Evidence map›Paper›PMID 36311158›Full record

ArticleActa informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH2022

The Assessment Metabolic Markers and Cardio Risk Index Among Controlled and Uncontrolled Type 2 Diabetic Patients in Primary Health Clinics in Medan City, North Sumatera, Indonesia: Cross-sectional Study.

Rusdiana Rusdiana, Ahmad Moradi, Sry Suryani Widjaja, Mila Hayati Daulay, Rusmalawaty Rusmalawaty

Abstract read
In one paragraph

Article in Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

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

1 citing paper in PubMed.

  1. 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

5 authors.

Rusdiana RusdianaDepartement of Biochemistry, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.
Ahmad MoradiStudent Research Committee, School of Public Health and Safety, Shahid Beheshti University of Medical Science, Tehran, Iran.
Sry Suryani WidjajaDepartement of Biochemistry, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.
Mila Hayati DaulayDepartement of Fisiology, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.
Rusmalawaty RusmalawatyFacutly of Public Health,Universitas Sumatera Utara, Medan,Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes mellitus is the most common metabolic disorder affecting people worldwide. Diabetes mellitus has been known to be associated with lipid metabolic disorders and macrovascular and microvascular complications. Objective: This study assesses the correlation between cardio risk index and metabolic markers in type 2 diabetes mellitus patients. Methods: This study was conducted on type 2 diabetes mellitus with the cross-sectional analytic method. The inclusion criteria of the samples were all the patients diagnosed with type 2 diabetes mellitus of both sexes. We recorded Body Mass Index, Blood Pressure, disease duration, and family history. The laboratory parameters, including Fasting Blood Sugar, Hba1c, HDL, LDL, TG, and Cholesterol, were examined by Paramita Laboratory Clinic. The data of the samples were processed using a computer with the SPSS program.. Results: There were significantly different mean of age, abdominal circumference, FBG, Hba1c, cardio risk index, and HDL controlled and uncontrolled type 2 diabetes groups, but the mean cholesterol and LDL levels were not different in the two groups.At uncontrolled type 2 diabetic we found that there was a significant correlation between the cardio risk index with Cholesterol (r= 0.3 p=0,004), triglycerides (r=0.5 p=0,001), and negative correlation cardio risk index with HDL (r= -0.5 p=0.012). There was no significant correlation between the cardio risk index with LDL (r=0.157 p=0.101). Conclusion: Hba1c and FBS are higher in uncontrolled type 2 diabetes accompanied by lipid profile and cardio risk index levels that are higher than expected values are the risk of complications in type 2 diabetes mellitus.

Indexed as

blood sugar levelscardio risk indexHba1clipid profiletype 2 diabetes mellitus

Identifiers

PMID36311158
PMCPMC9559990

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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.