Evidence map›Paper›PMID 25629058›Full record

ArticleJournal of diabetes research2014

Novel KIF6 polymorphism increases susceptibility to type 2 diabetes mellitus and coronary heart disease in Han Chinese men.

Ge Wu, Gui-Bin Li, Bin Dai, Dong-Qing Zhang

Abstract read
In one paragraph

Article in Journal of diabetes research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 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

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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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Nomogram Based on Risk Factors for Type 2 Diabetes Mellitus Patients with Coronary Heart Disease.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020
    Article
  6. 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

4 authors.

Ge WuDepartment of Clinical Trials, The Fourth Hospital of Jilin University, Dongfeng Street No. 2643, Changchun, Jilin 130011, China.
Gui-Bin LiDepartment of Clinical Trials, The Fourth Hospital of Jilin University, Dongfeng Street No. 2643, Changchun, Jilin 130011, China.
Bin DaiDepartment of Clinical Trials, The Fourth Hospital of Jilin University, Dongfeng Street No. 2643, Changchun, Jilin 130011, China.
Dong-Qing ZhangDepartment of Clinical Trials, The Fourth Hospital of Jilin University, Dongfeng Street No. 2643, Changchun, Jilin 130011, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe effect of the KIF6 polymorphism Trp719Arg on the risk of T2DM and T2DM with CHD remains unclear.

methods946 unrelated subjects of Han Chinese origin were recruited, comprising 346 controls, 312 T2DM, and 288 T2DM + CHD patients. Genotyping was performed by high-resolution melting curve analysis using real-time qPCR. The impact of the variant on T2DM/T2DM + CHD and gene-sex interaction were evaluated by stepwise multiple regression analysis.

resultsThe frequencies of the Trp719 allele in T2DM and T2DM + CHD patients were similar to the control group, whereas significantly increased 719Arg allele frequencies were observed in male T2DM and T2DM + CHD patients compared with the corresponding control group. Further sex partition analysis revealed that only male 719Arg allele carriers had approximately 3-fold and 5-fold higher risk of T2DM and T2DM + CHD, respectively, than noncarriers. There was also a significant association between carriers and higher TG and lower HDL-C levels.

conclusionThe KIF6 719Arg allele may increase the risk of T2DM and T2DM + CHD only in Han Chinese men by modulating lipid metabolism, especially with regard to TG and HDL.

Indexed as

Polymorphism, GeneticAgedAsian PeopleBiomarkersBlood GlucoseCase-Control StudiesChinaCholesterol, HDLCoronary DiseaseDiabetes Mellitus, Type 2FemaleGene FrequencyGenetic Predisposition to DiseaseHumansKinesinsMaleBiomarkersBlood GlucoseCholesterol, HDLKIF2A protein, humanKinesinsTriglycerides

Identifiers

PMID25629058
PMCPMC4297624

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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.