45.3 %45.3% of primary care physicians had adequate knowledge of glycemic thresholds for diagnosis of diabetes using random blood glucose.
Nigeriadiabète (non précisé)published 2020BMC family practicePubMeddocument of 19 observations
Gold tier: mechanically validated evidence, with its primary source.
359 evidence items · page 11 / 15
45.3 %45.3% of primary care physicians had adequate knowledge of glycemic thresholds for diagnosis of diabetes using random blood glucose.
Nigeriadiabète (non précisé)published 2020BMC family practicePubMeddocument of 19 observations
The MDA and NO levels were significantly reduced with an improvement in CAT, SOD, and GPx activity in the kidneys and brains of diabetic rats treated with G. latifolium.
Nigeriadiabète (non précisé)published 2020Journal of the science of food and agriculturePubMeddocument of 2 observations
2.62 odds_ratioThe odds ratio for family history of diabetes mellitus was 2.62 (95% confidence interval: 0.88–6.50).
Nigeriadiabète (non précisé)published 2020Current diabetes reviewsPubMeddocument of 5 observations
19 %La fréquence de la neuropathie périphérique était de 19 % chez les personnes diabétiques au Nigeria selon l'étude d'Ikem RT et al (2005).
Nigeriadiabète (non précisé)observed 2005HAL · Unilimdocument of 747 observations
69.1 %Among stroke patients admitted in a tertiary hospital in Enugu, diabetes was the commonest risk factor, present in 69.1% of patients.
Nigeriadiabète (non précisé)published 2022West African journal of medicinePubMeddocument of 9 observations
10.7 %16 individuals (10.7%) had comorbidity of hypertension and diabetes.
Nigeriadiabète (non précisé) · hypertension artériellepublished 2025BMC public healthPubMeddocument of 7 observations
7.7 %Of 671 participants in the study, 52 (7.7%) had diabetes mellitus.
Nigeriadiabète (non précisé)published 2021International journal of mycobacteriologyPubMeddocument of 3 observations
8.8 %Diabetes mellitus had a prevalence of 8.8% among patients with out-of-hospital cardiac arrest.
Nigeriadiabète (non précisé) · out-of-hospital cardiac arrestpublished 2026Nigerian journal of clinical practicePubMeddocument of 11 observations
81.1 %Most participants (81.1%) demonstrated poor knowledge of diabetes' clinical features.
Nigeriadiabète (non précisé)published 2020The Pan African medical journalPubMeddocument of 6 observations
Administration of polyphenolic extracts of Lam stem bark and metformin resulted in a significant reduction in fasting blood glucose, lipid peroxidation, glucose-6-phosphatase, and all anti-inflammatory parameters in streptozotocin-induced diabetic rats.
Nigeriadiabète (non précisé)published 2020Journal of evidence-based integrative medicinePubMeddocument of 4 observations
49.1 %Approximately half (49.1%) of the 212 non-diabetic hypertensive patients had inadequate knowledge of diabetes.
Nigeriadiabète (non précisé)published 2020The Pan African medical journalPubMeddocument of 6 observations
0.77 index_scoreThe median EQ-5D-5L index score was 0.77 (interquartile range: 0.62–0.90).
Nigeriadiabète (non précisé)published 2023Scientific reportsPubMeddocument of 7 observations
20.6 %Diabetes mellitus was present in 214 out of 1063 hypertensive patients (20.6%) in north-central Nigeria.
Nigeriadiabète (non précisé) · hypertension artériellepublished 2020Nigerian journal of clinical practicePubMeddocument of 9 observations
5.3 mmol/LThe mean total cholesterol level among hypertensive patients was 5.3 ± 1.2 mmol/L, compared to 5.2 ± 1.7 mmol/L among diabetic patients.
Nigeriadiabète (non précisé) · hypertension artériellepublished 2023West African journal of medicinePubMeddocument of 9 observations
11.5 %Family history of diabetes mellitus was present in 11.5% of individuals.
Nigeriadiabète (non précisé)published 2020Saudi journal of kidney diseases and transplantation : an official publication of the SaudPubMeddocument of 12 observations
20.9 %Among 325 patients, 68 (20.9%) were both hypertensive and diabetic.
Nigeriadiabète (non précisé) · hypertension artériellepublished 2023The Nigerian postgraduate medical journalPubMeddocument of 6 observations
26.2 %The proportion of people with diabetes mellitus having any retinopathy and/or maculopathy is 26.2% in Katsina State, Nigeria.
Nigeriadiabète (non précisé) · diabetic retinopathy · maculopathyobserved 2018published 2020Ophthalmic epidemiologyPubMeddocument of 7 observations
53.5 yearsThe mean age of the 236 patients with diabetes mellitus was 53.5 ± 12.3 years.
Nigeriadiabète (non précisé)published 2021Annals of African medicinePubMeddocument of 9 observations
G. latifolium effectively ameliorated COX-2 in diabetic rats.
Nigeriadiabète (non précisé)published 2020Journal of the science of food and agriculturePubMeddocument of 2 observations
36.4 %The proportion of diabetic females who reported problems in the lubrication domain was 36.4%.
Nigeriadiabète (non précisé)published 2020Journal of sex & marital therapyPubMeddocument of 13 observations
6 yearsThe median duration of diabetes mellitus for all subjects was 6.00 years with interquartile range 3.00 to 11.00 years.
Nigeriadiabète (non précisé)published 2022The Pan African medical journalPubMeddocument of 16 observations
4.5 %Adhesive capsulitis was more frequent in subjects with diabetes mellitus (4.5%) than in non-diabetic controls (1.5%).
Nigeriaadhesive capsulitis · diabète (non précisé)published 2020ReumatismoPubMeddocument of 8 observations
27 %The study reported low availability of DM job aids (27%) in the surveyed PHCs.
Nigeriadiabète (non précisé)observed 2021published 2024BMC primary carePubMeddocument of 8 observations
68 %About 68% of the non-insured diabetic patients incurred catastrophic health expenditure.
Nigeriadiabète (non précisé)published 2025Nigerian journal of clinical practicePubMeddocument of 6 observations
12.1 %The prevalence of diabetes mellitus among staff of Ekiti State University, Nigeria was 12.1%.
Nigeriadiabète (non précisé)published 2021International quarterly of community health educationPubMeddocument of 8 observations
Every row leads to its source document. The figure shown counts the VALIDATED observations it carries, never the extracted ones: the two differ on most documents. The exact source excerpt is not published, due to copyright constraints.