Evidence map›Paper›PMID 19494710›Full record

ArticleJournal of endocrinological investigation2009

The (-174) G/C polymorphism in the interleukin-6 gene is associated with risk of papillary thyroid carcinoma in Turkish patients.

A G Ozgen, M Karadeniz, M Erdogan, A Berdeli, F Saygili, C Yilmaz

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Article in Journal of endocrinological investigation, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
1.3field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.

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  10. Interleukins as markers of inflammation in malignant and benign thyroid disease.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2014
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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 1 institution in 1 country.

A G OzgenDivision of Internal Disease, Department of Endocrinology and Metabolism, Ege University, Bornova, Izmir, Turkey.
M Karadeniz
M Erdogan
A Berdeli
F Saygili
C Yilmaz
Ege University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInterleukins and cytokines play an important role in the pathogenesis of many cancers.We aimed to evaluate the interleukin (IL)-6 gene polymorphisms in patients with papillary thyroid carcinoma (PTC) and control subjects. MATERIAL AND

methodsIn this study, 42 patients with PTC and 340 healthy controls were included. Peripheral blood samples were taken from control group and patients, and blood samples were preserved at -80 C in tubes containing Na-EDTA.

resultsWe also found a statistically significant difference between patients with PTC and the control group with respect to IL-6 genotype (p<0.05). IL-6 gene polymorphism in patients with PTC patients did not reveal statistically significant difference between the 2 groups (size of tumor >1 cm and <1 cm), multicentricity, RET-PTC types and capsule invasion (p>0.05).We also did not find a statistically significant difference between patients with PTC and the control group with respect to IL-6-gene allele frequency (p>0.05). DISCUSSION: Our data suggest that the IL-6 G-174 C polymorphism could play a role in thyroid cancer risk, but there is no effective role as a prognostic factor.

Indexed as

AdultAllelesCarcinoma, PapillaryDNAFemaleGenetic Predisposition to DiseaseGenetic VariationGenotypeHumansInterleukin-6MaleMiddle AgedPolymerase Chain ReactionPolymorphism, Restriction Fragment LengthPolymorphism, Single NucleotideStatistics, NonparametricDNAInterleukin-6

Identifiers

PMID19494710
OpenAlexW2090128844

What OpenQuestion holds

Textmetadata
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.