ArticleKidney international reports2017
Remote Patient Management for Home Dialysis Patients.
Article in Kidney international reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Remote monitoring of automated peritoneal dialysis reduces mortality, adverse events and hospitalizations: a cluster-randomized controlled trial.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025Trial
- Effects of a remote patient monitoring system for patients on automated peritoneal dialysis: a randomized crossover controlled trial.International urology and nephrology · 2022Trial
- Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea.Scientific reports · 2020Trial
- Telemedicine-supported assisted home hemodialysis in elderly and multimorbid patients: a real-world cohort study in a public healthcare system.International urology and nephrology · 2026Observational
- KDIGO Workshop Report on the Implementation and Expansion of Home Hemodialysis in East Asia: A Focus on Hong Kong, Japan, Korea, and Taiwan.Kidney international reports · 2026Article
- Teledialysis in Community Settings: Evaluation of Feasibility, Safety and Effectiveness.International journal of telemedicine and applications · 2026Article
- A Comparison of Hospitalization Outcomes Between Peritoneal Dialysis and Home Hemodialysis Patients by Sex and Race.Kidney international reports · 2025Article
- Effect of Remote and Virtual Technology on Home Dialysis.Clinical journal of the American Society of Nephrology : CJASN · 2024Review
- Use of eHealth and remote patient monitoring: a tool to support home dialysis patients, with an emphasis on peritoneal dialysis.Clinical kidney journal · 2024Article
- Review
- Scheduling of Remote Monitoring for Peritoneal Dialysis Patients.Journal of clinical medicine · 2024Article
- Lab on a Chip Device for Diagnostic Evaluation and Management in Chronic Renal Disease: A Change Promoting Approach in the Patients' Follow Up.Biosensors · 2023Review
- Proposal of a Context-sensitive ECG Collection Mobile Health System for Ambulatory Cardiovascular Diseases.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2023Article
- Should More Patients with Kidney Failure Bring Treatment Home? What We Have Learned from COVID-19.Kidney diseases (Basel, Switzerland) · 2022Review
- Hurdles to developing and scaling remote patients' health management tools and systems: a scoping review.Systematic reviews · 2022Article
- Why Peritoneal Dialysis is Underutilized in the United States: A Review of Inequities.Seminars in interventional radiology · 2022Review
- Time on Therapy of Automated Peritoneal Dialysis with and without Remote Patient Monitoring: A Cohort Study.International journal of nephrology · 2022Article
- Patient and Clinician Perspectives on the use of Remote Patient Monitoring in Peritoneal Dialysis.Canadian journal of kidney health and disease · 2022Article
- Effect of Combining Conventional and Telehealth Methods on Managing Peritoneal Dialysis Patients: A Retrospective Single-Center Study.International journal of clinical practice · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
Remote patient management (RPM) offers renal health care providers and patients with end-stage kidney disease opportunities to embrace home dialysis therapies with greater confidence and the potential to obtain better clinical outcomes. Barriers and evidence required to increase adoption of RPM by the nephrology community need to be clearly defined. Ten health care providers from specialties including nephrology, cardiology, pediatrics, epidemiology, nursing, and health informatics with experience in home dialysis and the use of RPM systems gathered in Vienna, Austria to discuss opportunities for, barriers to, and system requirements of RPM as it applies to the home dialysis patient. Although improved outcomes and cost-effectiveness of RPM have been demonstrated in patients with diabetes mellitus and heart disease, only observational data on RPM have been gathered in patients on dialysis. The current review focused on RPM systems currently in use, on how RPM should be integrated into future care, and on the evidence needed for optimized implementation to improve clinical and economic outcomes. Randomized controlled trials and/or large observational studies could inform the most effective and economical use of RPM in home dialysis. These studies are needed to establish the value of existing and/or future RPM models among patients, policy makers, and health care providers.
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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.