Evidence map›Paper›PMID 26884978›Full record

ArticleInternational journal of clinical and experimental medicine2015

IGF-I CA19 repeat polymorphisms and cancer risk: a meta-analysis.

Qing Guo, Feng Shen, Chi Zhang, Xi Yang, Hong-Cheng Zhu, Qu Zhang, Shu-Tong Shen, Xin-Chen Sun, Sheng-Bin Dai

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. 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
–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

1 citing paper in PubMed.

  1. 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

9 authors.

Qing GuoDepartment of Radiotherapy, Taizhou People's Hospital Taizhou, China.
Feng ShenTaizhou People's Hospital Taizhou, China.
Chi ZhangDepartment of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University Nanjing, China.
Xi YangDepartment of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University Nanjing, China.
Hong-Cheng ZhuDepartment of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University Nanjing, China.
Qu ZhangDepartment of Radiotherapy, Second People's Hospital of Lian Yungang Lian Yungang, China.
Shu-Tong ShenNanjing Medical University Nanjing, China.
Xin-Chen SunDepartment of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University Nanjing, China.
Sheng-Bin DaiDepartment of Radiotherapy, Taizhou People's Hospital Taizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IGF-I CA repeat polymorphisms, especially the allele containing CA19 repeats, have been reported to be associated with the risk for various types of cancers. However, the results still remain controversial and ambiguous. This meta-analysis was performed to evaluate the association between IGF-I CA19 repeat polymorphisms and the risk of cancer. Total 18 studies with IGF-I CA19 repeat genotyping on 9,873 patients and 15,607 controls were analyzed. We used random-effects model with a pooled OR of 0.69 (95% CI = 0.60-0.79) for the recessive genetic model, 0.97 (95% CI = 0.86-1.10) for the dominant genetic model, 0.99 (95% CI = 0.86-1.14) for the homozygote comparison and 1.06 (95% CI = 0.91-1.23) for the heterozygote comparison. In the subgroup analysis of recessive model, OR (95% CI) was 0.65 (0.52-0.80) in breast cancer, 0.68 (0.53-0.86) in prostate cancer, and 0.71 (0.52-0.96) in Caucasian. In conclusion, IGF-1 CA19 repeat polymorphisms are unlikely to be a major determinant of susceptibility to cancer. However, the subgroup analysis of recessive model indicates that IGF-I CA19 repeat polymorphisms may reduce the risk of certain types of cancer or in a specific population.

Indexed as

CA19 repeatcancerIGF-Imeta-analysispolymorphism

Identifiers

PMID26884978
PMCPMC4723823

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.