ReviewSeminars in dialysis
Remote Patient Monitoring in Home Dialysis Patients: Enhancing Care for Home Hemodialysis and Peritoneal Dialysis.
Review in Seminars in dialysis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Current and Future Applications of AI-Driven Predictive Modeling and a Proposed Framework for AI-Bioprognostics in Kidney Care.Risk management and healthcare policy · 2026Review
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
backgroundChronic kidney disease (CKD) patients on hemodialysis need continuous care, which has a minimal effect on their quality of life (QoL), as they have enormous symptomatic burdens, such as deprivation of sleep and anxiety, in addition to other consequences affecting their QoL. Moreover, managing dialysis patients is burdensome and costly. Telemedicine has recently gained popularity for electronically transferring data between patients and clinics. This has enabled remote monitoring of patients and timely intervention. Remote patient monitoring (RPM) is a noninvasive healthcare service designed to remotely manage patients' vital information and facilitate continuous data collection. The emergence of RPM has led to a transformative approach in the management of chronic conditions, particularly within the context of home dialysis for patients undergoing home hemodialysis (HHD) and peritoneal dialysis (PD).
methodsThis narrative review summarizes the current literature on the use of RPM in home dialysis settings. Relevant publications addressing RPM applications in HHD and PD were reviewed, and evidence was synthesized, with a focus on current practices, clinical outcomes, key advantages, limitations, and future directions for research and implementation, underscoring the potential of RPM to enhance care delivery in home dialysis.
resultsRPM enables continuous monitoring of patient health data, promoting early detection of clinical issues and timely intervention. Reported benefits include improved patient engagement, treatment adherence, QoL, mortality, and reduced rates of hemodialysis transfers and hospitalization. RPM also supports more efficient communication between patients and healthcare providers. However, several challenges to broader implementation persist, including technological limitations, concerns regarding data privacy and security, and variable acceptance and adoption among patients and healthcare professionals.
conclusionsIn conclusion, RPM has the potential to enhance home dialysis care by improving clinical outcomes, patient engagement, and healthcare efficiency. Addressing technological, privacy, adoption, and regulatory challenges will be critical to its broader implementation and long-term success.
Indexed as
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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.