Evidence map›Paper›PMID 23192010›Full record

SynthesisBMC infectious diseases2012

Association between tumor necrosis factor alpha-238G/a polymorphism and tuberculosis susceptibility: a meta-analysis study.

Zhijiao Zhang, Hang Zhu, Xudi Pu, Siying Meng, Fan Zhang, Lei Xun, Qin Liu, Yang Wang

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC infectious diseases, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. TheInnate immunity · 2021
    Article
  2. Article
  3. Genetic Polymorphisms ofBioMed research international · 2018
    Article
  4. Review
  5. Polymorphisms in theDisease markers · 2017
    Article
  6. Article
  7. Article
  8. Article
  9. 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.

Zhijiao ZhangSchool of Public Health and Health Management, Chongqing Medical University, Chongqing 400016, China.
Hang Zhu
Xudi Pu
Siying Meng
Fan Zhang
Lei Xun
Qin Liu
Yang Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor necrosis factor alpha (TNF-α) plays a key role in the containment of tuberculosis. The relationship between the TNF -238G/A polymorphism and tuberculosis susceptibility remains inconclusive. A comprehensive meta-analysis was made to provide a more precise estimate of the relationship between them.

methodsMultiple search strategies were used. A fixed effect model was takentook to estimate pooled OR with 95% confidence interval (CI) for the association between the TNF -238G/A polymorphism and tuberculosis susceptibility. The Chi-squared-based Q-test and I-squaredI2 statistic were calculated to examine heterogeneity. Begg's funnel plot and Egger's test were used to assess publication bias.

results9 case-control studies were included in this meta-analysis. No significant heterogeneity was demonstrated, and no obvious publication bias was detected among the included studies. The meta-analysis indicated that there was no significant association between the TNF -238G/A polymorphism and tuberculosis susceptibility (GA+AA versus GG model: OR=1.005, 95% CI: 0.765-1.319; A versus G model: OR=1.000, 95% CI: 0.769-1.300). In the subgroup analyses by ethnicity, types of TB and human immunodeficiency virus (HIV) status, no significant association were identified.

conclusionsThe meta-analysis involving 2723 subjects did not detect any association between the TNF -238G/A polymorphism and tuberculosis susceptibility.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideHumansPromoter Regions, GeneticTuberculosisTumor Necrosis Factor-alphaTumor Necrosis Factor-alpha

Identifiers

PMID23192010
PMCPMC3519796

What OpenQuestion holds

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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.