Evidence map›Paper›PMID 23346263›Full record

ArticleThe open respiratory medicine journal2012

Biomarkers of fibroproliferative healing in fibrosing idiopathic interstitial pneumonias.

Martina Vasakova, Martina Sterclova, Eliska Stranska, Petra Mandakova, Jelena Skibova, Radoslav Matej

Open access · hybridAbstract read
In one paragraph

Article in The open respiratory medicine journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 88% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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

6 authors at 3 institutions in 1 country.

Martina VasakovaDepartment of Respiratory Medicine, Thomayer Hospital, Videnska 800, 14059 Prague 4, Czech Republic.
Martina Sterclova
Eliska Stranska
Petra Mandakova
Jelena Skibova
Radoslav Matej
Thomayer University Hospital · CZCharles University · CZInstitute of Clinical and Experimental Medicine · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe main feature of fibrosing idiopathic interstitial pneumonias (fIIPs) is the fibroproliferative potential of underlying pathogenetic process. We hypothesize that the concentration of potential markers of fibroproliferative healing, PAR-2, TGF-β1, TNF-α and IL-4Rα in bronchoalveolar lavage fluid (BALF) differ in patients with fIIPs compared to controls (C). PATIENTS AND

methods10 patients with fIIPs and 9 controls (C) were included to the study. Concentrations of CD124 (IL4Rα), PAR-2, TGF-β1 and TNF-α in BALF were determined using the ELISA method.

resultsWe observed higher concentrations of IL4Rα (fIIPS 1499.4 pg/ml vs C 255.5 pg/ml; p < 0.05), PAR-2 (fIIPS 1807.9 pg/ml vs C 421.0 pg/ml; p < 0.05) and TGF-β1(fIIPS 283.0 pg/ml vs C 197.1 pg/ml; p < 0.01) in BALF in fIIPs versus C. The values of TNF-a in BALF did not differ significantly in fIIPs compared to controls. The ratios also showed differences in fIIPS and C: IL4Rα/TGF-β1 (fIIPS 6.19 vs C 0.68; p = 0.0143); TNF-α/IL4Rα (fIIPS 0.84 vs C 7.93; p = 0.043); TGF-β1/TNF-α (fIIPS 0.21 vs C 0.16; p = 0.0179) and protein/PAR-2 (fIIPS 0.06 vs C 0.28; p = 0.0033).

conclusionsWe found that PAR-2, TGF-β1 and IL-4Rα are significantly up-regulated in the BALF of fIIPs compared to controls, therefore we suppose they could become biomarkers of fibroproliferative healing.

Indexed as

biomarkersbronchoalveolar lavage fluidfibroproliferative healingIdiopathic interstitial pneumoniasIL4R.PAR-2TGF-beta

Identifiers

PMID23346263
PMCPMC3551240
OpenAlexW2037101553

What OpenQuestion 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 OpenQuestion graph.