Evidence map›Paper›PMID 35860595›Full record

SynthesisFrontiers in oncology2022

Epidemiological Evidence for Associations Between Genetic Variants and Osteosarcoma Susceptibility: A Meta-Analysis.

Dechao Yuan, Jie Tian, Xiang Fang, Yan Xiong, Nishant Banskota, Fuguo Kuang, Wenli Zhang, Hong Duan

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 43% 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, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
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

8 authors at 2 institutions in 1 country.

Dechao YuanDepartment of Orthopedics, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, China.
Jie TianDepartment of Thoracic Surgery, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, China.
Xiang FangDepartment of Orthopedics, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, China.
Yan XiongDepartment of Orthopedics, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, China.
Nishant BanskotaDepartment of Orthopedics, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, China.
Fuguo KuangDepartment of Orthopedics, People's Fourth Hospital of Sichuan Province, Chengdu, China.
Wenli ZhangDepartment of Orthopedics, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, China.
Hong DuanDepartment of Orthopedics, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, China.
Sichuan University · CNFourth People's Hospital of Sichuan Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have showed that single nucleotide polymorphisms (SNPs) might be implicated in the pathogenesis of osteosarcoma (OS). Numerous studies involving SNPs with OS risk have been reported; these results, however, remain controversial and no comprehensive research synopsis has been performed till now. Objective: This study seeks to clarify the relationships between SNPs and OS risk using a comprehensive meta-analysis, and assess epidemiological evidence of significant associations. Methods: The PubMed, Web of Science, and Medline were used to screen for articles that evaluated the association between SNP and OS susceptibility in humans before 24 December 2021. Furthermore, we used Venice Criteria and a false positive report probability (FPRP) test to assess the grades of epidemiological evidence for the statistical relationships. Results: We extracted useful data based on 43 articles, including 10,255 cases and 13,733 controls. Our results presented that 25 SNPs in 17 genes were significantly associated with OS risk. Finally, we graded strong evidence for 17 SNPs in 14 genes with OS risk ( Conclusion: In summary, this study offered a comprehensive meta-analysis between SNPs and OS susceptibility, then evaluated the credibility of statistical relationships, and provided useful information to identify the appropriate candidate SNPs and design future studies to evaluate SNP factors for OS risk.

Indexed as

meta-analysisosteosarcomasingle nucleotide polymorphismsusceptibilityVenice criteria

Identifiers

PMID35860595
PMCPMC9291280
OpenAlexW4283802353

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.