Showing 21 - 38 results of 38 for search '"5566"', query time: 0.05s Refine Results
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    Mothers’ Care-Seeking Behavior for Common Childhood Illnesses and Its Predictors in Ethiopia: Meta-Analysis by Tiwabwork Tekalign, Mistire Teshome Guta, Nefsu Awoke, Abiyot Wolie Asres, Mohammed Suleiman Obsa

    Published 2022-01-01
    “…After correcting Duval and Tweedie’s trim and fill analysis, the overall pooled prevalence of mothers’ care-seeking behavior is 60.73% (95% CI: 43.49-77.97), whereas the highest prevalence, 74.80% (95% CI: 62.60, 87.00) and 67.77%(95% CI: 55.66, 79.87), was seen in Amhara region and urban residents, respectively, while the lowest, 36.49% (95% CI: -27.21, 100.18) and 47.80% (95% CI:-15.31, 110.9), was seen in South Nation Nationality Peoples’ Regions and among rural residents, respectively. …”
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    Netarsudil as an Adjunctive Therapy: Efficacy and Factors Contributing to a Favorable IOP-Lowering Effect by Sandy Samuel, Hani El Helwe, Cameron E. Neeson, Nathan Hall, Ryan Sameen Meshkin, Nino Odishelidze, Rebecca Ye, Ta C. Chang, David Solá-Del Valle

    Published 2022-01-01
    “…The mean baseline IOP was 19.06 ± 4.6 mmHg on an average of 4 ocular hypotensive medications. 196 (83.1%) patients experienced IOP reduction at the first follow-up visit of 2.84 ± 0.30 mmHg at 55.66 ± 51.89 days. IOP reduction at the second visit among these patients was 3.01 ± 0.44 mmHg at 133.24 ± 77.63 days. …”
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    Levilactobacillus brevis CD2 as a multifaceted probiotic to preserve oral health: results of a double-blind, randomized, placebo-controlled trial in healthy adults by Serena Altamura, Francesca Lombardi, Francesca Rosaria Augello, Antonella Barone, Mario Giannoni, Benedetta Cinque, Davide Pietropaoli

    Published 2025-01-01
    “…This double-blind, randomized controlled trial aimed to evaluate the efficacy of Levilactobacillus brevis CD2 (CNCM I-5566), a multifunctional probiotic frequently used in oral medicine, in preserving or improving several recognized oral health indicators. …”
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    Identification of Clusters in a Population With Obesity Using Machine Learning: Secondary Analysis of The Maastricht Study by Maik JM Beuken, Melanie Kleynen, Susy Braun, Kees Van Berkel, Carla van der Kallen, Annemarie Koster, Hans Bosma, Tos TJM Berendschot, Alfons JHM Houben, Nicole Dukers-Muijrers, Joop P van den Bergh, Abraham A Kroon, Iris M Kanera

    Published 2025-02-01
    “…A significantly higher proportion (1236/1458, 84.77%) in cluster 1 did not work compared to clusters 2 and 3 combined (1486/2670, 55.66%; P<.001). For cluster 2 (n=1521), the most significant continuous variable was a higher energy intake (mean 2755, SD 506.2 kcal/day vs mean 1749, SD 375 kcal/day; P<.001). …”
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