Evidence map›Paper›PMID 26309484›Full record

ReviewInternational journal of clinical and experimental medicine2015

Association of genetic polymorphisms with osteosarcoma risk: a meta-analysis.

Zhenyu Bian, Qifang He, Xuepeng Wang, Maoqiang Li, Liulong Zhu

Abstract readReview
In one paragraph

Review in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 4 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

7 citing papers in PubMed, 4 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Article
  7. Haplotype analysis on relationship of ERCC2 and ERCC3 gene polymorphisms with osteosarcoma risk in Chinese young population.Mammalian genome : official journal of the International Mammalian Genome Society · 2017
    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 at 1 institution in 1 country.

Zhenyu BianDepartment of Orthopaedic Surgery, Affiliated Hangzhou Hospital of Nanjing Medical University No. 261, Huansha Road, Hangzhou 310006, Zhejiang Province, P. R China.
Qifang HeDepartment of Orthopaedic Surgery, Affiliated Hangzhou Hospital of Nanjing Medical University No. 261, Huansha Road, Hangzhou 310006, Zhejiang Province, P. R China.
Xuepeng WangDepartment of Orthopaedic Surgery, Affiliated Hangzhou Hospital of Nanjing Medical University No. 261, Huansha Road, Hangzhou 310006, Zhejiang Province, P. R China.
Maoqiang LiDepartment of Orthopaedic Surgery, Affiliated Hangzhou Hospital of Nanjing Medical University No. 261, Huansha Road, Hangzhou 310006, Zhejiang Province, P. R China.
Liulong ZhuDepartment of Orthopaedic Surgery, Affiliated Hangzhou Hospital of Nanjing Medical University No. 261, Huansha Road, Hangzhou 310006, Zhejiang Province, P. R China.
Hangzhou First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma (OS) is the most common pediatric and adult bone malignancy worldwide. Genetic polymorphisms may play critical roles in the development of OS. However, there present inconclusive results. The current study was to investigate the role of genetic polymorphisms in OS risk. Electronic databases were searched for relevant studies published between 2000 and 2014. The odds ratio (OR) with its 95% confidence interval (CI) were employed to estimate the associations. Total 7 studies containing 911 OS patients and 1145 matched controls were included. Our results found that CTLA-4 +49A/G G allele and TGF-β1 29T/C C allele were more frequent in OS patients than that in controls, indicating that these two alleles were significantly associated with increased the risk of OS (G vs. A: OR = 1.36, 95% CI = 1.13-1.64, P = 0.001; C vs. T: OR = 1.49, 95% CI = 1.17-1.90, P = 0.001) in a fixed-effect model. This significant relationship was also found under other three genetic models in both variants (P<0.05). While no association was found between TNF-α -308G/A or TNF-β +252A/G polymorphism and OS risk. In conclusion, our results demonstrated that CTLA-4 +49A/G and TGF-β1 29T/C variants were significantly associated with OS susceptibility. Although number of included studies is small, several polymorphisms appearing to significantly influence the OS risk should be focused. Moreover, further studies with gene-gene and gene-environmental interactions should be considered.

Indexed as

genetic polymorphismmeta-analysisOsteosarcomasusceptibility

Identifiers

PMID26309484
PMCPMC4538132
OpenAlexW1162096763

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.