In one paragraphArticle in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
5 authors.
Habib Al AshkarHungarian Research Network University of Debrecen, Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Nóra KovácsHungarian Research Network University of Debrecen, Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0001-9256-3756 Ilona Veres-BalajtiDepartment of Physiotherapy, Faculty of Health Sciences, Institute of Health Sciences, University of Debrecen, 4028 Debrecen, Hungary.
Róza ÁdányHungarian Research Network University of Debrecen, Public Health Research Group, Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0002-9679-6669 Péter PikóDepartment of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0001-5539-907X Funding
European Regional Development Fund GINOP-2.3.2-15-2016-00005Hungarian Academy of Sciences TK2016-78Hungarian Research Network - HUN-REN TKCS-2021/32Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences BO/00513/23/5National Research, Development, and Innovation Fund of Hungary K_20, project No. 135784National Research, Development, and Innovation Fund of Hungary ÚNKP-23-5-DE-494National Research, Development and Innovation Office RRF-2.3.1-21-2022-00006
6 · The paper itselfAbstract
Polymorphisms in the cholesteryl ester transfer protein (
Indexed as
Cholesterol Ester Transfer ProteinsExerciseHaplotypesHeart RatePolymorphism, Single NucleotideAdultAgedCholesterol, HDLFemaleHumansHungaryMaleMiddle AgedCETP protein, humanCholesterol Ester Transfer ProteinsCholesterol, HDLacute heart rate responsecardiovascular riskcholesteryl ester transfer proteingenomicshaplotypesingle nucleotide polymorphism
Identifiers
PMID39201274
PMCPMC11354538
What Socratic holds
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