Evidence map›Paper›PMID 41383402›Full record

ArticleJournal of diabetes research2025

Longitudinal Study on the Progression of Diabetes Mellitus Patients at Jimma University Specialized Hospital, Ethiopia.

Kindu Kebede Gebre, Million Wesenu Demissie, Habtamu Abebe Getahun, Assefa Legesse Sisay

Abstract read
In one paragraph

Article in Journal of diabetes research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Kindu Kebede GebreDepartment of Statistics, College of Computing and Informatics, Haramaya University, Dire Dawa, Ethiopia.ORCID https://orcid.org/0000-0002-5337-4343
Million Wesenu DemissieDepartment of Statistics, College of Computing and Informatics, Haramaya University, Dire Dawa, Ethiopia.ORCID https://orcid.org/0000-0002-1079-1550
Habtamu Abebe GetahunDepartment of Epidemiology, Public Health Faculty, Institute of Health, University of Gondar, Gondar, Ethiopia.ORCID https://orcid.org/0000-0002-3861-0782
Assefa Legesse SisayDepartments of Epidemiology, Faculty of Public Health, Jimma University, Jimma, Ethiopia.ORCID https://orcid.org/0000-0002-3289-3355

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes mellitus is a metabolic disorder marked by elevated blood sugar levels. This study is aimed at identifying the factors influencing fasting blood sugar levels and at assessing treatment changes both within and across patients. Methods: A retrospective cohort study design was employed to collect relevant data from 100 patients with diabetes, comprising 861 repeated measurements, aged 18 years and above, between September 11, 2018, and October 11, 2021. We utilized a multilevel random coefficient model with time-varying covariates to identify determinants and growth curve analysis to describe patterns of change over time. Additionally, pairwise least square means differences were analyzed to evaluate treatment effects during the follow-up period. Results: The variability in fasting blood sugar levels among patients was 29.8%, while 70.2% of the variability was attributed to changes within individual patients. Significant associations were found between fasting blood sugar levels and pulse rate, high-density lipoprotein cholesterol levels, and baseline fasting blood sugar levels. Conclusion: The findings indicate that fasting blood sugar levels in patients increase as pulse rate, high-density lipoprotein levels, and baseline fasting blood sugar levels rise, with statistical significance at the 5% alpha level. Therefore, it is crucial to monitor these factors closely during patient follow-ups to optimize management strategies.

Indexed as

Blood GlucoseDiabetes MellitusAdolescentAdultAgedCholesterol, HDLDisease ProgressionEthiopiaFastingFemaleHospitals, SpecialHospitals, UniversityHumansLongitudinal StudiesMaleMiddle AgedBlood GlucoseCholesterol, HDLdiabetes mellitusfasting blood sugargrowth curve analysismultilevel model

Identifiers

PMID41383402
PMCPMC12695411

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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.