Evidence map›Paper›PMID 35362819›Full record

Trial reportInternational urology and nephrology2022

Effects of a remote patient monitoring system for patients on automated peritoneal dialysis: a randomized crossover controlled trial.

Kiyotaka Uchiyama, Kohkichi Morimoto, Naoki Washida, Ei Kusahana, Takashin Nakayama, Tomoaki Itoh, Takahiro Kasai, Shu Wakino, Hiroshi Itoh

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in International urology and nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  12. Observational
  13. Evaluation of the Impact of Remote Monitoring Using the Sharesource Connectivity Platform on Adherence to Automated Peritoneal Dialysis in 51 Patients.Medical science monitor : international medical journal of experimental and clinical research · 2023
    Article
  14. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Kiyotaka UchiyamaDivision of Endocrinology, Metabolism and Nephrology Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
Kohkichi MorimotoApheresis and Dialysis Center, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan. kohkichi.morimoto@keio.jp.ORCID http://orcid.org/0000-0002-7652-6506
Naoki WashidaDivision of Endocrinology, Metabolism and Nephrology Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
Ei KusahanaDivision of Endocrinology, Metabolism and Nephrology Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
Takashin NakayamaDivision of Endocrinology, Metabolism and Nephrology Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
Tomoaki ItohDivision of Endocrinology, Metabolism and Nephrology Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
Takahiro KasaiDepartment of Nephrology, International University of Health and Welfare School of Medicine, 4-3, Kozunomori, Narita, Chiba, 286-8686, Japan.
Shu WakinoDivision of Endocrinology, Metabolism and Nephrology Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
Hiroshi ItohDivision of Endocrinology, Metabolism and Nephrology Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
Keio University · JPInternational University of Health and Welfare · JP

Funding

baxter ltd 04-080-5103
6 · The paper itself

Abstract

purposeRemote patient monitoring (RPM) has contributed to improved patient-centered outcomes and prognosis in patients with end-stage renal disease on automated peritoneal dialysis (APD). However, evidence from prospective trials is lacking.

methodsThe participants (n = 15; median age: 65 years; males: 10; peritoneal dialysis vintage: 6.4 ± 3.5 years) randomly received APD therapy using the Kaguya® APD system either with or without the connective use of the cloud-based RPM software Sharesource® for 12 weeks. The primary outcome was patient satisfaction assessed using a modified nine-item Treatment Satisfaction Questionnaire for Medication (TSQM-9) questionnaire. The secondary outcomes were healthcare resource consumption, the health-related quality of life (HRQOL) subscales assessed with the Kidney Disease Quality of Life-Short Form questionnaire, and clinical laboratory parameters.

resultsSignificant improvements were observed in the TSQM-9 subscales of Effectiveness (64.4 ± 18.8 vs. 57.8 ± 18.8; P = 0.006) and Convenience (76.3 ± 15.4 vs. 63.3 ± 17.3; P < 0.001) in patients on Sharesource®. Moreover, Sharesource® reduced the total amount of healthcare resource consumption (0.80 ± 1.32 vs. 1.87 ± 2.39 times/12 weeks; P = 0.02) and consultation time during regular monthly visits (813 ± 269 vs. 1024 ± 292 s; P < 0.001). A significant increase in ultrafiltration volume was found associated with more frequent modification of APD prescription in patients with Sharesource®. Sharesource® also improved the HRQOL subscale of General Health and Vitality.

conclusionSharesource® can improve patient-centered outcomes in patients on APD while reducing the treatment burden for both patients and medical staff.

trial registrationThe study was registered in the Japan Registry of Clinical Trials (jRCT Number: jRCTs032190005).

Indexed as

Kidney Failure, ChronicPeritoneal DialysisAgedHumansMaleMonitoring, PhysiologicPatient SatisfactionProspective StudiesQuality of LifeHealthcare resourceKaguyaPatient satisfactionQuality of lifeUltrafiltration

Identifiers

PMID35362819
PMCPMC8972739
OpenAlexW4220993934

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.