Evidence map›Paper›PMID 33767773›Full record

ArticleExperimental and therapeutic medicine2021

Genetic variations in the

Natalia Paramonova, Jolanta Kalnina, Kristine Dokane, Kristine Dislere, Ilva Trapina, Tatjana Sjakste, Nikolajs Sjakste

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Experimental and therapeutic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

7 authors at 1 institution in 1 country.

Natalia ParamonovaGenomics and Bioinformatics, Institute of Biology of The University of Latvia, LV-1004 Riga, Latvia.
Jolanta KalninaGenomics and Bioinformatics, Institute of Biology of The University of Latvia, LV-1004 Riga, Latvia.
Kristine DokaneGenomics and Bioinformatics, Institute of Biology of The University of Latvia, LV-1004 Riga, Latvia.
Kristine DislereGenomics and Bioinformatics, Institute of Biology of The University of Latvia, LV-1004 Riga, Latvia.
Ilva TrapinaGenomics and Bioinformatics, Institute of Biology of The University of Latvia, LV-1004 Riga, Latvia.
Tatjana SjaksteGenomics and Bioinformatics, Institute of Biology of The University of Latvia, LV-1004 Riga, Latvia.
Nikolajs SjaksteGenomics and Bioinformatics, Institute of Biology of The University of Latvia, LV-1004 Riga, Latvia.
University of Latvia · LV

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several polymorphisms in genes related to the ubiquitin-proteasome system exhibit an association with pathogenesis and prognosis of various human autoimmune diseases. Our previous study reported the association between multiple sclerosis (MS) and the

Indexed as

molecular biomarkersmultiple sclerosisno evidence of disease activityproteasomePSMC6-PSMA6-PSMA3rs1048990single nucleotide polymorphismstherapy interferon-β

Identifiers

PMID33767773
PMCPMC7976443
OpenAlexW3136742102

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.