Evidence map›Paper›PMID 32560699›Full record

SynthesisBMC cardiovascular disorders2020

MIF -173G/C (rs755622) polymorphism modulates coronary artery disease risk: evidence from a systematic meta-analysis.

De-Yang Li, Jin-Yu Zhang, Qing-Jie Chen, Fen Liu, Qian Zhao, Xiao-Ming Gao, Xiao-Mei Li, Yi-Ning Yang

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC cardiovascular disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Frontiers in cardiovascular medicine · 2022
    Pooled it
  2. Article
  3. Article
  4. Impact of theFrontiers in cardiovascular medicine · 2024
    Review
  5. Article
  6. Genetic Variation ofFrontiers in genetics · 2021
    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.

De-Yang LiState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Jin-Yu ZhangRehabilitation department, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Qing-Jie ChenDepartment one of coronary heart disease, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830011, China.
Fen LiuState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Qian ZhaoState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Xiao-Ming GaoState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Xiao-Mei LiState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Yi-Ning YangState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China. yangyn5126@163.com.ORCID 0000-0002-8332-8508

Funding

National key Research and Development project Foundation of China 2018YFC1312804
6 · The paper itself

Abstract

backgroundCoronary artery disease (CAD) remains one of the major causes of death in humans. Genetic testing may allow early detection and prevention of this disease. This study aimed to investigate the association between the macrophage migration inhibitory factor (MIF) -173G/C (rs755622) polymorphism and susceptibility to CAD based on a meta-analysis.

methodsWe searched several databases to identify observational case-control studies investigating the association between the MIF -173G > C (rs755622) polymorphism and CAD risk published before July 30, 2019. Data were analyzed using the STATA software.

resultsSix studies, comprising a total of 1172 CAD cases and 1564 controls evaluated for MIF polymorphisms, were included. The occurrence of CAD was found to be associated with the C allele of the MIF rs755622 SNP in the total population (C/G, OR = 1.489, 95% CI = 1.223-1.813). Further, MIF -173G/C polymorphism was significantly associated with CAD under the allelic model in the Asian (C/G, OR = 1.775, 95% CI = 1.365-2.309) and Caucasian (C/G, OR = 1.288, 95% CI 1.003-1.654) subgroups. The data showed that the risk of CAD was higher in the population carrying the C allele.

conclusionsWe found evidence of associations between MIF -173C/G and CAD susceptibility in the Asian and Caucasian populations.

Indexed as

Polymorphism, Single NucleotideAsian PeopleCase-Control StudiesCoronary Artery DiseaseGenetic Association StudiesGenetic Predisposition to DiseaseHeart Disease Risk FactorsHumansIntramolecular OxidoreductasesMacrophage Migration-Inhibitory FactorsObservational Studies as TopicRisk AssessmentWhite PeopleIntramolecular OxidoreductasesMacrophage Migration-Inhibitory FactorsMIF protein, humanCoronary artery diseaseMacrophage migration inhibitory factorMeta-analysisPolymorphism

Identifiers

PMID32560699
PMCPMC7304150

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.