Evidence map›Paper›PMID 26901241›Full record

SynthesisInfluenza and other respiratory viruses2016

Genetic association of TLR4 Asp299Gly, TLR4 Thr399Ile, and CD14 C-159T polymorphisms with the risk of severe RSV infection: a meta-analysis.

Jiahui Zhou, Xiangning Zhang, Shuming Liu, Ziyou Wang, Qicong Chen, Yongfu Wu, Zhiwei He, Zunnan Huang

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Influenza and other respiratory viruses, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Inter-individual variation in health and disease associated with pulmonary infectious agents.Mammalian genome : official journal of the International Mammalian Genome Society · 2018
    Article
  10. Human Genetic Determinants of Viral Diseases.Annual review of genetics · 2017
    Review
  11. Article
  12. Article
  13. 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

8 authors at 4 institutions in 1 country.

Jiahui ZhouChina-America Cancer Research Institute, Dongguan Scientific Research Center, Guangdong Medical University, Dongguan, Guangdong, China.
Xiangning ZhangChina-America Cancer Research Institute, Dongguan Scientific Research Center, Guangdong Medical University, Dongguan, Guangdong, China.
Shuming LiuChina-America Cancer Research Institute, Dongguan Scientific Research Center, Guangdong Medical University, Dongguan, Guangdong, China.
Ziyou WangChina-America Cancer Research Institute, Dongguan Scientific Research Center, Guangdong Medical University, Dongguan, Guangdong, China.
Qicong ChenSchool of Preclinical Medicine, Guangxi Medical University, Nanning, Guangxi, China.
Yongfu WuAffiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Zhiwei HeChina-America Cancer Research Institute, Dongguan Scientific Research Center, Guangdong Medical University, Dongguan, Guangdong, China.
Zunnan HuangChina-America Cancer Research Institute, Dongguan Scientific Research Center, Guangdong Medical University, Dongguan, Guangdong, China.
XTC (China) · CNGuangdong Medical College · CNKey Laboratory of Guangdong Province · CNGuangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Respiratory syncytial virus (RSV) is the most frequent cause of hospitalization in infants worldwide. It is recognized by Toll-like receptor 4 (TLR 4) and cluster of differentiation 14 (CD14) in the innate immune response. Previous case-control studies reported the influence of TLR4 Asp299Gly, TLR4 Thr399Ile, and CD14 C-159T polymorphisms on the risk of severe RSV infection. However, a decisive conclusion has not been achieved. Therefore, we performed this meta-analysis to examine the association between these three polymorphisms and the development of RSV bronchiolitis. A systematic literature search was performed using the PubMed, EMbase, Google Scholar Search, China National Knowledge Infrastructure, China Biological Medicine, and Wanfang Databases. The data were extracted and pooled odds ratios with 95% confidence intervals were calculated under six genetic models. A total of six studies with 1009 cases and 1348 controls, three studies with 473 cases and 481 controls, or four studies with 325 cases and 650 controls relating to each of the three polymorphisms were included in this meta-analysis. The analyzed data indicated that all of these polymorphisms were not associated with the risk of severe RSV infection. This is the first meta-analysis to investigate the relationship of TLR4 Asp299Gly, TLR4 Thr399Ile, and CD14 C-159T polymorphisms with the risk of severe RSV infection. Although the results of this retrospective analysis indicated a lack of the association, more extensive multicentric studies with large sample sizes are necessary to provide a more reliable estimation of the association between these three polymorphisms and RSV bronchiolitis susceptibility.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideBronchiolitisCase-Control StudiesChinaGenetic Association StudiesGenotypeHumansLipopolysaccharide ReceptorsOdds RatioRespiratory Syncytial Virus InfectionsRetrospective StudiesRisk FactorsToll-Like Receptor 4Lipopolysaccharide ReceptorsTLR4 protein, humanToll-Like Receptor 4Asp299GlyC-159TCD14meta-analysispolymorphismsRSV infectionThr399IleTLR4

Identifiers

PMID26901241
PMCPMC4814857
OpenAlexW2280341062

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.