Evidence map›Paper›PMID 39336814›Full record

ArticleGenes2024

Zdravka Pashova-Tasseva, Velitchka Dosseva-Panova, Antoaneta Mlachkova, Alexey Savov, Ekaterina Tosheva

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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.

Zdravka Pashova-TassevaDepartment of Periodontology, Faculty of Dental Medicine, Medical University of Sofia, 1000 Sofia, Bulgaria.ORCID 0000-0002-2635-083X
Velitchka Dosseva-PanovaDepartment of Periodontology, Faculty of Dental Medicine, Medical University of Sofia, 1000 Sofia, Bulgaria.
Antoaneta MlachkovaDepartment of Periodontology, Faculty of Dental Medicine, Medical University of Sofia, 1000 Sofia, Bulgaria.
Alexey SavovNational Genetic Laboratory, University Hospital of Obstetrics, Medical University, 1000 Sofia, Bulgaria.
Ekaterina ToshevaDepartment of Statistics and Econometrics, Faculty of Applied Informatics and Statistics, University of National and World Economy, 1000 Sofia, Bulgaria.ORCID 0000-0002-8061-3557

Funding

Medical University Contrct Number D-135/2021
6 · The paper itself

Abstract

backgroundPeriodontitis is a complex disease, and bacterial factors play a crucial role in its initiation. The contributions of genetic and epigenetic factors to the pathogenesis of periodontal disease are increasingly recognized. Single-nucleotide polymorphisms (SNPs) in various molecules, including cytokines, are of particular interest due to their established involvement in numerous diseases. This study investigates the influence of SNPs in the

methodsIn the recent study, both clinical and paraclinical methodologies were employed to comprehensively assess the periodontal status of the participants. The genotypic characterization of

resultsWe have established a statistically significant association between the presence of at least one A-allele in the patients' genotype and the incidence of severe periodontitis (

conclusions

Indexed as

AllelesBiomarkersInterleukin-10PeriodontitisPolymorphism, Single NucleotideAdultBulgariaFemaleGenetic Predisposition to DiseaseGenotypeHumansMaleMiddle AgedSeverity of Illness IndexBiomarkersIL10 protein, humanInterleukin-10biomarkerepidemiology of periodontitisgenetic susceptibilityInterleukin 10periodontitisRFLP analysisrisk factorsingle-nucleotide polymorphism

Identifiers

PMID39336814
PMCPMC11431461

What OpenQuestion holds

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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.