Evidence map›Paper›PMID 26491976›Full record

ReviewNephron2015

Genomic and Proteomic Characterization of Acute Kidney Injury.

Prasad Devarajan

Abstract readReview
In one paragraph

Review in Nephron, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Pediatric acute kidney injury: prevalence, impact and management challenges.International journal of nephrology and renovascular disease · 2017
    Review
  10. Article
  11. Article
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

1 author.

Prasad DevarajanNephrology and Hypertension, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.

Funding

UAB-UCSD O'Brien Core Center for Acute Kidney Injury ResearchP30DK079337 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI AGARWAL, ANUPAM · 2008 to 2022
$18.3M
Proteomics CoreP50DK096418 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI DEVARAJAN, PRASAD · 2012 to 2021
$8.4M
NIDDK NIH HHS P30 DK079337NIDDK NIH HHS P50 DK096418
6 · The paper itself

Abstract

The incidence and severity of acute kidney injury (AKI) is rising globally, and the associated morbidity and mortality remain high despite promising advances in experimental therapeutics. The reasons include (a) an incomplete understanding of the complex pathophysiology, (b) an inability to reliably identify risk factors for AKI and (c) a lack of biomarkers for the early prediction of AKI and its outcomes. Functional genomics, bioinformatics and proteomics have begun to uncover candidates that are emerging as biomarkers and therapeutic targets. This review will update the reader on current technologies in genomics (including targeted sequencing, genome wide association studies and transcriptome profiling) and proteomics (including gel electrophoresis and mass spectrometry methods) and their application on human AKI.

Indexed as

GenomicsProteomicsAcute Kidney InjuryBiomarkersHumansBiomarkers

Identifiers

PMID26491976
PMCPMC5650729

What OpenQuestion holds

Textmetadata
LicenceTDM
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.