Evidence map›Paper›PMID 22194161›Full record

ArticleEndocrine2012

Association between E-cadherin (CDH1) polymorphisms and papillary thyroid carcinoma risk in Han Chinese population.

Ying-Xue Wang, Lei Zhao, Xiu-Yun Wang, Chang-Mei Liu, Su-Guo Yu

Abstract read
PubMed Publisher
In one paragraph

Article in Endocrine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  3. Article
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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

5 authors at 3 institutions in 1 country.

Ying-Xue WangDepartment of Endocrinology, School of Clinical Medicine, Binzhou Medical University, No. 661, Yellow-River Second Street, Binzhou 256603, China. wangyx1011@163.com
Lei Zhao
Xiu-Yun Wang
Chang-Mei Liu
Su-Guo Yu
Binzhou Medical University · CNBinzhou University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study is to investigate the associations between E-cadherin gene (CDH1) polymorphisms and papillary thyroid carcinoma (PTC) risk predisposition. We undertook a case-control study to analyze three CDH1 polymorphisms (+54T>C, -160C>A, and -347G→GA) in an Han Chinese population, by extraction of genomic DNA from the peripheral blood of 98 patients with PTC and 176 control participants, and performed CDH1 genotyping using DNA sequencing. The obtained results indicated that overall, no statistically significant association was observed in +54T>C. Nevertheless, -347G→GA genotype was at increased risk of PTC (P = 0.001; odds ratio (OR) = 2.12, CI 95%:1.24-3.34). Furthermore, -347GA/GA genotype thyroid cancers were more significantly common in patients with tumor size of ≥20 mm than G or G/GA genotypes PTC and in cases of advanced T stage. However, -160C>A genotype demonstrated a protective effect in PTCs (P = 0.006; OR = 0.59, CI 95%: 0.42-0.87). These findings led us to conclude that polymorphism in -347G→GA was observed to be associated with susceptibility of PTC. However, -160C>A polymorphism indicated to play a protective role in susceptibility to PTC. Nevertheless, further investigation with a larger sample size is needed to support our results.

Indexed as

Polymorphism, GeneticAdultAgedAntigens, CDAsian PeopleBlood CellsCadherinsCarcinomaCarcinoma, PapillaryCase-Control StudiesChinaFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHumansMaleAntigens, CDCadherinsCDH1 protein, human

Identifiers

PMID22194161
OpenAlexW2076211505

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.