Evidence map›Paper›PMID 24408012›Full record

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

FASLG T844C polymorphism and susceptibility to breast cancer: a meta-analysis.

Ou Huang, Min Jiang, Xi Zhang, Xiaosong Chen, Jiayi Wu, Kunwei Shen

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
–field-weighted citation impact, top 90% 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, 1 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

6 authors at 2 institutions in 1 country.

Ou HuangDepartment of Surgery, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200025, People's Republic of China.
Min Jiang
Xi Zhang
Xiaosong Chen
Jiayi Wu
Kunwei Shen
Shanghai Jiao Tong University · CNRuijin Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many studies were published to assess the association between FASLG T844C polymorphism and susceptibility to breast cancer, but the data were controversial. A meta-analysis was performed to assess the association comprehensively. We performed a comprehensive search in PubMed, Embase, and Web of Science to find eligible studies. Six studies with a total of 6,784 participants were finally included into the meta-analysis. There were a total of 3,382 cases with breast cancer and 3,402 controls in those six studies. Odds ratio (OR) with 95 % confidence interval (95 %CI) was used to evaluate the association. Overall, there was an obvious association between FASLG T844C polymorphism and breast cancer under all four contrast models (for C versus T: OR = 1.26, 95 %CI 1.05-1.50, P OR = 0.011; for CC versus TT: OR = 1.42, 95 %CI 1.11-1.81, P OR = 0.005; for CC versus TT/TC: OR = 1.41, 95 %CI 1.06-1.88, P OR = 0.019; for CC/TC versus TT: OR = 1.16, 95 %CI 1.01-1.33, P OR = 0.038). In the subgroup analysis by ethnicity, there was an obvious association between FASLG T844C polymorphism and breast cancer in Asians, but there was no obvious association in Caucasians. The meta-analysis suggests that there is an association between FASLG T844C polymorphism and susceptibility to breast cancer, especially in Asians.

Indexed as

Genetic Predisposition to DiseaseAllelesAsian PeopleBreast NeoplasmsFas Ligand ProteinFemaleGenotypeHumansPolymorphism, Single NucleotideRisk FactorsWhite PeopleFASLG protein, humanFas Ligand Protein

Identifiers

PMID24408012
OpenAlexW2064735221

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.