ArticleInternational journal of environmental research and public health2021
Development and Validation of a Machine Learning Model Predicting Arteriovenous Fistula Failure in a Large Network of Dialysis Clinics.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review of risk prediction models for arteriovenous fistula dysfunction in maintenance hemodialysis patients.PloS one · 2025Pooled it
- Artificial Intelligence and Sensing Technologies for Vascular Access in Hemodialysis: A Narrative Review.Sensors (Basel, Switzerland) · 2026Review
- From algorithms to action: Risk stratification for arteriovenous fistula failure in hemodialysis.The journal of vascular access · 2026Article
- Computational Frontiers in Arteriovenous Fistula Maturation: A Review of Fluid Dynamics and Machine Learning Models.Journal of the American Society of Nephrology : JASN · 2026Review
- Review
- An interpretable XGBoost model for predicting arteriovenous fistula dysfunction in end stage renal disease.Frontiers in surgery · 2026Article
- Construction and validation of a nomogram to predict 1-year mortality risk in patients with HIV/AIDS undergoing maintenance hemodialysis.Renal failure · 2025Article
- Hemodialysis vascular access flow surveillance: Current evidence and future directions.Journal of the Chinese Medical Association : JCMA · 2025Review
- Machine learning validation of the AVAS classification compared to ultrasound mapping in a multicentre study.Scientific reports · 2025Article
- Prognostic nomogram for the patency of wrist autologous arteriovenous fistula in first year.iScience · 2024Article
- Prediction of Vascular Access Stenosis by Lightweight Convolutional Neural Network Using Blood Flow Sound Signals.Sensors (Basel, Switzerland) · 2024Article
- Integrating vascular access surveillance with clinical monitoring for stenosis prediction.Journal of nephrology · 2024Article
- From electronic health records to clinical management systems: how the digital transformation can support healthcare services.Clinical kidney journal · 2023Review
- Rethinking an effective AV fistula-graft screening program. An "A B C".Journal of nephrology · 2023Article
- Deep learning analysis of blood flow sounds to detect arteriovenous fistula stenosis.NPJ digital medicine · 2023Article
- Data Science in Healthcare: COVID-19 and Beyond.International journal of environmental research and public health · 2022Article
- Intradialytic techniques for automatic and everyday access monitoring.Seminars in dialysisReview
- Risk Prediction of Arteriovenous Fistula Dysfunction in Hemodialysis Patients Using Routine Clinical Indicators.Kidney diseases (Basel, Switzerland)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
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.