Evidence map›Paper›PMID 38313685›Full record

ArticleClinical kidney journal2024

Differentiating primary and secondary FSGS using non-invasive urine biomarkers.

Lorenzo Catanese, Justyna Siwy, Ralph Wendt, Kerstin Amann, Joachim Beige, Bruce Hendry, Harald Mischak, William Mullen, Ian Paterson, Mario Schiffer and 2 more

Abstract read
In one paragraph

Article in Clinical kidney journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
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

12 authors.

Lorenzo CataneseDepartment of Nephrology, Angiology and Rheumatology, Klinikum Bayreuth GmbH, Bayreuth, Germany.
Justyna SiwyMosaiques Diagnostics GmbH, Hannover, Germany.
Ralph WendtDivision of Nephrology, St. Georg Hospital Leipzig, Leipzig, Germany.
Kerstin AmannDepartment of Nephropathology, Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Joachim BeigeKuratorium for Dialysis and Transplantation (KfH) Renal Unit, Leipzig, Germany.ORCID https://orcid.org/0000-0002-1907-825X
Bruce HendryTravere Therapeutics, San Diego, CA, USA.
Harald MischakMosaiques Diagnostics GmbH, Hannover, Germany.
William MullenInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Ian PatersonTravere Therapeutics, San Diego, CA, USA.
Mario SchifferDepartment of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander University (FAU) Erlangen-Nürnberg, Erlangen, Germany.
Michael WolfTravere Therapeutics, Dublin, Ireland.
Harald RupprechtDepartment of Nephrology, Angiology and Rheumatology, Klinikum Bayreuth GmbH, Bayreuth, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Focal segmental glomerulosclerosis (FSGS) is divided into genetic, primary (p), uncertain cause, and secondary (s) forms. The subclasses differ in management and prognosis with differentiation often being challenging. We aimed to identify specific urine proteins/peptides discriminating between clinical and biopsy-proven pFSGS and sFSGS. Methods: Sixty-three urine samples were collected in two different centers (19 pFSGS and 44 sFSGS) prior to biopsy. Samples were analysed using capillary electrophoresis-coupled mass spectrometry. For biomarker definition, datasets of age-/sex-matched normal controls (NC, Results: Proteomics data from patients with pFSGS were first compared to NC ( Conclusion: A urine peptide-based classifier that selectively detects pFSGS could be developed. Specificity of 95%-99% could be assessed in independent samples. Sensitivity must be confirmed in independent cohorts before routine clinical application.

Indexed as

biomarkersFSGSnon-invasivepeptidesproteomicsurine

Identifiers

PMID38313685
PMCPMC10833144

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.