Evidence map›Paper›PMID 38765568›Full record

ArticleKidney international reports2024

A Prospective Clinical Study to EvaluAte the AbiliTy of the CloudCath System to Detect Peritonitis During In-Home Peritoneal Dialysis (CATCH).

Rajnish Mehrotra, Don E Williamson, C Ross Betts, Barbara A Greco, Eric Yu, Aly El-Badry, Brian Fisher, Paul D Mehoudar, Benjamin Briggs, Glenn M Chertow

Abstract read
In one paragraph

Article in Kidney international reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. The future of peritoneal dialysis.Clinical kidney journal · 2024
    Article
  6. Article
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

10 authors.

Rajnish MehrotraDivision of Nephrology, Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA.
Don E WilliamsonCloudCath, Inc., San Francisco, California, USA.
C Ross BettsCoordinated Kidney Care Group and American Renal Associates, Butler, Pennsylvania, USA.
Barbara A GrecoRenal and Transplant Associates of New England, Springfield, Massachusetts, USA.
Eric YuCloudCath, Inc., San Francisco, California, USA.
Aly El-BadryCloudCath, Inc., San Francisco, California, USA.
Brian FisherCloudCath, Inc., San Francisco, California, USA.
Paul D MehoudarCloudCath, Inc., San Francisco, California, USA.
Benjamin BriggsDivision of Pediatric Infectious Diseases, Department of Pediatrics, University of Rochester, Rochester, New York, USA.
Glenn M ChertowDivision of Nephrology, Departments of Medicine, Epidemiology and Population Health, and Health Policy, Stanford University School of Medicine, Stanford, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Peritonitis is the leading complication of peritoneal dialysis (PD). Patients are instructed to seek care promptly for signs (cloudy effluent) or symptoms (abdominal pain), and earlier treatment improves outcomes. The CloudCath Peritoneal Dialysis Drain Set Monitoring (CloudCath) system monitors turbidity in dialysis effluent and sends notifications of changes signaling possible peritonitis. Methods: We conducted this single-arm, open-label, multicenter study of CloudCath system use during PD. We deactivated system notifications to participants and investigators, who followed standard-of-care for peritonitis signs and symptoms. Effectiveness endpoints measured time between CloudCath system notifications and peritonitis events using International Society of Peritoneal Dialysis (ISPD) criteria. Results: Two hundred forty-three participants used the CloudCath system for 178.8 patient-years. Of 71 potential peritonitis events, 51 events (0.29 per patient-year) met ISPD white blood cell (WBC) count criteria. The system triggered notifications for 41 of 51 events (80.4%), with a median lead time of 2.6 days (10%-90% range, -1.0 to 15.7; Conclusion: The CloudCath system detected peritonitis events during PD several days earlier than the current standard-of-care and has the capacity to send notifications that could expedite peritonitis diagnosis and treatment.

Indexed as

detectionperitoneal dialysisperitonitis

Identifiers

PMID38765568
PMCPMC11101817

What OpenQuestion holds

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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.