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Showing 1 - 20 results of 177 for search '(( significant diabetes based ) OR ( significant ((gap decrease) OR (mean decrease)) ))', query time: 0.12s Refine Results
  1. 1

    Patients with early onset of type 1 diabetes have significantly higher GG genotype at position 49 of the CTLA4 gene by Zalloua, Pierre

    Published 2004
    “…The GG genotype was also significantly higher among patients (12.6%) than in controls (4.2%). χ2 analysis and family-based association studies were performed and suggested the association of CTLA4 exon 1 G polymorphism with T1D (p = 0.0229). …”
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  2. 2

    Mass spectrometry-based proteomic profiling of extracellular vesicle proteins in diabetic and non-diabetic ischemic stroke patients: a case-control study by Shahnaz Qadri (2610634)

    Published 2024
    “…This case-control study utilized mass spectrometry-based proteomics to compare EVs from non-diabetic stroke (nDS = 14), diabetic stroke (DS = 13), and healthy control (HC = 12) subjects. …”
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    Metabolomics-based prediction model for diabetes: A comprehensive analysis of biomarkers and machine learning approaches by Doaa Farid (22565300)

    Published 2025
    “…Targeted metabolites were selected based on correlation strength with diabetes status. …”
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    An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health by Belqes Alsadi (18695031)

    Published 2024
    “…</p><h3>Results</h3><p dir="ltr">Ensemble based models XGboost and RF achieved over 84% accuracy for detecting diabetes. …”
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    DiaNet v2 deep learning based method for diabetes diagnosis using retinal images by Hamada R. H. Al-Absi (16726299)

    Published 2024
    “…This study explores an alternative approach involving retinal images, building upon the DiaNet model, the first deep learning model for diabetes detection based solely on retinal images. …”
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    Immunoprofile of childhood diabetes by Meritxell Espino-Guarch (15430868)

    Published 2023
    “…Despite having distinctly different pathologies, both types of diabetes are associated with defects in immune regulation that mediate sensitivity to insulin. …”
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    Children diabetes prevention camps by Nature Research (16552612)

    Published 2015
    “…<p>For the first time, researchers have assessed a Qatar-based diabetes prevention programme for obese youth to understand its structure and impacts. …”
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    Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn... by Mohamed, AlShuweihi

    Published 2020
    “…This research motivated by the unprecedented increase in diabetes and specifically Type 2 Diabetes Miletus (T2DM), proposes two significant contributions. …”
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  10. 10

    Maternal and Neonatal Outcomes Post Bariatric Surgery: A Population-Based Study by Nader I. Al-Dewik (17039794)

    Published 2023
    “…P value was regarded as significant at <0.05</p> <h3>Results</h3> <p>Qatari, advanced maternal age, Parity >1, diabetes, and hypertension were found to be significant risk factors for women with post-BS.…”
  11. 11

    The Effectiveness of Mobile Phone Messaging–Based Interventions to Promote Physical Activity in Type 2 Diabetes Mellitus: Systematic Review and Meta-analysis by Mohammed Alsahli (18281734)

    Published 2022
    “…<h3>Background</h3><p dir="ltr">The prevalence of type 2 diabetes mellitus (T2DM) is increasing worldwide. Physical activity (PA) is an important aspect of self-care and first line management for T2DM. …”
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    The impact of metformin therapy for gestational diabetes on fetal growth in women with risk factors for fetal growth restriction- a registry-based study from Qatar by Komal Rafique (17075074)

    Published 2023
    “…</p> <h3>Conclusion</h3> <p>The results of this study suggest that in women with additional risk factors for FGR, the concurrent use of metformin significantly decreases the birthweight and increases the risk for LBW, SFD, PTB and admission to NICU. …”
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    Performance Evaluation of a New Fluorescent-Based Lateral Flow Immunoassay for Quantification of Hemoglobin A1c (HBA1c) in Diabetic Patients by Nadin Younes (4863280)

    Published 2023
    “…Most importantly, Finecare™ showed a significant difference between normal, pre-diabetic, and diabetic samples (p < 0.0001). …”
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    Maternal microbiota and gestational diabetes: impact on infant health by Parul Singh (191877)

    Published 2023
    “…<div><p>Gestational diabetes mellitus (GDM) is a common complication of pregnancy that has been associated with an increased risk of obesity and diabetes in the offspring. …”
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    How does diabetes mellitus impact on the prognosis of dental implants? by Gabriele Baniulyte (17885981)

    Published 2023
    “…A meta-analysis identified increased risk of peri-implantitis in patients with diabetes mellitus and in smokers when compared to non-diabetic subjects and non-smokers. …”
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    Incidence, risk factors, and feto-maternal outcomes of inappropriate birth weight for gestational age among singleton live births in Qatar: A population-based study by Salma Younes (6424865)

    Published 2021
    “…On the other hand, males (aRR, 1.82; 95% CI, 1.49–2.19), infants born to parous mothers (aRR 2.16; 95% CI, 1.63–2.82), or to mothers with gestational diabetes mellitus (aRR 1.36; 95% CI, 1.11–1.66), or pre-gestational diabetes mellitus (aRR 2.58; 95% CI, 1.8–3.47) were significantly more likely to be LGA. …”
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    Prevalence of newly detected diabetes in pregnancy in Qatar, using universal screening by Mohammed Bashir (5593550)

    Published 2018
    “…This study aims to define the prevalence and outcomes of diabetes first detected in pregnancy based on 75-gram oral glucose tolerance test (OGTT)using the recent WHO/IADPSG guidelines in a high-risk population.…”
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    The Effects of Social Determinants of Health on Cardiovascular Outcomes in Lebanese with Type 2 Diabetes by Saadé, Rita

    Published 2020
    “…Results: Waist circumference, a potent cardiovascular risk factor, was set as the primary outcome based on the data and on the literature. Results in the bivariate analyses showed a significant associations (p<0.05) between waist circumference and the following variables in the demographics (age, school years, work hours, number of rooms, home owning, generator subscription as a source of electricity, public and car transportation, and diabetes family history), anthropometrics and other characteristics (weight, systolic blood pressure, BMI, A1C) and social determinants of health (health literacy and adverse childhood score ACE). …”
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