Evidence map›Paper›PMID 31455303›Full record

ArticleBMC endocrine disorders2019

An in-depth analysis of glycosylated haemoglobin level, body mass index and left ventricular diastolic dysfunction in patients with type 2 diabetes.

Xin Zuo, Xueting Liu, Runtian Chen, Huiting Ou, Jiabao Lai, Youming Zhang, Dewen Yan

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC endocrine disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
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

7 authors at 2 institutions in 3 countries.

Xin ZuoDepartment of Endocrinology, Xiangya-Shenzhen Endocrinology and Metabolism Center, the First Affiliated Hospital of Shenzhen University, Shenzhen, People's Republic of China.
Xueting LiuDepartment of Endocrinology, Xiangya-Shenzhen Endocrinology and Metabolism Center, the First Affiliated Hospital of Shenzhen University, Shenzhen, People's Republic of China.
Runtian ChenDepartment of Endocrinology, Xiangya-Shenzhen Endocrinology and Metabolism Center, the First Affiliated Hospital of Shenzhen University, Shenzhen, People's Republic of China.
Huiting OuDepartment of Endocrinology, Xiangya-Shenzhen Endocrinology and Metabolism Center, the First Affiliated Hospital of Shenzhen University, Shenzhen, People's Republic of China.
Jiabao LaiDepartment of Endocrinology, Xiangya-Shenzhen Endocrinology and Metabolism Center, the First Affiliated Hospital of Shenzhen University, Shenzhen, People's Republic of China.
Youming ZhangGenomic and Environmental Medicine Section, National Heart and Lung Institute, Imperial College London, Dovehouse Street, London, SW3 6LY, UK. y.zhang@imperial.ac.uk.ORCID http://orcid.org/0000-0001-5403-4044
Dewen YanDepartment of Endocrinology, Xiangya-Shenzhen Endocrinology and Metabolism Center, the First Affiliated Hospital of Shenzhen University, Shenzhen, People's Republic of China. yandw963@126.com.
Shenzhen University · CNLung Institute · US

Funding

National Natural Science Foundation of China 81670759Shenzhen Science and Technology Innovation Commission JSGG20160331103247408
6 · The paper itself

Abstract

backgroundGlycosylated hemoglobin (HbA1c) has a detrimental impact on the myocardium with left ventricular (LV) diastolic dysfunction. Obesity is a risk factor of type 2 diabetes. To understand the relationships between HbA1c, body mass index (BMI) and LV diastolic dysfunction, we performed this interaction analysis in patients with type 2 diabetes.

methodsTotal 925 type 2 diabetes patients were selected from the patients who were diagnosed and treated at the First Affiliated Hospital of Shenzhen University. Patients' BMI levels were defined as normal (BMI < 24 kg/m

resultsThe BMI levels were significantly associated with LV diastolic dysfunction in the patients with type 2 diabetes [adjusted model: 1.12 (1.05, 1.20), P = 0.001]. While HbA1c levels had association with LV diastolic dysfunction only in normal BMI group patients [adjusted model: 1.14 (1.01, 1.30), P = 0.0394] and curve correlation was observed. There was a significant interaction between BMI and HbA1c to affect LV diastolic dysfunction (P = 0.0335). Cox regression model analysis showed that the risk of LV diastolic dysfunction was a U type correlation with HbA1c levels in the normal weight group and the turning point was HbA1c at 10%. HbA1c level was not found to have a significant association with LV diastolic dysfunction in overweight/obese group.

conclusionsIn patients with type 2 diabetes, correlation between LV diastolic dysfunction and HbA1c was interactively affected by BMI. Glycemic control is beneficial to the heart function in normal body weight patients. For overweight/obese patients, the risk of LV diastolic dysfunction was not determined by the HbA1c level, indicating it may be affected by other confounding factors.

Indexed as

Body Mass IndexBiomarkersBlood GlucoseCase-Control StudiesDiabetes Mellitus, Type 2FemaleFollow-Up StudiesGlycated HemoglobinHumansIncidenceMaleMiddle AgedObesityOverweightPrognosisRisk FactorsBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanBody mass indexGlycosylated haemoglobinLeft ventricular diastolic dysfunctionType 2 diabetes

Identifiers

PMID31455303
PMCPMC6712657
OpenAlexW2970432689

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.