Evidence map›Paper›PMID 29348888›Full record

ArticleOncotarget2017

The association analysis of TLR2 and TLR4 gene with tuberculosis in the Tibetan Chinese population.

Xin Xue, Yi Qiu, Dong Jiang, Tianbo Jin, Mengdan Yan, Xikang Zhu, Yonglie Chu

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

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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 5 institutions in 1 country.

Xin XueDepartment of Pathogen Biology and Immunology, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China.
Yi QiuThe Second Internal Medicine, Xi'an Chest Hospital, Xi'an TB and Thoracic Tumor Hospital, Xi'an 710100, China.
Dong JiangInner Mongolia Medical University, Hohhot 010010, China.
Tianbo JinKey Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an 710069, China.
Mengdan YanKey Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an 710069, China.
Xikang ZhuSchool of Medicine, Xizang Minzu University, Xianyang 712082, China.
Yonglie ChuDepartment of Pathogen Biology and Immunology, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China.
Xi'an Chest Hospital · CNXizang Minzu University · CNInner Mongolia Medical University · CNMinistry of Education of the People's Republic of China · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe present study was undertaken to explore the relationship of Toll-like receptor (TLR) 2, TLR4 genes polymorphisms with Pulmonary tuberculosis (PTB) risk in a sample of Chinese population.

methodsFor this study, we recruited 467 subjects with PTB and 504 healthy subjects from a Tibetan population living in near or in Xi'an, China. Association analyses of single-nucleotide polymorphisms (SNPs) in

resultsThe research results that is association analysis of pulmonary tuberculosis show there are two increased-risk SNPs (rs7696323, OR=1.32, 95%CI =1.08-1.62,

conclusionsWe found that two SNPs are associated with increased PTB risk and three SNPs decreased PTB risk in the Chinese Tibetan population. Our findings demonstrate an association between

Indexed as

case-control studyPTBSNPTibetan Chinese population

Identifiers

PMID29348888
PMCPMC5762573
OpenAlexW2774314288

What OpenQuestion holds

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Registered trials

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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.