Evidence map›Paper›PMID 29773680›Full record

SynthesisBioscience reports2018

Macrophage migration inhibitory factor-794 CATT microsatellite polymorphism and risk of tuberculosis: a meta-analysis.

Mingbiao Ma, Lvyan Tao, Aihua Liu, Zhang Liang, Jiaru Yang, Yun Peng, Xiting Dai, Ruolan Bai, Zhenhua Ji, Miaomiao Jian and 1 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Bioscience reports, 2018. 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
0.7field-weighted citation impact, top 33% 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, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Observational
  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

11 authors at 1 institution in 1 country.

Mingbiao MaDepartment of Microbiology and Immunology, Kunming Medical University, Kunming 650500, China.
Lvyan TaoDepartment of Biochemistry and Molecular Biology, Kunming Medical University, Kunming 650500, China.
Aihua LiuDepartment of Biochemistry and Molecular Biology, Kunming Medical University, Kunming 650500, China liuaihua@kmmu.edu.cn baofukai@kmmu.edu.cn.
Zhang LiangYunnan Province Key Laboratory for Tropical Infectious Diseases in Universities, Kunming Medical University, Kunming 650500, China.
Jiaru YangDepartment of Biochemistry and Molecular Biology, Kunming Medical University, Kunming 650500, China.
Yun PengDepartment of Microbiology and Immunology, Kunming Medical University, Kunming 650500, China.
Xiting DaiDepartment of Microbiology and Immunology, Kunming Medical University, Kunming 650500, China.
Ruolan BaiDepartment of Biochemistry and Molecular Biology, Kunming Medical University, Kunming 650500, China.
Zhenhua JiDepartment of Microbiology and Immunology, Kunming Medical University, Kunming 650500, China.
Miaomiao JianDepartment of Biochemistry and Molecular Biology, Kunming Medical University, Kunming 650500, China.
Fukai BaoDepartment of Microbiology and Immunology, Kunming Medical University, Kunming 650500, China liuaihua@kmmu.edu.cn baofukai@kmmu.edu.cn.
Kunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) is a chronic infectious disease that has been threatening public health for many years. Several studies have shown the relationship between the macrophage migration inhibitory factor (MIF)-794 CATT (MIF-794 CATT) microsatellite polymorphism and susceptibility to TB. However, the results remain inconclusive. Therefore, we aim to find out the impact of MIF-794 CATT microsatellite polymorphism on risk of TB by a comprehensive meta-analysis. We conducted a systematic study search in PubMed, Embase, the Cochrane Library, and the China National Knowledge Infrastructure (CNKI) up to October 2017. Five studies involving 836 cases and 678 controls were included in the current meta-analysis. We calculated the pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) to estimate the association between the MIF-794 CATT microsatellite polymorphism and risk of TB. The reliability of the results were evaluated with trial sequential analysis (TSA). The results suggested that the MIF-794 CATT microsatellite polymorphism was significantly associated with the susceptibility of TB in all comparisons for allele (7 + 8 compared with 5 + 6, OR = 1.56, 95% CI = 1.31-1.87,

Indexed as

Microsatellite RepeatsPolymorphism, GeneticAllelesGenotypeHumansIntramolecular OxidoreductasesMacrophage Migration-Inhibitory FactorsOdds RatioRisk FactorsTuberculosisIntramolecular OxidoreductasesMacrophage Migration-Inhibitory FactorsMIF protein, humanmeta-analysismicrosatellite polymorphismMIFtuberculosis

Identifiers

PMID29773680
PMCPMC6435566
OpenAlexW2803964049

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.