Evidence map›Paper›PMID 24197978›Full record

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

Glutathione S-transferase M1 polymorphism and colorectal cancer risk in Chinese population.

Zan Teng, Lei Wang, Jingdong Zhang, Shuang Cai, Yunpeng Liu

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 4 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 3 pooled it
0.6field-weighted citation impact, top 31% 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, 3 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  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 2 institutions in 1 country.

Zan TengDepartment of Medical Oncology, The First Hospital of China Medical University, No. 155 North Nanjing Street, Heping District, Shenyang, 110001, China.
Lei Wang
Jingdong Zhang
Shuang Cai
Yunpeng Liu
First Hospital of China Medical University · CNChina Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glutathione S-transferase M1 (GSTM1) polymorphism has been proven to be associated with risks of several cancers. However, previous studies on the association between GSTM1 polymorphism and colorectal cancer risk in Chinese population reported controversial results. We performed a meta-analysis of 13 studies which were identified through the literature search in PubMed and Wanfang databases. The strength of the association between GSTM1 polymorphism and colorectal cancer risk was measured by odds ratio (OR) with corresponding 95% confidence interval (95% CI). Overall, GSTM1 null mutation was significantly associated with a risk of colorectal cancer in Chinese population (OR = 1.37, 95% CI 1.12 to 1.68, P = 0.002). Sensitivity analyses by omitting those studies in turns did not materially alter the overall pooled ORs. The cumulative meta-analyses further showed a trend of an obvious association between GSTM1 null mutation and risk of colorectal cancer in Chinese population as information accumulated by year. The findings from our meta-analysis suggest that GSTM1 null mutation is significantly associated with a risk of colorectal cancer in Chinese population.

Indexed as

Asian PeopleColorectal NeoplasmsGenetic Predisposition to DiseaseGlutathione TransferaseHumansOdds RatioPolymorphism, GeneticRisk FactorsGlutathione Transferase

Identifiers

PMID24197978
OpenAlexW2069365200

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.