Evidence map›Paper›PMID 24464925›Full record

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

GH1 T1663A polymorphism and cancer risk: a meta-analysis of case-control studies.

Jing Shi, Jian-Huan Tong, Shuang Cai

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 1 paper.

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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Review
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

3 authors at 2 institutions in 1 country.

Jing ShiDepartment of Medical Oncology, The First Hospital of China Medical University, Nanjing Street No. 155, Heping District, Shenyang, 110001, People's Republic of China, cmu1h_sj@163.com.
Jian-Huan Tong
Shuang Cai
China Medical University · CNFirst Hospital of China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many studies have demonstrated that the most common polymorphism (T1663A, rs2665802) in the promoter region of growth hormone 1 (GH1) gene might play an important role in cancer development and progression. This meta-analysis aims to investigate a more precise estimation of the relationship between GH1 T1663A polymorphism and cancer risk. We searched CISCOM, CINAHL, Web of Science, PubMed, Google Scholar, EBSCO, Cochrane Library, and CBM databases from inception through October 1st, 2013. Meta-analysis was performed using the STATA 12.0 software. Seven studies were included with a total of 4,018 cancer patients and 5,308 healthy controls. Our meta-analysis results revealed that GH1 T1663A polymorphism was associated with increased cancer risks. Subgroup analysis by cancer type showed significant associations between GH1 T1663A polymorphism and increased colorectal cancer risk, but there was no evidence of any association with breast cancer. Further subgroup analysis based on ethnicity indicated that GH1 T1663A polymorphism might increase cancer risks among Asian populations. However, no statistically significant association was found among Caucasian populations. Meta-regression analyses also suggested that cancer type and ethnicity may be the main sources of heterogeneity. No publication bias was detected in this meta-analysis. The present meta-analysis indicates that GH1 T1663A polymorphism may contribute to the risk of colorectal cancer, especially among Asian populations.

Indexed as

Genetic Predisposition to DiseasePolymorphism, GeneticCase-Control StudiesHuman Growth HormoneHumansNeoplasmsRiskHuman Growth Hormone

Identifiers

PMID24464925
OpenAlexW1988994769

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.