Evidence map›Paper›PMID 35368632›Full record

ArticleKidney3602020

Remote Treatment Monitoring on Hospitalization and Technique Failure Rates in Peritoneal Dialysis Patients.

Sheetal Chaudhuri, Hao Han, Carlos Muchiutti, Jessica Ryter, Marta Reviriego-Mendoza, Dugan Maddux, John W Larkin, Len A Usvyat, Dinesh Chatoth, Jeroen P Kooman and 1 more

Abstract read
In one paragraph

Article in Kidney360, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Effect of Remote and Virtual Technology on Home Dialysis.Clinical journal of the American Society of Nephrology : CJASN · 2024
    Review
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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

11 authors.

Sheetal ChaudhuriGlobal Medical Office, Fresenius Medical Care, Waltham, Massachusetts.
Hao HanGlobal Medical Office, Fresenius Medical Care, Waltham, Massachusetts.
Carlos MuchiuttiFresenius Medical Care North America, Waltham, Massachusetts.
Jessica RyterFresenius Medical Care North America, Waltham, Massachusetts.
Marta Reviriego-MendozaGlobal Medical Office, Fresenius Medical Care, Waltham, Massachusetts.
Dugan MadduxFresenius Medical Care North America, Waltham, Massachusetts.
John W LarkinGlobal Medical Office, Fresenius Medical Care, Waltham, Massachusetts.ORCID 0000-0001-8873-8971
Len A UsvyatGlobal Medical Office, Fresenius Medical Care, Waltham, Massachusetts.
Dinesh ChatothFresenius Medical Care North America, Waltham, Massachusetts.
Jeroen P KoomanMaastricht University Medical Center, Maastricht, The Netherlands; and.
Franklin W MadduxGlobal Medical Office, Fresenius Medical Care, Waltham, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: An integrated kidney disease healthcare company implemented a peritoneal dialysis (PD) remote treatment monitoring (RTM) application in 2016. We assessed if RTM utilization associates with hospitalization and technique failure rates. Methods: We used data from adult (age ≥18 years) patients on PD treated from October 2016 through May 2019 who registered online for the RTM. Patients were classified by RTM use during a 30-day baseline after registration. Groups were: nonusers (never entered data), moderate users (entered one to 15 treatments), and frequent users (entered >15 treatments). We compared hospital admission/day and sustained technique failure (required >6 consecutive weeks of hemodialysis) rates over 3, 6, 9, and 12 months of follow-up using Poisson and Cox models adjusted for patient/clinical characteristics. Results: Among 6343 patients, 65% were nonusers, 11% were moderate users, and 25% were frequent users. Incidence rate of hospital admission was 22% (incidence rate ratio [IRR]=0.78; Conclusions: Our findings suggest frequent use of an RTM application associates with less hospital admissions, shorter hospital length of stay, and lower technique failure rates. Adoption of RTM applications may have the potential to improve timely identification/intervention of complications.

Indexed as

Peritoneal DialysisAdolescentAdultHospitalizationHospitalsHumansIncidenceRenal DialysisChronic Kidney DiseaseDialysisEnd Stage Kidney DiseaseHospitalizationPeritoneal DialysisRemote MonitoringTechnique Failure

Identifiers

PMID35368632
PMCPMC8809254

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.