Evidence map›Paper›PMID 30534087›Full record

ReviewFrontiers in physiology2018

IL-17 in Peritoneal Dialysis-Associated Inflammation and Angiogenesis: Conclusions and Perspectives.

Janusz Witowski, Julian Kamhieh-Milz, Edyta Kawka, Rusan Catar, Achim Jörres

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

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

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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

5 authors at 3 institutions in 2 countries.

Janusz WitowskiDepartment of Pathophysiology, Poznan University of Medical Sciences, Poznań, Poland.
Julian Kamhieh-MilzDepartment of Transfusion Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Edyta KawkaDepartment of Pathophysiology, Poznan University of Medical Sciences, Poznań, Poland.
Rusan CatarDepartment of Nephrology, Medical Intensive Care, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Achim JörresDepartment of Medicine I, Nephrology, Transplantation, Medical Intensive Care, University of Witten/Herdecke, Cologne-Merheim Medical Center, Cologne, Germany.
Charité - Universitätsmedizin Berlin · DEPoznan University of Medical Sciences · PLWitten/Herdecke University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term peritoneal dialysis (PD) is associated with peritoneal membrane remodeling. This includes changes in peritoneal vasculature, which may ultimately lead to inadequate solute and water removal and treatment failure. The potential cause of such alterations is chronic inflammation induced by repeated episodes of infectious peritonitis and/or exposure to bioincompatible PD fluids. While these factors may jeopardize the peritoneal membrane integrity, it is not clear why adverse peritoneal remodeling develops only in some PD patients. Increasing evidence points to the differences that occur between patients in response to the same invading microorganism and/or the differences in the course of inflammatory reaction triggered by different species. Such differences may be related to the involvement of different inflammatory mediators. Here, we discuss the potential role of IL-17 in these processes with emphasis on its impact on peritoneal mesothelial cells and peritoneal vascularity.

Indexed as

angiogenesisfibrosisIL-17inflammationperitoneal dialysisperitonitisVEGF

Identifiers

PMID30534087
PMCPMC6275317
OpenAlexW2902990504

What OpenQuestion holds

Textmetadata
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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.