ArticleInternational journal of environmental research and public health2022
Associations between Sex and Risk Factors for Predicting Chronic Kidney Disease.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
8 citing papers in PubMed, 23 citations in OpenAlex.
- Clinical impact of genetic testing in inherited kidney diseases.Clinical kidney journal · 2026Article
- Association between cholecystectomy and chronic kidney disease risk: a nationally retrospective cohort study.Translational gastroenterology and hepatology · 2025Article
- Biopsychosocial Factors Associated with Activities of Daily Living Limitations in Chronic Kidney Disease Patients: Insights from the Brazilian Population.International journal of environmental research and public health · 2024Article
- Sex differences in the association of dietary inflammatory index with chronic kidney disease in US adults.Scientific reports · 2024Article
- Use of consensus clustering to identify distinct subtypes of chronic kidney disease and associated mortality risk.Scientific reports · 2024Article
- Exploring Predictive Factors for Heart Failure Progression in Hypertensive Patients Based on Medical Diagnosis Data from the MIMIC-IV Database.Bioengineering (Basel, Switzerland) · 2024Article
- Risk Prediction Model for Chronic Kidney Disease in Thailand Using Artificial Intelligence and SHAP.Diagnostics (Basel, Switzerland) · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gender is an important risk factor in predicting chronic kidney disease (CKD); however, it is under-researched. The purpose of this study was to examine whether gender differences affect the risk factors of early CKD prediction. This study used data from 19,270 adult health screenings, including 5101 with CKD, to screen for 11 independent variables selected as risk factors and to test for the significant effects of statistical Chi-square test variables, using seven machine learning techniques to train the predictive models. Performance indicators included classification accuracy, sensitivity, specificity, and precision. Unbalanced category issues were addressed using three extraction methods: manual sampling, the synthetic minority oversampling technique, and SpreadSubsample. The Chi-square test revealed statistically significant results (
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.