Evidence map›Paper›PMID 31086532›Full record

ArticlePakistan journal of medical sciences

Correlation between glycosylated hemoglobin level of patients with diabetes and cardiovascular disease.

Fengyun Wei

Open access · goldAbstract read
In one paragraph

Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

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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

3 citing papers in PubMed, 10 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Fengyun WeiFengyun Wei, CPC Shandong Prov Comm, Party Sch. 250103, China.
Qingdao Party School of CPC · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the clinical influence of the changes of glycosylated hemoglobin level of patients with diabetes on hypertension and coronary heart disease.

methodsOne hundred and ninety-six patients between February 2015 and December 2016 were divided into a control group (96 non-diabetic patients) and an observation group (100 patients with diabetes) with or without diabetes. The biochemical indexes of patients in the two groups were compared. Moreover patients in the observation groups were divided into subgroups according to the presence of hypertension and coronary heart disease, and the level of HbA1c was compared between different subgroups.

resultsThe levels of total cholesterol (TC), triglyceride (TG) and low-density lipoprotein cholesterol (LDL-C) of patients in the two groups had no significant differences (P>0.05). However, the level of high-density lipoprotein cholesterol (HDL-C) of patients in the observation group was significantly lower than that of the control group (P<0.05). The Systolic Blood Pressure (SBP) and diastolic blood pressure (DBP), fasting plasma glucose (FPG), fasting insulin (FINS) and levels of high-sensitivity C-reactive protein (hs-CRP) and HbA1c of patients in the observation group were apparently higher than those of the control group (P<0.05). The level of HbA1c of patients with hypertension was significantly higher than that without hypertension (P<0.05). The level of HbA1c of patients with coronary heart disease was apparently higher than that without coronary heart disease (P<0.05). The Pearson correlation analysis results demonstrated that the level of HbA1c of patients in the diabetes group was in a positive correlation with SBP, DBP and level of hs-CRP (P<0.05).

conclusionThe level of HbA1c of patients with diabetes was in a positive correlation with blood pressure and level of hs-CRP. The level of HbA1c can effectively predict the occurrence of hypertension and coronary heart disease. Detecting level of glycosylated hemoglobin is of important significance in screening patients with hypertension and coronary heart disease.

Indexed as

Coronary heart diseaseDiabetesHbA1cHypertension

Identifiers

PMID31086532
PMCPMC6500826
OpenAlexW2921440031

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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.