorical covariates, and number of outcome events per predictor parameter or sample size. Optimal performance of a predictive model on an independent cohort is desired. However, there are several challenges in the predictive modeling of CKD. Disease-specific methodological challenges hinder the development of a predictive model that is cost-effective and universally applicable to predict CKD onset. In this review, we discuss the advantages and challenges of various regression models available for predictive modeling and highlight those best for future CKD prediction.
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Identifiers
What Socratic holds
Registered trials
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 Socratic graph.