Evidence map›Paper›PMID 35222552›Full record

ArticleFrontiers in genetics2022

Assessment of Associations Between Serum Lipoprotein (a) Levels and Atherosclerotic Vascular Diseases in Hungarian Patients With Familial Hypercholesterolemia Using Data Mining and Machine Learning.

Ákos Németh, Bálint Daróczy, Lilla Juhász, Péter Fülöp, Mariann Harangi, György Paragh

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Applications of machine learning in familial hypercholesterolemia.Frontiers in cardiovascular medicine · 2023
    Review
  6. Article
  7. Review
  8. Review
  9. 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

6 authors at 2 institutions in 2 countries.

Ákos NémethDepartment of Internal Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Bálint DaróczyInstitute for Computer Science and Control, Hungarian Academy of Sciences, (MTA SZTAKI), Budapest, Hungary.
Lilla JuhászDepartment of Internal Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Péter FülöpDepartment of Internal Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Mariann HarangiDepartment of Internal Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
György ParaghDepartment of Internal Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
University of Debrecen · HUUCLouvain · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

atherosclerosiscardiovascular riskdata miningfamilial hypercholesterolemialipoprotein(a)

Identifiers

PMID35222552
PMCPMC8864223
OpenAlexW4210927113

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.