Evidence map›Paper›PMID 26932378›Full record

ArticleClinical and translational medicine2014

Application of clinical proteomics in acute respiratory distress syndrome.

Maneesh Bhargava, LeeAnn Higgins, Christine H Wendt, David H Ingbar

Abstract read
In one paragraph

Article in Clinical and translational medicine, 2014. 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. Article
  2. Translational medicine for acute lung injury.Journal of translational medicine · 2024
    Review
  3. Article
  4. Review
  5. BAL Fluid Metaproteome in Acute Respiratory Failure.American journal of respiratory cell and molecular biology · 2018
    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

4 authors.

Maneesh BhargavaDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Minnesota, Minneapolis, USA. bharg005@umn.edu.
LeeAnn HigginsBiochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, USA. higgi022@umn.edu.
Christine H WendtDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Minnesota, Minneapolis, USA. wendt005@umn.edu.
David H IngbarDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Minnesota, Minneapolis, USA. ingba001@umn.edu.

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR000114 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$35.0M
University of Minnesota Clinical and Translational Science Institute (UMN CTSI)KL2TR000113 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$5.4M
NCATS NIH HHS KL2 TR000113NCATS NIH HHS UL1 TR000114
6 · The paper itself

Abstract

Acute Respiratory Distress Syndrome (ARDS) is a devastating cause of hypoxic respiratory failure, which continues to have high mortality. It is expected that a comprehensive systems- level approach will identify global and complex changes that contribute to the development of ARDS and subsequent repair of the damaged lung. In the last decade, powerful genome-wide analytical and informatics tools have been developed, that have provided valuable insights into the mechanisms of complex diseases such as ARDS. These tools include the rapid and precise measure of gene expression at the proteomic level. This article reviews the contemporary proteomics platforms that are available for comprehensive studies in ARDS. The challenges of various biofluids that could be investigated and some of the studies performed are also discussed.

Indexed as

ALIARDSBioinformaticsBiomarkersProteomics

Identifiers

PMID26932378
PMCPMC4883989

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.