Evidence map›Paper›PMID 25720378›Full record

SynthesisMedical science monitor : international medical journal of experimental and clinical research2015

Association between TLR4 A299G polymorphism and pneumonia risk: a meta-analysis.

Xingjun Cai, Yihui Fu, Qingyun Chen

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Medical science monitor : international medical journal of experimental and clinical research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. 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.

Xingjun CaiDepartment of Respiratory, Hainan Provincial People's Hospital, Haikou, Hainan, China (mainland).
Yihui FuDepartment of Respiratory, Hainan Provincial People's Hospital, Haikou, Hainan, China (mainland).
Qingyun ChenDepartment of Respiratory, Hainan Provincial People's Hospital, Haikou, Hainan, China (mainland).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral genetic studies have evaluated the association between Toll-like receptor 4 (TLR4) A299G polymorphism and the risk of pneumonia. However, the results were not consistent. We thus did this meta-analysis. MATERIAL AND

methodsRelevant studies were systematically searched by using the NCBI, Medline, Web of Science, and Embase databases. Data were extracted independently by 2 investigators. Odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were estimated.

resultsEight case-control studies with 658 patients and 1862 controls were included in this meta-analysis. TLR4 A299G polymorphism was significantly associated with pneumonia risk (OR=1.74; 95% CI 1.19-2.53; P=0.004). The result was significant in adults. In addition, TLR4 A299G polymorphism was also associated with community-acquired pneumonia (CAP) risk. Results from cumulative meta-analysis and sensitivity analysis suggested that the results are reliable and robust.

conclusionsThe results of this meta-analysis suggest that susceptibility to pneumonia was associated with TLR4 A299G polymorphism.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseAdultChild, PreschoolHumansPolymorphism, Single NucleotideRisk FactorsToll-Like Receptor 4TLR4 protein, humanToll-Like Receptor 4

Identifiers

PMID25720378
PMCPMC4354425
OpenAlexW1972644069

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.