Evidence map›Paper›PMID 24729087›Full record

SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

CD 152 gene polymorphisms and risk of osteosarcoma in Chinese population.

Zhengqi Chang, Ruoxian Song, Songfeng Xu, Ming Xu, Xiuchun Yu

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Association of genetic polymorphisms with osteosarcoma risk: a meta-analysis.International journal of clinical and experimental medicine · 2015
    Review
  3. Single nucleotide polymorphisms of HER2 related to osteosarcoma susceptibility.International journal of clinical and experimental pathology · 2015
    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

5 authors.

Zhengqi ChangDepartment of Orthopedics, General Hospital of Jinan Military Commanding Region, Jinan, 250031, Shandong Province, China.
Ruoxian Song
Songfeng Xu
Ming Xu
Xiuchun Yu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma has become a health threat for adolescents and young adults. To identify the genetic risk factor for the malignancy is in urgent need. Several studies have investigated the role of CD 152 polymorphisms in osteosarcoma in a sample of Chinese population. However, the association is poorly defined due to lack of a sufficiently large sample. In this study, we performed a meta-analysis of all CD 152 polymorphisms that had been implicated in osteosarcoma to examine the association. We searched the electronic MEDLINE database until December 31, 2013, to identify the studies regarding the association between CD 152 polymorphisms and osteosarcoma. Inclusion criteria were followed in the selection of eligible study. The genotypic and allelic data were collected from all studies included to evaluate the risk of osteosarcoma (odds ratio, OR). We found statistically significant evidence of the studied CD 152 polymorphisms and increased risk of osteosarcoma in homozygous (OR = 1.79, 95 % CI = 1.40-2.29, P = 0.958), recessive (OR = 1.77, 95 % CI = 1.40-2.25, P = 0.899), and allele model (OR = 1.21, 95 % CI = 1.09-1.34, P = 1.000). This increased risk was also revealed in single nucleotide polymorphism (SNP) +49G>A and SNP 326G>A. Our meta-analysis indicates that there may be an association between CD 152 polymorphisms and risk of osteosarcoma in Chinese population. Further validation of the observation is necessary.

Indexed as

AllelesAsian PeopleBone NeoplasmsCTLA-4 AntigenGenetic Predisposition to DiseaseGenotypeHumansOsteosarcomaPolymorphism, Single NucleotideCTLA-4 AntigenCTLA4 protein, human

Identifiers

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.