Evidence map›Paper›PMID 24488625›Full record

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

The effects of p53 Arg72Pro polymorphism on glioma susceptibility: a meta-analysis.

Weijie Zhu, Lei Lu, Yi Li, Jie Yao, Bainan Xu

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 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 35% 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, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Association ofBioMed research international · 2022
    Article
  4. Article
  5. Article
  6. Clinical significance of the expression of long non-coding RNA PVT1 in glioma.Cancer biomarkers : section A of Disease markers · 2019
    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 4 institutions in 1 country.

Weijie ZhuNeurosurgery Department, Chinese PLA General Hospital, 28 Fuxing RD, Beijing, 100853, China.
Lei Lu
Yi Li
Jie Yao
Bainan Xu
Chinese PLA General Hospital · CNJianghan University · CNJiangsu Province Hospital · CNKunming General Hospital of Chengdu Military Command · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The potentially functional polymorphism Arg72Pro in p53 gene has been implicated in glioma risk, but published studies have mixed findings. The aim of current investigation was to identify whether p53 Arg72Pro polymorphism was significantly associated with the risk of glioma. By searching the databases of PubMed, EMBASE, and Web of Science, our meta-analysis included ten eligible studies consisting of 2,645 glioma cases and 3,920 control subjects. The association between p53 Arg72Pro polymorphism and glioma risk was assessed by summarizing the odds ratios (ORs) with the corresponding 95% confidence intervals (CIs). We found that there was no overall risk of glioma in relation to any genetic model of p53 Arg72Pro polymorphism. Similar results were implicated in the analyses which are subgrouped by ethnicity and source of controls. This nonsignificant association remained stable when analyses were restrained to the studies consistent with HWE. In conclusion, our meta-analysis, based on the combined data from published papers before May 2013, reveals no evidence for significant association between p53 Arg72Pro polymorphism and glioma risk.

Indexed as

Genetic Predisposition to DiseasePolymorphism, GeneticBrain NeoplasmsGliomaHumansRiskTumor Suppressor Protein p53TP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID24488625
OpenAlexW2003827687

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.