Evidence map›Paper›PMID 33747278›Full record

ArticleArchives of medical science : AMS2021

NGS study of glucocorticoid response genes in inflammatory bowel disease patients.

Marzena Skrzypczak-Zielinska, Marcin Gabryel, Daria Marszalek, Agnieszka Dobrowolska, Ryszard Slomski

Open access · goldAbstract read
In one paragraph

Article in Archives of medical science : AMS, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
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  4. Annals of translational medicine · 2022
    Article
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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

5 authors at 3 institutions in 1 country.

Marzena Skrzypczak-ZielinskaInstitute of Human Genetics, Polish Academy of Sciences, Poznan, Poland.
Marcin GabryelDepartment of Gastroenterology, Dietetics and Internal Diseases, Poznan University of Medical Sciences, Poznan, Poland.
Daria MarszalekInstitute of Human Genetics, Polish Academy of Sciences, Poznan, Poland.
Agnieszka DobrowolskaDepartment of Gastroenterology, Dietetics and Internal Diseases, Poznan University of Medical Sciences, Poznan, Poland.
Ryszard SlomskiInstitute of Human Genetics, Polish Academy of Sciences, Poznan, Poland.
Polish Academy of Sciences · PLPoznan University of Medical Sciences · PLInstitute of Human Genetics · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDespite intensive research and a long history of glucocorticoids being applied in various clinical areas, they still generate a challenge for personalized medicine by causing resistance or dependence in nearly 50% of patients treated. The objective of the present study was to determine the genetic predictors of variable reactions in inflammatory bowel disease patients to glucocorticoid therapy. Therefore, based on the current knowledge on how glucocorticoids act, we have compiled a panel of 21 genes for variant analysis: MATERIAL AND

methodsThese genes were analyzed using the amplicon next-generation sequencing method in a group of 139 diagnosed and clinically characterized inflammatory bowel disease patients with a confirmed glucocorticoid response.

resultsAnalysis of all the targeted DNA sequences for the whole patient group indicated 121 different functional variants. After association analyses of 31 selected variants, the polymorphism c.1088A>G in the

conclusionsAmong the 21 analyzed genes, four (

Indexed as

gene polymorphismglucocorticosteroidsinflammatory bowel diseasenext-generation sequencingpharmacogenetics

Identifiers

PMID33747278
PMCPMC7959014
OpenAlexW2946773841

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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.