Evidence map›Paper›PMID 26295503›Full record

SynthesisMedical science monitor : international medical journal of experimental and clinical research2015

Clinical Significance of Arterial Stiffness and Thickness Biomarkers in Type 2 Diabetes Mellitus: An Up-To-Date Meta-Analysis.

Yang Yapei, Ren Xiaoyan, Zeng Sha, Pan Li, Meng Xiao, Chen Shuangfeng, Wang Lexin, Cui Lianqun

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Medical science monitor : international medical journal of experimental and clinical research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  10. Observational
  11. Vitamin D Level is Associated with Increased Left Ventricular Mass and Arterial Stiffness in Older Patients with Impaired Renal Function.Medical science monitor : international medical journal of experimental and clinical research · 2015
    Article
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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 1 institution in 1 country.

Yang YapeiDepartment of Cardiology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, China (mainland).
Ren XiaoyanOral Maxillofacial Head-Neck Key Laboratory of Medical Biology, and Central Laboratory of Liaocheng People's Hospital, Liaocheng, Shandong, China (mainland).
Zeng ShaOral Maxillofacial Head-Neck Key Laboratory of Medical Biology, and Central Laboratory of Liaocheng People's Hospital, Liaocheng, Shandong, China (mainland).
Pan LiOral Maxillofacial Head-Neck Key Laboratory of Medical Biology, and Central Laboratory of Liaocheng People's Hospital, Liaocheng, Shandong, China (mainland).
Meng XiaoThe Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education and Chinese Ministry of Health, Qilu Hospital, Shandong University, Jinan, Shandong, China (mainland).
Chen ShuangfengOral Maxillofacial Head-Neck Key Laboratory of Medical Biology, and Central Laboratory of Liaocheng People's Hospital, Liaocheng, Shandong, China (mainland).
Wang LexinOral Maxillofacial Head-Neck Key Laboratory of Medical Biology, and Central Laboratory of Liaocheng People's Hospital, Liaocheng, Liaocheng, Shandong, China (mainland).
Cui LianqunDepartment of Cardiology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, China (mainland).
Shandong Provincial Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 Diabetes mellitus (T2DM) is associated with increased risk of cardiovascular disease (CVD). Previous studies explored the association of T2DM with arterial stiffness and thickness biomarkers including the augmentation index (AIX), aortic pulse wave velocity (aPWV), brachial-ankle PWV (baPWV), carotid intima-media wall thickness (IMT) as well as blood pressure (BP), low density lipoprotein cholesterol (LDL-C); however the conclusions are either inconsistent or incomprehensive. MATERIAL AND

methodsThe average differences of each included trial were expressed as the standardized mean difference (SMD) with 95% confidence interval (CI). Analyses of carotid IMT, aPWV, baPWV and AIX Systolic BP (SBP), diastolic BP (DBP), LDL-C and HDL-C were independently performed. Furthermore, subgroup analyses by ethnicity (Caucasian or Asian) were conducted. Begg's and Egger's tests were performed for potential publication biases detection.

resultsA total of 14 case-control eligible studies with 1222 T2DM patients and 1094 control subjects were included. In the overall analysis, significant associations were observed between the carotid IMT, aPWV, baPWV, LDL-C, HDL-C, SBP, and DBP with T2DM (IMT: p=1.1*10-12; aPWV: p=1.1*10-7; baPWV: p=1.8*10-33; LDL-C: p=3.1*10-8; HDL-C: p=6.1*10-18; SBP: p=3.9*10-21; DBP: p=4.8*10-5). No association was detected for AIX (p=0.09). Subgroup analyses indicated that aPWV, baPWV, SBP, LDL-C, and HDL-C were associated with T2DM in both white and Asian populations (p<0.05). The significant associations of IMT, AIX and DBP with T2DM were only observed in the Asian subgroup.

conclusionsCarotid IMT, aPWV, baPWV, as well as LDL-C, HDL-C, SBP, and DBP but not AIX were useful noninvasive early markers for T2DM vascular dysfunction detection.

Indexed as

Vascular StiffnessAnkle Brachial IndexBiomarkersBlood PressureCarotid Intima-Media ThicknessCase-Control StudiesCholesterol, HDLCholesterol, LDLDiabetes Mellitus, Type 2Diabetic AngiopathiesHumansPulse Wave AnalysisRisk FactorsBiomarkersCholesterol, HDLCholesterol, LDL

Identifiers

PMID26295503
PMCPMC4548741
OpenAlexW1918582567

What OpenQuestion holds

Textmetadata
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.