Evidence map›Paper›PMID 34287333›Full record

ArticleProteomes2021

A Novel Urinary Proteomics Classifier for Non-Invasive Evaluation of Interstitial Fibrosis and Tubular Atrophy in Chronic Kidney Disease.

Lorenzo Catanese, Justyna Siwy, Emmanouil Mavrogeorgis, Kerstin Amann, Harald Mischak, Joachim Beige, Harald Rupprecht

Open access · goldAbstract read
In one paragraph

Article in Proteomes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
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  5. [Histology and more-modern nephropathology].Innere Medizin (Heidelberg, Germany) · 2026
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  10. Contemporary Perspectives on Chronic Renal Disorders.Chronic diseases and translational medicine · 2025
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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

7 authors at 3 institutions in 1 country.

Lorenzo CataneseDepartment of Nephrology, Angiology and Rheumatology, Klinikum Bayreuth GmbH, 95447 Bayreuth, Germany.ORCID 0000-0002-9933-8364
Justyna SiwyMosaiques Diagnostics GmbH, 30659 Hannover, Germany.ORCID 0000-0003-1407-2534
Emmanouil MavrogeorgisMosaiques Diagnostics GmbH, 30659 Hannover, Germany.
Kerstin AmannDepartment of Nephropathology, Institute of Pathology, University of Erlangen-Nürnberg, 91054 Erlangen, Germany.
Harald MischakMosaiques Diagnostics GmbH, 30659 Hannover, Germany.ORCID 0000-0003-0323-0306
Joachim BeigeDepartment of Infectious Diseases/Tropical Medicine, Nephrology/KfH Renal Unit and Rheumatology, St. Georg Hospital Leipzig, 04129 Leipzig, Germany.
Harald RupprechtDepartment of Nephrology, Angiology and Rheumatology, Klinikum Bayreuth GmbH, 95447 Bayreuth, Germany.ORCID 0000-0001-5761-2911
Friedrich-Alexander-Universität Erlangen-Nürnberg · DEMosaiques Diagnostics and Therapeutics (Germany) · DEKlinikum St. Georg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-invasive urinary peptide biomarkers are able to detect and predict chronic kidney disease (CKD). Moreover, specific urinary peptides enable discrimination of different CKD etiologies and offer an interesting alternative to invasive kidney biopsy, which cannot always be performed. The aim of this study was to define a urinary peptide classifier using mass spectrometry technology to predict the degree of renal interstitial fibrosis and tubular atrophy (IFTA) in CKD patients. The urinary peptide profiles of 435 patients enrolled in this study were analyzed using capillary electrophoresis coupled with mass spectrometry (CE-MS). Urine samples were collected on the day of the diagnostic kidney biopsy. The proteomics data were divided into a training (

Indexed as

biomarkersfibrosisIFTApeptidesurine

Identifiers

PMID34287333
PMCPMC8293473
OpenAlexW3185761764

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.