Evidence map›Paper›PMID 26617908›Full record

ArticleInternational journal of clinical and experimental pathology2015

Association between XRCC3 Thr241Met polymorphism and risk of osteosarcoma in a Chinese population.

Libin Yang, Yongbo An, Guodong Wang, Tan Lu, Shujuan Yang

Abstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
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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.

Libin YangDepartment of Orthopedics, The First Affiliated Hospital of Xinxiang Medical University Weihui, China.
Yongbo AnDepartment of Orthopedics, The First Affiliated Hospital of Xinxiang Medical University Weihui, China.
Guodong WangDepartment of Orthopedics, The First Affiliated Hospital of Xinxiang Medical University Weihui, China.
Tan LuDepartment of Orthopedics, The First Affiliated Hospital of Xinxiang Medical University Weihui, China.
Shujuan YangDepartment of Health and Social Behavior, West China School of Public Health, Sichuan University Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to investigate whether XRCC3 Thr241Met polymorphism could affect the development of osteosarcoma in a Chinese population. A total of 152 osteosarcoma patients and 304 health control subjects were included in our study. Polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) assay was applied to assess the XRCC3 Thr241Met gene polymorphism. By conditional logistic regression analysis, we found that TT genotype of XRCC3 Thr241Met was associated with increased risk of osteosarcoma in codominant model (OR = 2.53, 95% CI = 1.28-5.39). Moreover, XRCC3 Thr241Met gene polymorphism was correlated with an elevated increased risk of osteosarcoma in dominant (OR = 1.55, 95% CI = 1.03-2.34) and recessive models (OR = 2.30, 95% CI = 1.16-4.56). In conclusion, we found that XRCC3 Thr241Met gene polymorphism was associated with increased risk of osteosarcoma in codominant, dominant and recessive models.

Indexed as

Polymorphism, Single NucleotideAsian PeopleBone NeoplasmsCase-Control StudiesChildDNA-Binding ProteinsFemaleGenetic Predisposition to DiseaseGenotypeHumansMaleOsteosarcomaPolymerase Chain ReactionPolymorphism, Restriction Fragment LengthRisk FactorsYoung AdultDNA-Binding ProteinsX-ray repair cross complementing protein 3Chinese populationosteosarcomapolymorphismXRCC3 Thr241Met

Identifiers

PMID26617908
PMCPMC4637724

What OpenQuestion holds

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Registered trials

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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.