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  • SAGE Publications  (102)
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  • SAGE Publications  (102)
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  • 1
    Online Resource
    Online Resource
    Prognostic Values of Platelet-Associated Indicators in Resectable Cervical Cancer
    SAGE Publications ; 2019
    In:  Dose-Response Vol. 17, No. 3 ( 2019-07), p. 155932581987419-
    Details
    In: Dose-Response, SAGE Publications, Vol. 17, No. 3 ( 2019-07), p. 155932581987419-
    Abstract: Cervical cancer is one of the leading causes of cancer mortality in women, which seriously threatens the health of women worldwide. Platelet (PLT)-related parameters, including PLT count, mean platelet volume (MPV), plateletcrit (PCT), and platelet distribution width (PDW), are correlated with tumor prognosis. Methods: In total, 110 patients with cervical carcinoma were recruited in this study. The patients were divided into 2 groups according to the receiver operating characteristic analysis cutoff values of PLT, MPV, PCT, or PDW. The post-/preradiotherapy ratios were defined as the rate of preradiotherapy PLT-related parameters counts and the corresponding ones obtained after radiotherapy. Results: Higher pretreatment PLT level was correlated with Higher Federation of Gynecology and Obstetrics (FIGO) stage (II). Higher pretreatment PLT level was correlated with worse progression-free survival (PFS) and overall survival (OS). Increased post-/preradiotherapy ratio of PLT was correlated with worse PFS and OS. Changes in PCT, MPV, or PDW levels had no effects on PFS or OS. Cox regression analysis model indicated that larger tumor size, higher pretreatment PLT level, and increased post-/preradiotherapy PLT ratio were independently associated with worse PFS; higher FIGO stage (II) and increased post-/preradiotherapy PLT ratio were independently associated with worse OS. Conclusion: Pretreatment PLT level and increased post-/preradiotherapy PLT ratio are correlated with outcomes of cervical cancer.
    Type of Medium: Online Resource
    ISSN: 1559-3258 , 1559-3258
    URL: Article
    DOI: 10.1177/1559325819874199
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2440820-7
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  • 2
    Online Resource
    Online Resource
    Prognostic Value of Combined Lactate Dehydrogenase, C-Reactive Protein, Cancer Antigen 153 and Cancer Antigen 125 in Metastatic Breast Cancer
    SAGE Publications ; 2022
    In:  Cancer Control Vol. 29 ( 2022-01), p. 107327482110531-
    Details
    In: Cancer Control, SAGE Publications, Vol. 29 ( 2022-01), p. 107327482110531-
    Abstract: Breast cancer (BC), especially metastatic BC, is one of the most lethal diseases in women. CA 125 and CA 15-3 are commonly used indicators for diagnosis and prognosis of BC. Some serological indicators, such as lactate dehydrogenase (LDH) and C-reactive protein (CRP), can also be used to assess the prognosis and progression in BC. Methods Univariate Cox regression analysis and LASSO regression analysis were performed to identify prognostic factors and build prognostic models. We distributed the patients into 2 groups based on the median risk score, analyzed prognosis by Kaplan–Meier curve, and screened independent prognostic factors by multivariate Cox regression analysis. Result We identified 4 indicators-LDH, CRP, CA 15-3, and CA 125—related to the prognosis in BC and established a prognostic model. The high LDH group showed worse overall survival (OS) than low LDH group ( P = .017; hazard ratio (HR), 1.528; 95% confidence interval (CI), 1.055-2.215). The high CRP group showed worse OS than low CRP group ( P = .004; HR, 1.666; 95% CI, 1.143-2.429). The high CA153 group showed worse OS than low CA 15-3 group (P=.011; HR, 1.563; 95% CI, 1.075-2.274). The high CA 125 group showed worse OS than low CA 125 group ( P = .021; HR, 1.499; 95% CI, 1.031-2.181). The area under the curve for risk score was .824, Ki-67 was .628, age was .511, and grade was .545. Risk score was found to be an independent prognostic factor using multivariate Cox regression analysis. Conclusion We successfully established an optimization model by combining 4 prognosis-related indicators to assess the prognosis in patients with metastatic BC.
    Type of Medium: Online Resource
    ISSN: 1073-2748 , 1073-2748
    URL: Article
    DOI: 10.1177/10732748211053150
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2004182-2
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  • 3
    Online Resource
    Online Resource
    NLRP3 Deficiency Ameliorates Neurovascular Damage in Experimental Ischemic Stroke
    SAGE Publications ; 2014
    In:  Journal of Cerebral Blood Flow & Metabolism Vol. 34, No. 4 ( 2014-04), p. 660-667
    Details
    In: Journal of Cerebral Blood Flow & Metabolism, SAGE Publications, Vol. 34, No. 4 ( 2014-04), p. 660-667
    Abstract: Although the innate immune response to induce postischemic inflammation is considered as an essential step in the progression of cerebral ischemia injury, the role of innate immunity mediator NLRP3 in the pathogenesis of ischemic stroke is unknown. In this study, focal ischemia was induced by middle cerebral artery occlusion in NLRP3 −/− , NOX2 −/− , or wild-type (WT) mice. By magnetic resonance imaging (MRI), Evans blue permeability, and electron microscopic analyses, we found that NLRP3 deficiency ameliorated cerebral injury in mice after ischemic stroke by reducing infarcts and blood–brain barrier (BBB) damage. We further showed that the contribution of NLRP3 to neurovascular damage was associated with an autocrine/paracrine pattern of NLRP3-mediated interleukin-1 β (IL-1 β) release as evidenced by increased brain microvessel endothelial cell permeability and microglia-mediated neurotoxicity. Finally, we found that NOX2 deficiency improved outcomes after ischemic stroke by mediating NLRP3 signaling. This study for the first time shows the contribution of NLRP3 to neurovascular damage and provides direct evidence that NLRP3 as an important target molecule links NOX2-mediated oxidative stress to neurovascular damage in ischemic stroke. Pharmacological targeting of NLRP3-mediated inflammatory response at multiple levels may help design a new approach to develop therapeutic strategies for prevention of deterioration of cerebral function and for the treatment of stroke.
    Type of Medium: Online Resource
    ISSN: 0271-678X , 1559-7016
    URL: Article
    DOI: 10.1038/jcbfm.2013.242
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2014
    detail.hit.zdb_id: 2039456-1
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  • 4
    Online Resource
    Online Resource
    Integrating Human Insights Into Text Analysis: Semi-Supervised Topic Modeling of Emerging Food-Technology Businesses’ Brand Communication on Social Media
    SAGE Publications ; 2023
    In:  Social Science Computer Review
    Details
    In: Social Science Computer Review, SAGE Publications
    Abstract: Textual social media data have become indispensable to researchers’ understanding of message strategies and other marketing practices. In a new departure for the field of brand communication, this study adopts and extends a semi-supervised machine-learning approach, guided latent Dirichlet allocation (LDA), which incorporates human insights into the discovery and classification of topics. We used it to analyze tweets from businesses involved with an emerging food technology, cultured meat, and delineated four key message strategies used by these brands: providing functional, educational, corporate social responsibility, and relational content. We further ascertained the relationships between brands and the key topics embedded in their Twitter data. A comparison of model performance suggests that guided LDA can be an advantageous alternative to traditional LDA, which is characterized by high efficiency and immense popularity among researchers, but—because of its unsupervised nature—yields findings that can be difficult to interpret. The present study therefore has critical theoretical and methodological implications for communication and marketing scholars.
    Type of Medium: Online Resource
    ISSN: 0894-4393 , 1552-8286
    URL: Article
    DOI: 10.1177/08944393231184532
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2021894-1
    SSG: 3,4
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  • 5
    Online Resource
    Online Resource
    Citizens’ intention to follow recommendations from a government-supported AI-enabled system
    SAGE Publications ; 2023
    In:  Public Policy and Administration
    Details
    In: Public Policy and Administration, SAGE Publications
    Abstract: Artificial intelligence (AI) applications in public services are an emerging and crucial issue in the modern world. Many countries utilize AI-enabled systems to serve citizens and deliver public services. Although AI can bring more efficiency and responsiveness, this technology raises privacy and social inequality concerns. From the perspective of behavioral public administration (BPA), citizens’ use of AI-enabled systems depends on their perception of this technology. This study proposes a conceptual framework connecting citizens’ perceptions, trust, and intention to follow instructions from the government-supported AI-enabled recommendation system in the pandemic. Our study launches an online-based experimental survey and analyzes the data with the partial least square structural equation model (PLS-SEM). The research findings suggest that algorithmic transparency increases trust in the recommendations, but privacy concerns decrease the trust when the system asks for sensitive information. Additionally, citizens familiar with technologies are more likely to trust the recommendations in the feature-based communication strategy. Finally, trust in the recommendations can mediate the impacts of citizens’ perceptions of the AI system. This study clarifies the effects of perceptions, identifies the role of trust, and explores the communication strategies in citizens’ intention to follow the AI-enabled system recommendations. The results can deepen AI research in public administration and provide policy suggestions for the public sector to develop strategies to increase policy compliance with system recommendations.
    Type of Medium: Online Resource
    ISSN: 0952-0767 , 1749-4192
    URL: Article
    DOI: 10.1177/09520767231176126
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2262638-4
    SSG: 2
    SSG: 3,6
    SSG: 3,7
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  • 6
    Online Resource
    Online Resource
    A multiple genomic data fused SF2 prediction model, signature identification, and gene regulatory network inference for personalized radiotherapy
    SAGE Publications ; 2020
    In:  Technology in Cancer Research & Treatment Vol. 19 ( 2020-01-01), p. 153303382090911-
    Details
    In: Technology in Cancer Research & Treatment, SAGE Publications, Vol. 19 ( 2020-01-01), p. 153303382090911-
    Abstract: Radiotherapy is one of the most important cancer treatments, but its response varies greatly among individual patients. Therefore, the prediction of radiosensitivity, identification of potential signature genes, and inference of their regulatory networks are important for clinical and oncological reasons. Here, we proposed a novel multiple genomic fused partial least squares deep regression method to simultaneously analyze multi-genomic data. Using 60 National Cancer Institute cell lines as examples, we aimed to identify signature genes by optimizing the radiosensitivity prediction model and uncovering regulatory relationships. A total of 113 signature genes were selected from more than 20,000 genes. The root mean square error of the model was only 0.0025, which was much lower than previously published results, suggesting that our method can predict radiosensitivity with the highest accuracy. Additionally, our regulatory network analysis identified 24 highly important ‘hub’ genes. The data analysis workflow we propose provides a unified and computational framework to harness the full potential of large-scale integrated cancer genomic data for integrative signature discovery. Furthermore, the regression model, signature genes, and their regulatory network should provide a reliable quantitative reference for optimizing personalized treatment options, and may aid our understanding of cancer progress mechanisms.
    Type of Medium: Online Resource
    ISSN: 1533-0346 , 1533-0338
    URL: Article
    DOI: 10.1177/1533033820909112
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2020
    detail.hit.zdb_id: 2146365-7
    detail.hit.zdb_id: 2220436-2
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  • 7
    Online Resource
    Online Resource
    Detection of perioperative myocardial infarction with ischemia-modified albumin
    SAGE Publications ; 2012
    In:  Asian Cardiovascular and Thoracic Annals Vol. 20, No. 3 ( 2012-06), p. 252-256
    Details
    In: Asian Cardiovascular and Thoracic Annals, SAGE Publications, Vol. 20, No. 3 ( 2012-06), p. 252-256
    Abstract: We assessed the perioperative pattern of serum ischemia-modified albumin and its role as a myocardial ischemia indicator for early detection of perioperative myocardial infarction in patients undergoing off-pump coronary artery bypass grafting. Venous blood samples were collected from 63 consecutive patients before the operation, immediately after the operation, and at 3, 6, 12, and 24 h postoperatively. Serum ischemia-modified albumin levels were analyzed using an albumin cobalt binding test. The patients were divided into 2 groups retrospectively, according to the occurrence of perioperative myocardial infarction. The serum ischemia-modified albumin levels were compared between groups. The levels peaked immediately after the operation, followed by a gradual regression, but remained elevated during the first 24 h in all patients. The occurrence of perioperative myocardial infarction was identified in 10 patients who had significantly higher ischemia-modified albumin levels at 3 h postoperatively and slower regression rates. Perioperative serum ischemia-modified albumin levels might be helpful in predicting perioperative myocardial infarction.
    Type of Medium: Online Resource
    ISSN: 0218-4923 , 1816-5370
    URL: Article
    DOI: 10.1177/0218492311434947
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2012
    detail.hit.zdb_id: 2044527-1
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  • 8
    Online Resource
    Online Resource
    Expression and clinical significance of DOK3 in renal clear cell carcinoma
    SAGE Publications ; 2023
    In:  Journal of International Medical Research Vol. 51, No. 5 ( 2023-05), p. 030006052311749-
    Details
    In: Journal of International Medical Research, SAGE Publications, Vol. 51, No. 5 ( 2023-05), p. 030006052311749-
    Abstract: Docking Protein 3 (DOK3) is an adapter protein that has been implicated in various cellular processes relevant to diseases, such as cancer. In this study, we aimed to evaluate the role of DOK3 in kidney renal clear cell carcinoma (KIRC) by examining how its expression levels are correlated with patient characteristics and prognosis. Methods We analyzed KIRC-related data from The Cancer Genome Atlas and used several bioinformatics tools, such as LinkedOmics and Oncomine, to evaluate DOK3 mRNA expression in KIRC. DOK3 protein expression was examined in 150 clinical KIRC samples and 100 non-cancerous renal tissues with immunohistochemistry assays. The prognostic value of DOK3 mRNA expression on patient overall survival was analyzed retrospectively using Kaplan–Meier survival and Cox regression analyses. Results DOK3 mRNA expression was notably higher in KIRC samples compared with normal tissues. Significant correlations were found between DOK3 mRNA expression levels and tumor size, lymph node metastasis, distant metastasis, and pathological grade using the bioinformatics data. This was confirmed at the protein level with immunohistochemistry data. Survival analyses indicated that elevated DOK3 expression is linked to a lower overall survival rate in KIRC patients. Conclusions DOK3 is a potential biomarker for determining KIRC patient clinical prognosis.
    Type of Medium: Online Resource
    ISSN: 0300-0605 , 1473-2300
    URL: Article
    DOI: 10.1177/03000605231174974
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2082422-1
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  • 9
    Online Resource
    Online Resource
    Pure and Mixed Imaging Tests, Precision, and Sex Dependence in Patellofemoral Imaging: Response
    SAGE Publications ; 2023
    In:  Orthopaedic Journal of Sports Medicine Vol. 11, No. 1 ( 2023-01-01), p. 232596712211426-
    Details
    In: Orthopaedic Journal of Sports Medicine, SAGE Publications, Vol. 11, No. 1 ( 2023-01-01), p. 232596712211426-
    Type of Medium: Online Resource
    ISSN: 2325-9671 , 2325-9671
    URL: Article
    DOI: 10.1177/23259671221142609
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2706251-X
    SSG: 31
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  • 10
    Online Resource
    Online Resource
    Treatment Success with Titratable Thermoplastic Mandibular Advancement Devices for Obstructive Sleep Apnea: A Comparison of Patient Characteristics
    SAGE Publications ; 2017
    In:  Ear, Nose & Throat Journal Vol. 96, No. 3 ( 2017-03), p. E25-E32
    Details
    In: Ear, Nose & Throat Journal, SAGE Publications, Vol. 96, No. 3 ( 2017-03), p. E25-E32
    Abstract: A titratable thermoplastic mandibular advancement devices (MAD) is clearly an effective treatment option in some patients with obstructive sleep apnea (OSA). Determining which patients may be more likely to respond to treatment with thermoplastic MADs and to adhere to treatment would be of obvious clinical relevance. This was an experimental descriptive study (N = 60). Patients with OSA were instructed to wear a titratable thermoplastic MAD for 3 months. Treatment success was defined as a ≥50% reduction from baseline in the apnea-hypopnea index (AHI) or AHI 〈 10 when wearing MAD. Adherence was defined as MAD use ≥5 nights/week. Treatment was successful in 66.7% of patients and 60.0% were adherent. All Polysomnographic parameters and visual analogue scale scores (sleep quality, snoring, waking refreshed) were significantly improved after treatment. The patients in whom treatment failed had significantly higher neck circumferences (39.3 cm vs. 37.5 cm, p = 0.014), higher baseline AHI values (26.6 vs. 18.0, p = 0.016), and smaller AHI reduction (-31.8 vs -53.1, p 〈 0.001) than those in the group in whom treatment succeeded. There were no significant differences in Polysomnographic, cephalometric, or visual analogue scale measures between patients for whom treatment was and was not successful, regardless of baseline values or the change rates after the MAD was placed. Titratable thermoplastic MADs can improve indicators of sleep quality, even in patients in whom treatment is considered to have failed.
    Type of Medium: Online Resource
    ISSN: 0145-5613 , 1942-7522
    URL: Article
    DOI: 10.1177/014556131709600322
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2017
    detail.hit.zdb_id: 2067528-8
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