Evidence map›Paper›PMID 41491936›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

Exploratory Analysis of Candidate Gene SNPs in Relation to Cervical Cancer Susceptibility in Georgian Women.

Sandro Surmava, Eka Kvaratskhelia, Beso Davitashvili, Nino Vardiashvili, Natalia Kharebashvili, Maia Zarandia, Sarfraz Ahmad, Elene Abzianidze, Ketevani Kankava

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Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

9 authors.

Sandro SurmavaDepartment of Molecular and Medical Genetics, Tbilisi State Medical University, Tbilisi, Georgia.
Eka KvaratskheliaDepartment of Molecular and Medical Genetics, Tbilisi State Medical University, Tbilisi, Georgia.ORCID 0000-0002-1200-0230
Beso DavitashviliDepartment of Molecular and Medical Genetics, Tbilisi State Medical University, Tbilisi, Georgia.
Nino VardiashviliInova Medical Center, Tbilisi, Georgia.
Natalia KharebashviliNew Hospitals, Tbilisi, Georgia.
Maia ZarandiaDepartment of Molecular and Medical Genetics, Tbilisi State Medical University, Tbilisi, Georgia.
Sarfraz AhmadAdventHealth Cancer Institute, Gynecologic Oncology Program, Orlando, FL, USA.ORCID 0000-0002-5180-0409
Elene AbzianidzeDepartment of Molecular and Medical Genetics, Tbilisi State Medical University, Tbilisi, Georgia.
Ketevani KankavaDepartment of Molecular and Medical Genetics, Tbilisi State Medical University, Tbilisi, Georgia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionCervical cancer (CC) is the third most prevalent malignancy among women worldwide. Candidate gene studies have identified multiple single nucleotide polymorphisms (SNPs) that are associated with an increased risk of CC. The objective of this study was to examine the relationship between 8 specific single-nucleotide polymorphisms (SNPs) and the risk of cervical cancer in the Georgian population.MethodsThe present study employed a prospective case-control design, with 40 patients diagnosed with CC and 45 healthy women. A total of 8 single-nucleotide polymorphisms (SNPs) were genotyped using the TaqMan genotyping assay: rs7579014, rs11263763, rs7726159, rs6897196, rs2853672, rs635634, rs231775, and rs2304204.ResultsOur analysis demonstrated that rs7579014 (

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideUterine Cervical NeoplasmsAdultAgedCase-Control StudiesFemaleGenotypeHumansMiddle AgedProspective Studiesbiomarkerscervical cancergenetic susceptibilityGeorgian womenrisk assessmentssingle nucleotide polymorphisms

Identifiers

PMID41491936
PMCPMC12775350

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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.