Evidence map›Paper›PMID 23145098›Full record

SynthesisPloS one2012

Meta-analysis of cytochrome P-450 2C9 polymorphism and colorectal cancer risk.

Shuo Liang, Jinsong Hu, Jingsong Hu, Weijun Cao, Sanjun Cai

Erratum issuedOpen access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 30% 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, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

  • Erratum issued
    Hu, Jingsong [corrected to Hu, Jinsong]
5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Shuo LiangDepartment of Respiratory, Pulmonary Hospital of Shanghai, Tongji University School of Medicine, Shanghai, People's Republic of China.
Jinsong Hu
Jingsong Hu
Weijun Cao
Sanjun Cai
Fudan University Shanghai Cancer Center · CNShanghai Pulmonary Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCYP2C9 encodes a member of the cytochrome P450 superfamily of enzymes which play a central role in activating and detoxifying many carcinogens and endogenous compounds thought to be involved in the development of colorectal cancer (CRC). In the past decade, the relationship between CYP2C9 common polymorphisms (R144C and I359L) and CRC has been reported in various ethnic groups; however, these studies have yielded contradictory results. To investigate this inconsistency, we performed this meta-analysis.

methodsDatabases including Pubmed, EMBASE, Web of Science and China National Knowledge Infrastructure (CNKI) were searched to find relevant studies. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association.

resultsA total of 13 articles involving 9,463 cases and 11,416 controls were included. Overall, the summary odds ratio of CRC was 0.98 (95% CI: 0.89-1.06) and 0.99 (95% CI: 0.87-1.14) for CYP2C9 144C and 359L alleles, respectively. No significant results were observed using dominant or recessive genetic model for these polymorphisms. In the stratified analyses according to ethnicity and sex, no evidence of any gene-disease association was obtained.

conclusionsThis meta-analysis suggests that the CYP2C9 may not be associated with colorectal cancer development.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseAllelesAryl Hydrocarbon HydroxylasesCase-Control StudiesChinaColorectal NeoplasmsCytochrome P-450 CYP2C9EthnicityFemaleHumansMalePolymorphism, Single NucleotideRisk FactorsAryl Hydrocarbon HydroxylasesCYP2C9 protein, humanCytochrome P-450 CYP2C9

Identifiers

PMID23145098
PMCPMC3492323
OpenAlexW2132694477

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.