ReviewBMC nephrology2024
Modern tools for optimizing fluid management in dialysis patients: a comprehensive review.
Review in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Lung ultrasound for fluid assessment in patients receiving dialysis-a systematic review.Journal of nephrology · 2025Pooled it
- Physiologically-Guided Ultrafiltration: A Proposed Ultrasound Framework for Individualized Volume Removal During Hemodialysis.Nephrology (Carlton, Vic.) · 2026Review
- Lung ultrasound: a complementary dynamic method to estimate target weight in pediatric hemodialysis.Pediatric nephrology (Berlin, Germany) · 2026Article
- Multimodal Diagnostic Ultrasound for Congestion, Perfusion, and Ultrafiltration Tolerance in Maintenance Hemodialysis: A Narrative Review.Diagnostics (Basel, Switzerland) · 2026Review
- Personalized nutrition in haemodialysis: a scoping review of studies published between 2015 and 2025.Clinical kidney journal · 2026Review
- The role of thoracic ultrasound in fluid management in critical care: a narrative review.Journal of thoracic disease · 2026Review
- Intra-Dialytic Hypotension and the VExUS Assessment in Hospitalized Patients: A Prospective Cohort Study.Cardiorenal medicine · 2026Article
- Association between venous excess ultrasound score and major adverse kidney events at 30 days in critically ill elderly patients: a multicenter prospective cohort study.Frontiers in medicine · 2026Article
- Choosing the right antihypertensive drug to avoid intradialytic hypotension.Clinical kidney journal · 2025Article
- Decongestion in patients with advanced chronic kidney disease coexisting with heart failure.Clinical kidney journal · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Maintaining optimal fluid balance is crucial for patients with end-stage renal disease on dialysis, as both fluid overload and excess removal can lead to poor outcomes. Traditional approaches such as physical exam and chest X-ray have limitations when assessing volume status. This review carefully examines the tools that provide more precise options, including lung ultrasound, echocardiography, Venous Excess Ultrasound (VEXUS), bioimpedance analysis (BIA), and passive leg raise (PLR). We discuss the principles, supporting evidence, and practical uses of these techniques differentiating between static and dynamic methods to evaluate ultrafiltration tolerance. By integrating these modern techniques with clinical judgment, nephrologists can optimize fluid management in dialysis patients. While these tools show promise, further research is needed to establish standardized protocols and evaluate their impact on patient-centered outcomes.
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.