Evidence map›Paper›PMID 34103954›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2021

Joint Predictors of Hypertension and Type 2 Diabetes Among Adults Under Treatment in Amhara Region (North-Western Ethiopia).

Awoke Seyoum Tegegne

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2021. 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
0.3field-weighted citation impact, top 41% 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, 4 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.

Awoke Seyoum TegegneDepartment of Statistics, Bahir Dar University, Bahir Dar, Ethiopia.ORCID 0000-0001-9132-8025
Bahir Dar University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the chronic diseases, all over the world, due to its significant contribution to the existence of other health problems is hypertension. It is known that hypertensive patients exposed to diabetes and the reverse is also true. The objective of the current investigation was to identify joint risk factors for hypertension and type 2 diabetes for adults under treatment.

methodsA random sample of 748 hypertensive and type 2 diabetic patients was selected. A retrospective longitudinal study was conducted with the selected patients who were receiving treatment for both hypertension and type 2 diabetes. A joint linear mixed-effect model was used for data analysis in this investigation.

resultsThe current investigation revealed that age (β = 0.18, p-value = 0.04 for hypertension, β = 0.81, p-value = 0.02 for type 2 diabetes) and weight of patients (β = 0.52, p-value <0.01 for hypertension, β = 0.32, p-value <0.01 for type 2 diabetes) were positively and significantly associated with existence of hypertension and type 2 diabetes whereas visiting times (β = -0.08, p-value = 0.04 for hypertension, β = -0.38, p-value = 0.03 for type 2 diabetes) were negatively associated with the variables of interest. Similarly, patients who do not exercise, who smoke, and drink and patients with a family history of disease were positively associated with the existence of the variables of interest.

conclusionHypertension and diabetes are highly correlated and one is the causes of the other. Hypertensive and diabetic patients should be aware that they should stop drinking alcohol and smoking and should attend properly to their medication as prescribed by health staff. They should also be advised to undertake physical exercise to reduce risks related to these two correlated diseases.

Indexed as

diastolichypertensionjoint modelinglongitudinal data analysismixed modelsystolictype 2 diabetes

Identifiers

PMID34103954
PMCPMC8179751
OpenAlexW3172685510

What OpenQuestion holds

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LicenceCC BY-NC
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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.