Evidence map›Paper›PMID 40481244›Full record

ArticleScientific reports2025

Time to achieve optimal glycemic control and its determinants among diabetes mellitus patients receiving treatment: a retrospective study.

Maru Zewdu Kassie, Chekol Alemu, Habitamu Wudu, Buzuneh Tasfa Marine, Asaye Alamneh Gebeyehu

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Maru Zewdu KassieDepartment of Statistics, College of Natural and Computational Sciences, Assosa University, Assosa, Ethiopia. maruzewdu68@gmail.com.ORCID https://orcid.org/0000-0001-5291-9623
Chekol AlemuDepartment of Statistics, College of Natural and Computational Sciences, Gambella University, Gambella, Ethiopia.
Habitamu WuduDepartment of Statistics, College of Natural and Computational Sciences, Gambella University, Gambella, Ethiopia.
Buzuneh Tasfa MarineDepartment of Epidemiology, Faculty of Public Health, Jimma University, Jimma, Ethiopia.
Asaye Alamneh GebeyehuDepartment of Public Health, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus (DM) is a major public health problem responsible for morbidity and mortality. Maintaining blood sugar control helps patients achieve optimal glycemic levels. Therefore, this study aimed to identify the factors affecting the time to achieve optimal glycemic control among DM patients at Assosa General Hospital (AGH), Western Ethiopia. A retrospective study design was conducted from 427 randomly selected DM patients in the outpatient department (OPD) clinic at AGH under the follow-up period from September 2022 to September 2024. The median survival time, Kaplan-Meier survival estimate, and Log-Rank test were used to describe the data and compare the survival time between groups. The study used Cox PH model to analyze the time to achieve optimal glycemic control of DM patients, where hazard ratio, p-value, and 95% CI for hazard ratio were used for testing significance. Schoenfeld and Cox-Snell residuals were used to check the model assumptions. The median time to optimal glycemic control for DM patients was 12 months. At the end of the follow-up, 74.2% of the patients had developed an event and the rest 25.8% were censored. The significant predictors of time to optimal glycemic control include: older age (AHR = 0.871(95% CI 0.809, 0.937)), females (AHR = 1.295 (95% CI 1.024, 1.639)), having FHDM (AHR = 1.681(95% CI 1.313, 2.153)), rural residence(AHR = 0.463(95% CI 0.354, 0.607)), presence of comorbidity (AHR = 0.508(95% CI 0.302, 0.854)), DM related complications (AHR = 0.419(95% CI 0.326, 0.539)), high BLBGL AHR = 0.997(95% CI 0.995, 0.998)). This study found the factors that prolonged or shortened the time to reach optimal glycaemic control for T2DM patients. The study revealed that older age, male patients, patients having other related comorbidities and patients with no FHDM, patients having DM-related complications as poor prognostic factors of T2DM disease and also prolonged recovery time. Therefore, attention should be given to these patients to obtain good glycaemic levels and the patient being healthy.

Indexed as

Blood GlucoseDiabetes MellitusDiabetes Mellitus, Type 2Glycemic ControlAdultAgedEthiopiaFemaleGlycated HemoglobinHumansKaplan-Meier EstimateMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesTime FactorsBlood GlucoseGlycated HemoglobinAnd blood glucose levelCox-PH modelDiabetes mellitusRetrospective studyTime to optimal glycemic control

Identifiers

PMID40481244
PMCPMC12144107

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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.