Evidence map›Paper›PMID 30915130›Full record

ArticleTanaffos2018

The Study of

Elham Zonoobi, Kayvan Saeedfar, Guitti Pourdowlat, Mohammad Reza Masjedi, Mehrdad Behmanesh

Open access · greenAbstract read
In one paragraph

Article in Tanaffos, 2018. 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
0.7field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Exploring the interplay betweenFrontiers in microbiology · 2023
    Article
  4. Article
  5. Resolution of allergic asthma.Seminars in immunopathology · 2019
    Review
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

5 authors at 3 institutions in 1 country.

Elham ZonoobiDepartment of Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.
Kayvan SaeedfarTracheal Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Guitti PourdowlatChronic Respiratory Diseases Research Center (CRDRC), National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohammad Reza MasjediTobacco Control Research Center, Iranian Anti-Tobacco Association, Tehran, Iran.
Mehrdad BehmaneshDepartment of Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.
Shahid Beheshti University of Medical Sciences · IRTarbiat Modares University · IRIranian Orthopedic Association · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAsthma is considered as a complex disorder in which genetics and environment play crucial role in its susceptibility. In addition to the huge financial costs that significantly reduce the quality of life of the patients and their families, it causes high prevalence of lung diseases. Finding contributing new genetic factors involved in early diagnosis or progression of asthma can provide novel approaches for treatment or managing of asthma. In the present study, the potential role of two key cytokines of MATERIALS AND

methodsUsing real-time PCR technique, we analyzed the expression levels of target genes in two groups of mild and severe asthma patient in comparison with healthy individuals.

resultsIn comparison with control population, obtained data showed 4 and 7-fold down-regulation of

conclusionObtained data revealed that deregulation

Indexed as

AsthmaCytokine expressionIL-10IL-17APBMC, qPCR

Identifiers

PMID30915130
PMCPMC6428381
OpenAlexW3010910907

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.