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    Can the reduction of cytokines stop the progression of sepsis?
    (Cureus, Inc., 2022) Koç, Suna; Çelebi, Serdar; Hanikoğlu, Ferhat; Polat, Yalçın; Börkü Uysal, Betül; Dokur, Mehmet; Özer, Türkan; Yavuzer, Serap; İslamoğlu, Mehmet Sami; Cengiz, Mahir; Vardar, Gökay; Küpeli, İlke
    Objective In this study, we aimed to analyze the laboratory and clinical results of cytokine hemadsorption as an immunomodulation therapy in ICU patients diagnosed with sepsis or septic shock. Methods The levels of procalcitonin (PCT) and C-reactive protein (CRP), determined to be indicators of infection/sepsis, and the levels of interleukins (IL-6, IL-8, and IL-10) and tumor necrosis factor α (TNFα), deemed as indicators of the cytokine storm, were compared among 32 patients before and after the hemadsorption procedure. Results The hemadsorption significantly reduced the levels of IL-6, IL-8, IL-10, TNFα, PCT, CRP, Acute Physiology and Chronic Health Evaluation (APACHE) scores, mortality rate, and Sequential Organ Failure Assessment (SOFA) scores (p<0.05). APACHE scores and the mean predicted mortality rate (PMR) of the non-survivors measured before the procedure was significantly higher than those of survivors (p=0.002 for both). IL-10, APACHE scores, and the mortality rates determined before the hemadsorption procedure were deemed significant parameters to predict the mortality among all ICU patients (p<0.05). IL-10 levels ≤125.3 ng/L, APACHE score >30, and PMR >70.33 were significantly associated with the mortality rates of all patients, indicating that these three parameters determined before the hemadsorption may be good predictors of mortality among ICU patients with sepsis. Conclusion The progression of sepsis in ICU patients may be prevented with cytokine hemadsorption applied as an immunomodulator therapy.
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    Evaluation of the relationship between cancer and antioxidants from an altmetric perspective
    (Kare Yayıncılık, 2022) Vardar, Gökay; Hanikoğlu, Ferhat; Güney, Türkan; Dokur, Mehmet; Karadağ, Mehmet
    Objectives: Antioxidants have been shown in research to have significant effects on serious diseases, particularly can cer. The goal of our experiment was to determine and analyzed 100 articles with the highest Altmetric attention scores (AAS) concerning antioxidants and cancer. Methods: Altmetric score analyzes were obtained downloading the from the Altmetric.com website. A research out put's altmetric score was calculated using an algorithm based on the weighted number of all attention it receives. Results: The Altmetric scores of the 100 articles analyzed varied from 12 to 846. Twitter (n=86) was the most mentioned social media network in the articles. According to the research categories of the T100 articles in our analysis, the majority were published in "Medical and Health Science''. In terms of Twitter geographical breakdown, the United States leads among other nations, followed by the United Kingdom. According to Twitter demographics, the most of tweets on antioxidants and cancer were shared by members of the public. Conclusion: In science and research, social media is advocated as an alternative to traditional power structures and our findings could provide a preliminary look at the social, clinical, and academic impact of antioxidant and cancer research.
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    A social attention with altmetric score analysis on the relationship between oxidative stress and cancer
    (Effect Publishing Agency, 2022) Hanikoğlu, Ferhat; Vardar, Gökay; Özben, Tomris; Karadağ, Mehmet; Dokur, Mehmet
    Oxidative stress has a crucial role in the development of various cancers. The aim of our study was to identify and analyze research articles about oxidative stress and cancer that have attracted the highest online attention. Our study is the first one evaluating social media attention to the articles on cancer and oxidative stress published in academic literature. Altmetric Explorer was used to identify research articles about oxidative stress and cancer. We evaluated the top 50 research articles having the highest Altmetric attention scores (AAS), using the Altmetric.com database. The Altmetric Attention Score (AAS) of 50 articles (T50) investigated was between 15 and 445 (mean±SD; 60.66±86.18). The social media platforms where the T50 articles are mentioned from highest to the lowest scores are the Facebook (n=2678) followed by Twitter (n=886) and Google + users (n=214). According to demographic breakdowns in Twitter, tweet counts were similar between scientists (34%) and not scientists (32%). Total citations of the 50 articles ranged from 3 to 3700 (mean ± SE; 203.40±87.07). A weak statistically significant positive correlation was found between the Altmetric score and the Q category (r=0.338: p=0.016). Interestingly, there was no correlation between Altmetric score and number of article citations. The increasing use of online social media platforms makes this area worthy, and the online impact of an article is becoming progressively more convenient for academic and public accessibility. Social media also may give oppurtunity to the researchers for disseminating their studies in scholar and non-scholar platforms.