Evidence map›Paper›PMID 24678881›Full record

ArticleFibrogenesis & tissue repair2014

The extracellular matrix in the kidney: a source of novel non-invasive biomarkers of kidney fibrosis?

Federica Genovese, Alba A Manresa, Diana Julie Leeming, Morten Asser Karsdal, Peter Boor

Open access · hybridAbstract read
In one paragraph

Article in Fibrogenesis & tissue repair, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 177 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
177citing papers in PubMed, 2 pooled it
13.4field-weighted citation impact, top 1% 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

177 citing papers in PubMed, 2 syntheses or guidelines pooled it, 329 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Kidney Elastography in Adult Nephrology: A Narrative Review.Diagnostics (Basel, Switzerland) · 2026
    Review
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  16. [Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025
    Article
  17. Review
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117 more citing papers are in PubMed but not listed here.

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 2 institutions in 3 countries.

Federica GenoveseNordic Bioscience, 2730 Herlev, Denmark. fge@nordicbioscience.com.
Alba A Manresa
Diana Julie Leeming
Morten Asser Karsdal
Peter Boor
Nordic Bioscience (Denmark) · DKRWTH Aachen University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interstitial fibrosis is the common endpoint of end-stage chronic kidney disease (CKD) leading to kidney failure. The clinical course of many renal diseases, and thereby of CKD, is highly variable. One of the major challenges in deciding which treatment approach is best suited for a patient but also in the development of new treatments is the lack of markers able to identify and stratify patients with stable versus progressive disease. At the moment renal biopsy is the only means of diagnosing renal interstitial fibrosis. Novel biomarkers should improve diagnosis of a disease, estimate its prognosis and assess the response to treatment, all in a non-invasive manner. Existing markers of CKD do not fully and specifically address these requirements and in particular do not specifically reflect renal fibrosis. The aim of this review is to give an insight of the involvement of the extracellular matrix (ECM) proteins in kidney diseases and as a source of potential novel biomarkers of renal fibrosis. In particular the use of the protein fingerprint technology, that identifies neo-epitopes of ECM proteins generated by proteolytic cleavage by proteases or other post-translational modifications, might identify such novel biomarkers of renal fibrosis.

Identifiers

PMID24678881
PMCPMC3986639
OpenAlexW2108579114

What OpenQuestion holds

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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.