Evidence map›Paper›PMID 33163718›Full record

ArticleKidney international reports2020

Novel Method for Osmotic Conductance to Glucose in Peritoneal Dialysis.

Giedre Martus, Karin Bergling, Ole Simonsen, Eric Goffin, Johann Morelle, Carl M Öberg

Abstract read
In one paragraph

Article in Kidney international reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Giedre MartusDepartment of Clinical Sciences Lund, Nephrology Division, Skane University Hospital, Lund University, Lund, Sweden.
Karin BerglingDepartment of Clinical Sciences Lund, Nephrology Division, Skane University Hospital, Lund University, Lund, Sweden.
Ole SimonsenDepartment of Clinical Sciences Lund, Nephrology Division, Skane University Hospital, Lund University, Lund, Sweden.
Eric GoffinDivision of Nephrology, Cliniques Universitaires Saint-Luc, Brussels, Belgium.
Johann MorelleDivision of Nephrology, Cliniques Universitaires Saint-Luc, Brussels, Belgium.
Carl M ÖbergDepartment of Clinical Sciences Lund, Nephrology Division, Skane University Hospital, Lund University, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe osmotic conductance to glucose (OCG) is a crucial determinant of ultrafiltration (UF) in peritoneal dialysis (PD) patients and can be used to monitor membrane integrity in patients on long-term PD. It has been proposed that OCG can be assessed based on drained volumes in 2 consecutive 1-hour glucose dwells, usually 1.5% and 4.25% glucose, in a so-called double mini-peritoneal equilibration test (dm-PET). However, recent data indicated that the dm-PET provides a poor estimate of OCG unless the residual volume (RV) is taken into account. We introduce an easy, robust, and accurate method to measure OCG and compare it with conventional methods.

methodsIn a prospective cohort of 21 PD patients, a modified version of the dm-PET was performed, along with the determination of RV before, between, and after dwells. Based on computer simulations derived from the 3-pore model (TPM) for membrane permeability, we developed and validated a novel single-dwell method to estimate OCG. We next validated the equation in an independent cohort consisting of 32 PD patients.

resultsSingle-dwell OCG correlated more closely with actual UF (

conclusionWe propose a novel, easy, and robust single-dwell method to determine OCG in individual patients and to monitor membrane integrity over time on PD.

Indexed as

osmotic conductanceosmotic water transportperitoneal dialysisperitoneal equilibration testultrafiltration

Identifiers

PMID33163718
PMCPMC7610002

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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.