Chen, Yong
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Publication Nonresectable Hepatocellular Carcinoma: Long-term Toxicity in Patients Treated with Transarterial Chemoembolization - Single-Center Experience(2008-10-01) Buijs, Manon; Vossen, Josephina A; Frangakis, Constantine; Hong, Kelvin; Georgiades, Christos S; Chen, Yong; Liapi, Eleni; Geschwind, Jean-François HPurpose: To determine the toxicity profile of transarterial chemoembolization (TACE) at 6 months and 1 year after treatment in patients with hepatocellular carcinoma (HCC) in a standardized oncology protocol so that TACE could be compared with systemic chemotherapeutic regimens for liver cancer. Materials and Methods: The study was authorized by the institutional review board. Between January 2002 and January 2007, 190 patients (155 men, 35 women; median age, 65 years; age range, 18 – 84 years) with HCC who underwent TACE treatment were identified from a prospectively collected database. Clinical records of complete blood cell counts and chemical profiles at baseline and at 6 and 12 months after treatment were studied retrospectively. Toxicity was graded according to the common terminology criteria for adverse events (CTCAE). A transition (survival) analysis perspective was used to estimate the distribution of toxicity grades. Patient survival from the first TACE session was calculated with Kaplan-Meier analysis. Results: Grade 3 or 4 toxicity 6 and 12 months, respectively, after treatment included leukocytopenia (7% and 19%); anemia (9% and 19%); thromobocytopenia (13% and 23%); prolonged activated partial thromboplastin time (8% and 18%); elevated aspartate aminotransferase (15% and 18%), alanine aminotransferase (10% and 18%), and alkaline phosphatase (8% and 18%) levels; hypoalbuminemia (10% and 19%); hyperbilirubinemia (10% and 22%); and alopecia (18%). The cumulative survival rate was 58% at 1 year, 39% at 2 years, and 29% at 3 years. These toxicity rates were considerably lower than those reported after treatment with currently used systemic chemotherapeutic agents. Conclusion: Study results show that TACE has a favorable long-term toxicity profile in patients with HCC. Data clearly support the role of TACE in the treatment of patients with nonresectable HHC.Publication Association Between β-Genus Human Papillomavirus and Cutaneous Squamous Cell Carcinoma in Immunocompetent Individuals—A Meta-analysis(2016-12-01) Chahoud, Jad; Semaan, Adele; Chen, YongIMPORTANCE Existing epidemiological evidence remains controversial regarding the association between β-genus human papillomavirus (β-HPV) and cutaneous squamous cell carcinoma (cSCC) in immunocompetent individuals. OBJECTIVE We aimed to clarify this association and evaluate type-specific β-HPV involvement. DATA SOURCES We performed a systematic literature search of MEDLINE and EMBASE for studies in humans through June 18, 2014, with no restriction on publication date or language. The following search terms were used: “human papillomavirus” and “cutaneous squamous cell carcinoma or skin squamous cell carcinoma or cSCC or nonmelanoma skin neoplasms.” STUDY SELECTION Articles were independently assessed by 2 reviewers. We only included case-control or cohort studies, in immunocompetent individuals, that calculated the odds ratio (OR) for cSCC associated with overall and type-specific β-HPV. DATA EXTRACTION AND SYNTHESIS We first assessed the heterogeneity among study-specific ORs using the Q statistic and I 2 statistic. Then, we used the random-effects model to obtain the overall OR and its 95% CI for all studies as well as for each type of HPV. We also tested and corrected for publication bias by 3 funnel plot–based methods. The quality of each study was assessed with the Newcastle Ottawa Scale. MAIN OUTCOMES AND MEASURES Pooled ORs and 95% CIs for overall β-HPV and HPV types 5, 8, 15, 17, 20, 24, 36, and 38 association with skin biopsy proven cSCC. RESULTS Seventy-nine articles were assessed for eligibility; 14 studies met inclusion criteria for the meta-analysis and included 3112 adult immunocompetent study participants with cSCC and 6020 controls. For all detection methods, the overall association between β-HPV and cSCC was significant with an adjusted pooled OR (95% CI) of 1.42 (1.18-1.72). As for the type-specific analysis, types 5, 8, 15, 17, 20, 24, 36, and 38 showed a significant association with adjusted pooled ORs (95% CIs) of 1.4 (1.18-1.66), 1.39 (1.16-1.66), 1.25 (1.04-1.50), 1.34 (1.19-1.52), 1.38 (1.21-1.59), 1.26 (1.09-1.44), 1.23 (1.01-1.50), and 1.37 (1.13-1.67) respectively. Our subgroup analysis in studies using only serology for HPV detection showed a significant association between overall β-HPV and HPV subtypes 5, 8, 17, 20, 24, and 38 with an increased risk of cSCC development. CONCLUSIONS AND RELEVANCE This study serves as added evidence supporting β-HPV as a risk factor for cSCC in healthy individuals. The subgroup analysis highlights this significant association for HPV 5, 8, 17, 20, and 38, which may help to direct future prevention effortsPublication mmeta: An R Package for Multivariate Meta-Analysis(2014-01-01) Luo, Sheng; Chen, Yong; Su, Xiao; Chu, HaitaoThis paper describes the core features of the R package mmeta, which implements the exact posterior inference of odds ratio, relative risk, and risk difference given either a single 2 x 2 table or multiple 2 x 2 tables when the risks within the same study are independent or correlated.Publication Trivalent Influenza Vaccine Adverse Event Analysis Based On MedDRA System Organ Classes Using VAERS Data(2015-01-01) Tao, Cui; Du, Jingcheng; Cai, Yi; Chen, YongWe studied serious reports following influnza vaccine from VAERS database in year 2011. Our statistical analyses revealed differences of reactions among different age groups and between genders. The results may lead to additional studies to uncover factors contributing to the individual differences in susceptibility to influenza infection.Publication Automated Evaluation of Medical Software Usage: Algorithm and Statistical Analyses(2015-01-01) Cao, Ming; Chen, Yong; Zhu, Min; Zhang, JiajieEvaluating the correctness of medical software usage is critically important in healthcare system management. Turf is a software that can effectively collect interactions between user and computer. In this paper, we propose an algorithm to compare the recorded human-computer interaction events with a predefined path. Based on the pass/fail results, statistical analysis methods are proposed for two applications: to identify training effects and to compare products of the same functionality.