Evidence map›Paper›PMID 29246004›Full record

ArticleOncotarget2017

Comprehensive assessment of association between TLR4 gene polymorphisms and cancer risk: a systematic meta-analysis.

Lu Ding, Qifeng Jiang, Guang Li, Jia Shen, Jiayin Du, Xiaochen Lu, Xingliang Xiong

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Association Between TLR4 Gene Polymorphisms and Risk of Preeclampsia: Systematic Review and Meta-Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2021
    Pooled it
  3. Article
  4. Review
  5. Review
  6. Article
  7. 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

7 authors at 1 institution in 1 country.

Lu DingDepartment of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China.
Qifeng JiangDepartment of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China.
Guang LiDepartment of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China.
Jia ShenDepartment of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China.
Jiayin DuDepartment of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China.
Xiaochen LuDepartment of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China.
Xingliang XiongDepartment of Medical Informatics, Chongqing Medical University, Chongqing, 400016, China.
Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have explored the association between toll-like receptor 4 (TLR4) polymorphisms and risk of various cancers, but the results remained controversial. To obtain an assessment of the effect of TLR4 polymorphisms (rs4986790, rs4986791 and rs11536889) on cancer risk, fifty-five articles (containing 20107 cases and 28244 controls) were recruited for meta-analysis. Our result indicated that two Single Nucleotide Polymorphisms (SNP) in TLR4 were associated with decreased cancer risk for rs4986791: OR = 0.764, 95% CI: 0.652-0.894,

Indexed as

cancer riskmeta-analysisSNPTLR4toll-like receptor

Identifiers

PMID29246004
PMCPMC5725046
OpenAlexW2763627894

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.