Evidence map›Paper›PMID 35641604›Full record

ArticleScientific reports2022

Determinants of blood sugar level among type I diabetic patients in Debre Tabor General Hospital, Ethiopia: a longitudinal study.

Molalign Gualu Gobena, Maru Zewdu Kassie

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 51% 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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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 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

2 authors at 1 institution in 1 country.

Molalign Gualu GobenaDepartment of Statistics, Natural and Computational Sciences, Assosa University, Asosa, Ethiopia. molaligngualu@gmail.com.
Maru Zewdu KassieDepartment of Statistics, Natural and Computational Sciences, Assosa University, Asosa, Ethiopia.
Asossa University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2019 among all populous countries in Africa, Ethiopia has the fourth-highest number of people with diabetes (1.7 million). This aggravated prevalence figure implies that diabetes mellitus is a major public health problem in Ethiopia. Due to urbanization, this problem is very critical in the Amhara region, Ethiopia. The study aimed to identify factors that affect the longitudinal fasting blood sugar among T1DM (Type I diabetes mellitus) patients in Debre Tabor General Hospital (DTGH); North-west Ethiopia. A retrospective study design was conducted from 210 randomly selected T1DM patients in the clinic (Outpatient Department) at Debre Tabor General Hospital under the follow-up period from September 2019 to August 2021. To fit these retrospective data records, we used Random intercept and slope models. In this study, the unstructured variance-covariance structure was the appropriate structure for the random intercept and slope model. At a 5% level of significance, family history of diabetes mellitus, age, comorbidity, hemoglobin, and visit time in months were significant factors. Also, all the random effect parameters were statistically significant. It implies that the variability within and between T1DM patients in FBS over time was statistically significant. The mean fasting blood sugar level at baseline was 5.4944 mg/dl and decreased to 5.0679 mg/dl at the final follow-up time. Major contributors for the increment of fasting blood sugar level were increasing age, decreasing haemoglobin, having comorbidity, and belonging from a family with diabetes history. The overall within and between variability in fasting blood sugar level among T1DM patients in DTGH were high. Intervention measures at DTGH level should be undertaken using health education and other measures by providing an emphasis on the prevention, early detection, and treatment of diabetes mellitus.

Indexed as

Diabetes Mellitus, Type 1Hospitals, GeneralBlood GlucoseEthiopiaHumansLongitudinal StudiesRetrospective StudiesBlood Glucose

Identifiers

PMID35641604
PMCPMC9156690
OpenAlexW4281735377

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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.