Evidence map›Paper›PMID 24943681›Full record

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

Association of p73 G4C14-to-A4T14 polymorphism with lung cancer risk.

Hua Liu, Yuli Liang, Hua Liao, Lanying Li, Hongyun Wang

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

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Bioscience reports · 2018
    Pooled it
  2. 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.

Hua LiuDepartment of Geriatrics, First Affiliated Hospital of Guangdong College of Pharmacy, Guangzhou, Guangdong, 510080, People's Republic of China, hua_liu@21cn.com.
Yuli Liang
Hua Liao
Lanying Li
Hongyun Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conflicting results were implicated in both single case-control studies and meta-analyses of the correlation between p73 G4C14-to-A4T14 polymorphism and lung cancer risk. We designed this study to further assess the association by meta-analysis. A meta-analysis was performed based on five case-control studies (5,467 subjects) retrieved from PubMed and Embase. Odds ratios (ORs) with 95 % confidence intervals (CIs) were measured for the association using the models of random effects and fixed effects. The results showed no evidence between p73 G4C14-to-A4T14 polymorphism and lung cancer risk in any genetic model (allele model: OR, 1.06, 95 % CI, 0.89-1.26; homozygote genotypes: OR, 1.18, 95 % CI, 0.80-1.73; heterozygote genotypes: OR, 1.04, 95 % CI, 0.89-1.23; dominant model: OR, 1.05, 95 % CI, 0.89-1.24; recessive model: OR, 1.17, 95 % CI, 0.93-1.47). Subgroup analyses according to ethnicity, however, detected significant association in Caucasian population. Our study provides evidence that p73 G4C14-to-A4T14 polymorphism may play a major role in susceptibility to lung cancer in Caucasians.

Indexed as

Polymorphism, GeneticAllelesAsian PeopleCase-Control StudiesDNA-Binding ProteinsGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansLung NeoplasmsNuclear ProteinsOdds RatioRisk FactorsTumor Protein p73Tumor Suppressor ProteinsWhite PeopleDNA-Binding ProteinsNuclear ProteinsTP73 protein, humanTumor Protein p73Tumor Suppressor Proteins

Identifiers

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.