Evidence map›Paper›PMID 20440859›Full record

SynthesisWorld journal of gastroenterology2010

Peroxisome proliferator-activated receptor-gamma 34C>G polymorphism and colorectal cancer risk: a meta-analysis.

Yong-Liang Lu, Gai-Ling Li, Hui-Lian Huang, Jing Zhong, Li-Cheng Dai

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in World journal of gastroenterology, 2010. 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
0.8field-weighted citation impact, top 28% 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, 14 citations in OpenAlex.

  1. Effect of Proliferator-Activated Receptor-γ Pro12Ala Polymorphism on Colorectal Cancer Risk: A Meta-Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2015
    Pooled it
  2. Article
  3. Article
  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

5 authors at 1 institution in 1 country.

Yong-Liang LuDepartment of Surgery, Huzhou Teachers College School of Medicine, Huzhou 313000, Zhejiang Province, China.
Gai-Ling Li
Hui-Lian Huang
Jing Zhong
Li-Cheng Dai
Huzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the association between peroxisome proliferator-activated receptor-gamma (PPAR-gamma) gene polymorphism 34 C>G and colorectal cancer (CRC), a meta-analysis review was performed in this report.

methodsA systematic literature search and selection of eligible relevant studies were carried out. Nine independent studies with a total number of 4533 cases and 6483 controls were included in the meta-analysis on the association between polymorphism 34 C>G and CRC.

resultsThere was no evidence for the association between PPAR-gamma 34 C>G and CRC if all of the subjects in the nine studies were included. However, CG + GG showed a marginally significant difference from CC (OR = 0.84, 95% CI: 0.69-1.01, P = 0.07) in random-effect model. Stratified meta-analysis indicated that PPAR-gamma 34 C>G was associated with colon cancer (OR = 0.8, 95% CI: 0.65-0.99, P = 0.04) in random-effect model, and the G allele decreased colon cancer risk. No significant association was observed between PPAR-gamma 34 C>G and rectal cancer.

conclusionPPAR-gamma 34 C>G is associated with colon cancer risk, but not associated with CRC and rectal cancer risk.

Indexed as

Risk FactorsAllelesCase-Control StudiesColorectal NeoplasmsGenetic Predisposition to DiseaseHumansModels, GeneticPolymorphism, Single NucleotidePPAR gammaPPAR gamma

Identifiers

PMID20440859
PMCPMC2864844
OpenAlexW2071697468

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.