Evidence map›Paper›PMID 31035618›Full record

ReviewJournal of clinical medicine2019

Genetic Predispositions of Glucocorticoid Resistance and Therapeutic Outcomes in Polymyalgia Rheumatica and Giant Cell Arteritis.

Tomas Smutny, Ivan Barvik, Tomas Veleta, Petr Pavek, Tomas Soukup

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2019. 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, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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.

Tomas SmutnyDepartment of Pharmacology and Toxicology, Centre for Drug Development, Faculty of Pharmacy in Hradec Kralove, Charles University, 500 05 Hradec Kralove, Czech Republic. smutt6aa@faf.cuni.cz.
Ivan BarvikInstitute of Physics, Faculty of Mathematics and Physics, Charles University, 121 16 Prague, Czech Republic. ibarvik@karlov.mff.cuni.cz.
Tomas VeletaDepartment of Emergency Medicine, University Hospital in Hradec Kralove, 500 05 Hradec Kralove, Czech Republic. tomas.veleta@fnhk.cz.
Petr PavekDepartment of Pharmacology and Toxicology, Centre for Drug Development, Faculty of Pharmacy in Hradec Kralove, Charles University, 500 05 Hradec Kralove, Czech Republic. pavek@faf.cuni.cz.
Tomas SoukupDivision of Rheumatology, 2nd Department of Internal Medicine⁻Gastroenterology, Faculty of Medicine in Hradec Kralove, Charles University and University Hospital in Hradec Kralove, 500 05 Hradec Kralove, Czech Republic. soukutom@fnhk.cz.
Charles University · CZUniversity Hospital Hradec Králové · CZCzech Academy of Sciences, Institute of Physics · CZ

Funding

Charles University research projects PROGRES Q40-15, PROGRES Q47EFSA-CDN [No. CZ.02.1.01/0.0/0.0/16_019/0000841] co-funded by ERDFMH CZ - DRO UHHK 00179906
6 · The paper itself

Abstract

Polymyalgia rheumatica (PMR) and giant cell arteritis (GCA) are closely related chronic inflammatory diseases. Glucocorticoids (GCs) are first-choice drugs for PMR and GCA, although some patients show poor responsiveness to the initial GC regimen or experience flares after GC tapering. To date, no valid biomarkers have been found to predict which patients are at most risk for developing GC resistance. In this review, we summarize PMR- and GCA-related gene polymorphisms and we associate these gene variants with GC resistance and therapeutic outcomes. A limited number of GC resistance associated-polymorphisms have been published so far, mostly related to

Indexed as

giant cell arteritisglucocorticoid resistancepharmacogeneticspolymyalgia rheumatica

Identifiers

PMID31035618
PMCPMC6572549
OpenAlexW2942012999

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.