Evidence map›Paper›PMID 24567069›Full record

ReviewJournal of nephrology2014

Proteomics and diabetic nephropathy: what have we learned from a decade of clinical proteomics studies?

Massimo Papale, Salvatore Di Paolo, Grazia Vocino, Maria Teresa Rocchetti, Loreto Gesualdo

Erratum issuedAbstract readReview
PubMed Publisher
In one paragraph

Review in Journal of nephrology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Stratification of diabetic kidney diseasesFrontiers in endocrinology · 2022
    Article
  3. Proteomic Study of Low-Birth-Weight Nephropathy in Rats.International journal of molecular sciences · 2021
    Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Proteomic profile in glomeruli of type-2 diabetic KKAy mice using 2-dimensional differential gel electrophoresis.Medical science monitor : international medical journal of experimental and clinical research · 2014
    Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

5 authors.

Massimo PapaleCore Facility of Proteomics and Mass Spectrometry, Department of Surgery and Medical Sciences, University of Foggia, Foggia, Italy.
Salvatore Di Paolo
Grazia Vocino
Maria Teresa Rocchetti
Loreto Gesualdo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic nephropathy (DN) has become the most frequent cause of chronic kidney disease worldwide due to the constant increase of the incidence of type 2 diabetes mellitus in developed and developing countries. The understanding of the pathophysiological mechanisms of human diseases through a large-scale characterization of the protein content of a biological sample is the key feature of the proteomics approach to the study of human disease. We discuss the main results of over 10 years of tissue and urine proteomics studies applied to DN in order to understand how far we have come and how far we still have to go before obtaining a full comprehension of the molecular mechanisms involved in the pathogenesis of DN and identifying reliable biomarkers for accurate management of patients.

Indexed as

ProteomicsAnimalsBiomarkersDiabetic NephropathiesHumansKidneyPredictive Value of TestsPrognosisProteinsProteinuriaBiomarkersProteins

Identifiers

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.