ArticlePloS one2026
Prevalence and associated factors of delayed diagnosis of type 2 diabetes mellitus among adults attending a comprehensive specialized hospital in Central Ethiopia: A facility-based cross-sectional study.
Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundType 2 diabetes mellitus (T2DM) is a chronic metabolic disorder characterized by insulin resistance and progressive pancreatic β-cell dysfunction, leading to persistent hyperglycemia. Delayed diagnosis is a major public health challenge because many patients are recognized only after developing chronic complications, yet evidence on this problem remains limited in Central Ethiopia.
objectiveTo assess the prevalence and associated factors of delayed diagnosis of T2DM among patients attending Wachemo University Nigist Eleni Mohammed Memorial Comprehensive Specialized Hospital (WUNEMMCSH), Central Ethiopia.
methodsA facility-based cross-sectional study was conducted among 390 adult T2DM patients attending follow-up care at WUNEMMCSH between January 2021 and December 2025 (data collection: February 2026), selected by simple random sampling from medical records. Delayed diagnosis was defined as an interval exceeding three months between the first chart-documented fasting plasma glucose (FPG) ≥126 mg/dL and formal physician-documented diagnosis. Bivariable and multivariable binary logistic regression analyses were performed in SPSS version 25, with significance declared at p < 0.05 using adjusted odds ratios (AOR) and 95% confidence intervals (CI).
resultsThe prevalence of delayed diagnosis of T2DM was 25.4% (95% CI: 21.1-29.7). In the multivariable model, rural residence (AOR = 2.37; 95% CI: 1.32-4.24), alcohol consumption (AOR = 3.91; 95% CI: 2.27-6.76, i.e., alcohol users had higher odds of delay than non-users), absence of a history of regular medical check-up (AOR = 3.93; 95% CI: 1.69-9.14), and travel distance to a health facility of one hour or more (AOR = 6.55; 95% CI: 3.16-13.58) were significantly associated with delayed diagnosis. Family history of diabetes, educational status, symptoms at first visit, hypertension, and smoking history were not independently associated with delayed diagnosis in the adjusted model.
conclusionApproximately one in four adults with T2DM attending WUNEMMCSH experienced delayed diagnosis. Strengthening opportunistic blood glucose screening, promoting regular preventive check-ups, expanding diagnostic access for rural and geographically distant populations, and targeted outreach for alcohol-using populations are essential to reduce delayed diagnosis and its downstream complications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.