Evidence map›Paper›PMID 15566603›Full record

ArticleCritical care (London, England)2004

Genetic epidemiology of acute lung injury: choosing the right candidate genes is the first step.

Jason D Christie

Abstract readComment
In one paragraph

Article in Critical care (London, England), 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Epigenetic contribution of the myosin light chain kinase gene to the risk for acute respiratory distress syndrome.Translational research : the journal of laboratory and clinical medicine · 2017
    Article
  2. Review
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Jason D ChristieDivision of Pulmonary and Critical Care Medicine, Department of Medicine, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA. jchristi@cceb.med.upenn.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In an innovative scientific review in this issue, Grigoryev and colleagues report a method for choosing candidate genes for acute lung injury (ALI) based on gene expression data derived from multiple animal models of mechanical ventilation and shear stress. The authors conclude there are five key biologic processes that warrant further investigation: inflammatory and immune responses, cell proliferation, chemotaxis, and blood coagulation. This review represents an important first step toward studying the genetic epidemiology of ventilator-induced lung injury and ALI. The application of these findings to future human studies of the genetic influence on ALI risks and outcomes is discussed here.

Indexed as

Respiration, ArtificialAnimalsCritical IllnessDisease Models, AnimalGenetic Predisposition to DiseaseGenetics, PopulationHumansOligonucleotide Array Sequence AnalysisPolymorphism, GeneticPrognosisRespiratory Distress Syndrome

Identifiers

PMID15566603
PMCPMC1065050

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.