Evidence map›Paper›PMID 28489583›Full record

SynthesisOncotarget2017

Association between vascular endothelial growth factor gene polymorphisms and the risk and prognosis of renal cell carcinoma: A systematic review and meta-analysis.

Jingyuan Tang, Zhiqiang Qin, Xiao Li, Peng Han, Feng Wang, Chengdi Yang, Ran Li, Kunpeng Wang, Min Tang, Wei Wang and 2 more

Open access · diamondAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Oncotarget, 2017. 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
0.9field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. 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

12 authors at 2 institutions in 1 country.

Jingyuan TangDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China.
Zhiqiang QinDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China.
Xiao LiDepartment of Urologic Surgery, The Affiliated Cancer Hospital of Jiangsu Province of Nanjing Medical University, Nanjing, 210029, China.
Peng HanDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China.
Feng WangDepartment of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China.
Chengdi YangDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China.
Ran LiDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China.
Kunpeng WangDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China.
Min TangDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China.
Wei WangDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China.
Qiang LvDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China.
Wei ZhangDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China.
Nanjing Medical University · CNJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the meta-analysis was to clarify the associations between vascular endothelial growth factor (VEGF) polymorphisms and the risk and prognosis of renal cell carcinoma (RCC). A meta-analysis was performed by searching the databases PubMed, EMBASE and Web of Science for the relevant available studies until August 1st, 2016, and fourteen studies met the inclusion criteria. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to evaluate the strength of such associations. Besides, the pooled hazard ratios (HRs) with 95% CIs were used to evaluate the overall survival (OS). Fixed- or random-effects models were conducted according to existence of heterogeneity. Publication bias was evaluated using Begg's funnel plots and Egger's regression test. Overall, this meta-analysis included a total of 8,275 patients, who had been accrued between November 2002 and September 2015. Meta-analysis indicated that -2578C/A, +936C/T and +405G/C polymorphisms in the VEGF gene correlated with elevated RCC risk, especially in Asian populations. Moreover, VEGF -1154G/A and -634C/G polymorphisms were found significantly associated with poor OS of RCC. Therefore, this meta-analysis revealed that VEGF -2578C/A, +936C/T, +405G/C polymorphisms were associated with an elevated susceptibility to RCC, indicating that these three polymorphisms might be risk factors for RCC, especially in Asian populations.

Indexed as

Carcinoma, Renal CellFemaleGenetic Predisposition to DiseaseHumansKidney NeoplasmsMalePolymorphism, GeneticPrognosisRisk FactorsVascular Endothelial Growth Factor AVascular Endothelial Growth Factor Ameta-analysisprognosisrenal cell carcinomariskVEGF polymorphisms

Identifiers

PMID28489583
PMCPMC5564826
OpenAlexW2607012845

What OpenQuestion 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 OpenQuestion graph.