Evidence map›Paper›PMID 19367311›Full record

ArticleKidney international2009

Tissue proteomics: a new investigative tool for renal biopsy analysis.

John R Sedor

Abstract readComment
PubMed Publisher
In one paragraph

Article in Kidney international, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Proteomic analysis of formalin-fixed paraffin-embedded glomeruli suggests depletion of glomerular filtration barrier proteins in two-kidney, one-clip hypertensive rats.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2014
    Article
  5. Mass spectrometry-based proteomic diagnosis of renal immunoglobulin heavy chain amyloidosis.Clinical journal of the American Society of Nephrology : CJASN · 2010
    Article
  6. Screening for chronic kidney disease in HIV-infected patients.Advances in chronic kidney disease · 2010
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

John R SedorDepartment of Medicine, Case Western Reserve University School of Medicine and the CWRU Center for the Study of Kidney Biology and Disease, Cleveland, Ohio, USA. jrs4@case.e

Funding

GENETIC REGULATION OF RENAL DISEASE PROGRESSIONU01DK057329 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI SEDOR, JOHN R. · 1999 to 2006
$2.3M
NIDDK NIH HHS U01 DK057329
6 · The paper itself

Abstract

Renal biopsy is viewed as the gold standard for diagnosis and management of many kidney diseases, especially glomerulopathies. However, the histopathological descriptions currently used in clinical practice often are neither diagnostic nor prognostic. The paper by Sethi et al. highlights the availability of a newer investigative tool that can be used to better define pathogenesis and, perhaps more important, to discover robust biomarkers of kidney disease cause and outcome.

Indexed as

BiopsyHumansKidneyKidney DiseasesMass SpectrometryMicrodissectionProteinsProteomicsProteins

Identifiers

PMID19367311

What OpenQuestion holds

Textmetadata
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.