Evidence map›Paper›PMID 27076594›Full record

ReviewThe European respiratory journal2016

Microarray analysis in pulmonary hypertension.

Julia Hoffmann, Jochen Wilhelm, Andrea Olschewski, Grazyna Kwapiszewska

Open access · bronzeAbstract readReview
In one paragraph

Review in The European respiratory journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% of its field
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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Review
  6. Article
  7. Dissecting the lung transcriptome of pulmonary fibrosis-associated pulmonary hypertension.American journal of physiology. Lung cellular and molecular physiology · 2024
    Article
  8. Article
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  10. Review
  11. Article
  12. Bioinformatic identification of hub genesFrontiers in neuroscience · 2023
    Article
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  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
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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 at 3 institutions in 2 countries.

Julia HoffmannLudwig Boltzmann Institute for Lung Vascular Research, Graz, Austria.
Jochen WilhelmDept of Internal Medicine, Justus-Liebig-University Giessen, Universities of Giessen and Marburg Lung Center, German Center for Lung Research, Giessen, Germany.
Andrea OlschewskiLudwig Boltzmann Institute for Lung Vascular Research, Graz, Austria Dept of Experimental Anaesthesiology, Medical University of Graz, Graz, Austria.
Grazyna KwapiszewskaLudwig Boltzmann Institute for Lung Vascular Research, Graz, Austria Dept of Experimental Anaesthesiology, Medical University of Graz, Graz, Austria Grazyna.Kwapiszewska@lvr.lbg.ac.at.
Ludwig Boltzmann Institute for Lung Vascular Research · ATGerman Center for Lung Research · DEMedical University of Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microarrays are a powerful and effective tool that allows the detection of genome-wide gene expression differences between controls and disease conditions. They have been broadly applied to investigate the pathobiology of diverse forms of pulmonary hypertension, namely group 1, including patients with idiopathic pulmonary arterial hypertension, and group 3, including pulmonary hypertension associated with chronic lung diseases such as chronic obstructive pulmonary disease and idiopathic pulmonary fibrosis. To date, numerous human microarray studies have been conducted to analyse global (lung homogenate samples), compartment-specific (laser capture microdissection), cell type-specific (isolated primary cells) and circulating cell (peripheral blood) expression profiles. Combined, they provide important information on development, progression and the end-stage disease. In the future, system biology approaches, expression of noncoding RNAs that regulate coding RNAs, and direct comparison between animal models and human disease might be of importance.

Indexed as

Microarray AnalysisAnimalsDisease Models, AnimalGene Expression RegulationHumansHypertension, PulmonaryIdiopathic Pulmonary FibrosisLungMiceOligonucleotide Array Sequence AnalysisPulmonary Disease, Chronic ObstructiveRatsRNARNA

Identifiers

PMID27076594
PMCPMC5009873
OpenAlexW2341296804

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.