Evidence map›Paper›PMID 37511194›Full record

ArticleInternational journal of molecular sciences2023

Novel Tools for Comprehensive Functional Analysis of LDLR (Low-Density Lipoprotein Receptor) Variants.

Jacek Jasiecki, Monika Targońska, Anna Janaszak-Jasiecka, Magdalena Chmara, Monika Żuk, Leszek Kalinowski, Krzysztof Waleron, Bartosz Wasąg

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. 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
1.6field-weighted citation impact, top 17% 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, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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  5. 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

8 authors at 3 institutions in 1 country.

Jacek JasieckiDepartment of Pharmaceutical Microbiology, Faculty of Pharmacy, Medical University of Gdańsk, 80-416 Gdańsk, Poland.ORCID 0000-0001-8192-6486
Monika TargońskaDepartment of Biology and Medical Genetics, Medical University of Gdańsk, 80-210 Gdańsk, Poland.ORCID 0000-0002-5613-189X
Anna Janaszak-JasieckaDepartment of Medical Laboratory Diagnostics-Fahrenheit Biobank BBMRI.pl, Medical University of Gdańsk, 80-211 Gdańsk, Poland.ORCID 0000-0002-2695-4756
Magdalena ChmaraCenter of Translational Medicine, Medical University of Gdańsk, 80-210 Gdańsk, Poland.
Monika ŻukDepartment of Biology and Medical Genetics, Medical University of Gdańsk, 80-210 Gdańsk, Poland.
Leszek KalinowskiDepartment of Medical Laboratory Diagnostics-Fahrenheit Biobank BBMRI.pl, Medical University of Gdańsk, 80-211 Gdańsk, Poland.ORCID 0000-0001-7270-1592
Krzysztof WaleronDepartment of Pharmaceutical Microbiology, Faculty of Pharmacy, Medical University of Gdańsk, 80-416 Gdańsk, Poland.ORCID 0000-0002-9989-0984
Bartosz WasągDepartment of Biology and Medical Genetics, Medical University of Gdańsk, 80-210 Gdańsk, Poland.ORCID 0000-0002-3634-7562
Gdańsk Medical University · PLUniversity Clinical Centre · PLGdańsk University of Technology · PL

Funding

Ministry of Education and Science Poland, grant no. 10/E-389/SPUB/SP/2020National Science Center OPUS 2015/19/B/NZ5/03510
6 · The paper itself

Abstract

Familial hypercholesterolemia (FH) is an autosomal-dominant disorder caused mainly by substitutions in the low-density lipoprotein receptor (

Indexed as

AtherosclerosisHyperlipoproteinemia Type IIReceptors, LDLHEK293 CellsHumansLipoproteins, LDLLipoproteins, LDLReceptors, LDLCRISPRfamilial hypercholesterolemiaLDLRLDL receptorLDL uptakelow-density lipoprotein

Identifiers

PMID37511194
PMCPMC10379666
OpenAlexW4384339206

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.