Evidence map›Paper›PMID 24621099›Full record

SynthesisDiagnostic pathology2014

Meta-analyses between 18 candidate genetic markers and overweight/obesity.

Linlin Tang, Huadan Ye, Qingxiao Hong, Fei Chen, Qinwen Wang, Leiting Xu, Shizhong Bu, Qiong Liu, Meng Ye, Dao Wen Wang and 2 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Diagnostic pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 4 pooled it
1.0field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 4 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  12. Genetic & epigenetic approach to human obesity.The Indian journal of medical research · 2014
    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

12 authors at 3 institutions in 1 country.

Linlin Tang
Huadan Ye
Qingxiao Hong
Fei Chen
Qinwen Wang
Leiting Xu
Shizhong Bu
Qiong Liu
Meng YeZhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, 315211 Ningbo, Zhejiang, China. yemeng@nbu.edu.cn.
Dao Wen Wang
Yifeng Mai
Shiwei Duan
Ningbo University · CNNingbo University Affiliated Hospital · CNTongji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe goal of our study is to investigate the associations between 18 candidate genetic markers and overweight/obesity.

methodsA total of 72 eligible articles were retrieved from literature databases including PubMed, Embase, SpingerLink, Web of Science, Chinese National Knowledge Infrastructure (CNKI), and Wanfang. Meta-analyses of 18 genetic markers among 56,738 controls and 48,148 overweight/obese persons were done by Review Manager 5.0.

resultsOur results showed that SH2B1 rs7498665 polymorphism was significantly associated with the risk of overweight/obesity (overall odds ratio (OR) = 1.21, 95% confidence interval (CI) = 1.09-1.34, P = 0.0004). Increased risk of overweight/obesity was also observed in FAIM2 rs7138803 polymorphism (overall OR = 1.11, 95% CI = 1.01-1.22, P = 0.04).

conclusionOur meta-analyses have shown the important role of 2 polymorphisms (SH2B1 rs7498665 and FAIM2 rs7138803) in the development of overweight/obesity. This study highlighted the importance of above two candidate genes (SH2B1 and FAIM2) in the risk of overweight/obesity. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/2785487401176182.

Indexed as

Adaptor Proteins, Signal TransducingApoptosis Regulatory ProteinsGenetic Predisposition to DiseaseHumansMembrane ProteinsObesityOverweightPolymorphism, Single NucleotideAdaptor Proteins, Signal TransducingApoptosis Regulatory ProteinsFAIM2 protein, humanMembrane ProteinsSH2B1 protein, human

Identifiers

PMID24621099
PMCPMC4008255
OpenAlexW2053620728

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.