Evidence map›Paper›PMID 19224215›Full record

ArticleDer Pathologe2009

[Gene expression analyses of kidney biopsies: the European renal cDNA bank--Kröner-Fresenius biopsy bank].

C D Cohen, M Kretzler

Abstract readEnglish Abstract
PubMed Publisher
In one paragraph

Article in Der Pathologe, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Integrated multiomic analyses: An approach to improve understanding of diabetic kidney disease.Diabetic medicine : a journal of the British Diabetic Association · 2025
    Review
  2. Article
  3. Precision Medicine in Nephrology: An Integrative Framework of Multidimensional Data in the Kidney Precision Medicine Project.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024
    Article
  4. Cellular and molecular interrogation of kidney biopsy specimens.Current opinion in nephrology and hypertension · 2022
    Review
  5. 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

2 authors.

C D CohenKlinik für Nephrologie und Institut für Physiologie mit Zentrum für integrative Humanphysiologie, Universitätsspital und Universität Zürich, Zürich, Schweiz. clemens.cohen@usz.ch
M Kretzler

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Histological analysis of kidney biopsies is an essential part of our current diagnostic workup of patients with renal disease. Besides the already established diagnostic tools, new methods allow extensive analysis of the sample tissue's gene expression. Using results from a European multicenter study on gene expression analysis of renal biopsies, in this review we demonstrate that this novel approach not only expands the scope of so-called basic research but also might supplement future biopsy diagnostics. The goals are improved diagnosis and more specific therapy choice and prognosis estimates.

Indexed as

Databases, GeneticDatabases, Nucleic AcidGene ExpressionEuropeHumansKidneyKidney DiseasesPrognosisProteomicsRNARNA

Identifiers

What OpenQuestion holds

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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.