Evidence map›Paper›PMID 29597287›Full record

Trial reportInternational journal of molecular sciences2018

Opposite Genetic Effects of CMIP Polymorphisms on the Risk of Type 2 Diabetes and Obesity: A Family-Based Study in China.

Yaying Cao, Tao Wang, Yiqun Wu, Juan Juan, Xueying Qin, Xun Tang, Tao Wu, Yonghua Hu

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  3. Review
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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

8 authors at 2 institutions in 2 countries.

Yaying CaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China. cyyenjoy@126.com.ORCID 0000-0002-5024-2652
Tao WangDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA. tao.wang@einstein.yu.edu.
Yiqun WuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China. qywu118@163.com.ORCID 0000-0002-5554-1678
Juan JuanDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China. juanjuan@bjmu.edu.cn.
Xueying QinDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China. xueyingqin@gmail.com.
Xun TangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China. tangxun@bjmu.edu.cn.
Tao WuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China. twu@bjmu.edu.cn.
Yonghua HuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China. yhhu@bjmu.edu.cn.
Peking University · CNAlbert Einstein College of Medicine · US

Funding

Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY E. PESSIN · 2015 to 2026
$27.7M
NIDDK NIH HHS P30 DK020541
6 · The paper itself

Abstract

C-Maf Inducing Protein (

Indexed as

AllelesPolymorphism, GeneticAdaptor Proteins, Signal TransducingAdultAgedAsian PeopleChinaDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedObesitySex FactorsAdaptor Proteins, Signal TransducingCMIP protein, humanCMIPfamily-based studyobesitypleiotropic genetic effectssex-specific patterntype 2 diabetes mellitus

Identifiers

PMID29597287
PMCPMC5979311
OpenAlexW2794662138

What Socratic 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 Socratic graph.