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87261por Rezq, Samar, Huffman, Alexandra M, Syed, Maryam, Basnet, Jelina, do Carmo, Jussara M, Moak, Sydney P, Cardozo, Licy L Yanes, Romero, Damian G“…Gene expression for browning (UCP1, Cox7a1, Elov3, Dio2 and Cidea) and beiging (Hspb7 and Txb1) markers was quantified by RT-qPCR in SC-WAT and BAT. …”
Publicado 2021
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87262por Gosmanova, Elvira, Ayodele, Olulade, Sherry, Nicole, Mu, Fan, Briggs, Allie, Swallow, Elyse, Rejnmark, Lars“…Risk of CKD was assessed in a Kaplan-Meier analysis and a Cox proportional hazards model adjusted for demographic characteristics, baseline clinical conditions (including acute manifestations of hypoparathyroidism), and baseline laboratory measurements. …”
Publicado 2021
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87263por Bliuc, Dana, Tran, Thach, Alarkawi, Dunia, Chen, Weiwen, Blank, Robert D, Ensrud, Kristine E, Blith, Fiona, March, Lyn, Center, Jacqueline“…Outcomes ascertained by logistic regression and re-fracture risk by Cox models. Results: Individuals at high fracture risk were significantly older [women (mean age ±SD) 77 ± 10 vs 57 ±4 for high- vs low risk and men 86±5 vs 65±8 for high vs low risk] and had a higher morbidity burden [women, CCI ≥ 2 40% vs 12% for high- vs low-risk and men 53% vs 26% for high vs low risk]. …”
Publicado 2021
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87264por Lui, David T W, Lee, Chi Ho, Tang, Vikki, Fong, Carol H Y, Lee, Alan C H, Chiu, Joanne W Y, Leung, Roland C Y, Kwok, Gerry G W, Li, Bryan C W, Cheung, Tan To, Woo, Yu Cho, Lam, Karen S L, Yau, Thomas“…Prior anti-PD1 exposure (OR 3.67, 95% CI 1.19-11.4, p=0.024) independently predicted thyroid irAEs. Multivariable Cox regression analysis revealed that occurrence of thyroid irAEs was associated with better overall survival (adjusted hazard ratio 0.39, 95% CI 0.19-0.79, p=0.009), independent of prior exposure to anti-PD1 (p=0.386) and prior TKI exposure (p=0.155). …”
Publicado 2021
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87265por Quaranta, Maria Giovanna, Ferrigno, Luigina, Tata, Xhimi, D’Angelo, Franca, Coppola, Carmine, Ciancio, Alessia, Bruno, Serena Rita, Loi, Martina, Giorgini, Alessia, Margotti, Marzia, Cossiga, Valentina, Brancaccio, Giuseppina, Dallio, Marcello, De Siena, Martina, Cannizzaro, Marco, Cavalletto, Luisa, Massari, Marco, Mazzitelli, Maria, De Leo, Pasqualina, Laccabue, Diletta, Baiocchi, Leonardo, Kondili, Loreta A.“…Changes in Child-Pugh (C-P) class and the occurrence of a decompensating event was prospectively evaluated after the end of DAA treatment. Cox regression analysis was used to evaluate factors independently associated with changes in liver function following viral eradication. …”
Publicado 2021
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87266por Väyrynen, Juha P, Haruki, Koichiro, Väyrynen, Sara A, Lau, Mai Chan, Dias Costa, Andressa, Borowsky, Jennifer, Zhao, Melissa, Ugai, Tomotaka, Kishikawa, Junko, Akimoto, Naohiko, Zhong, Rong, Shi, Shanshan, Chang, Tzuu-Wang, Fujiyoshi, Kenji, Arima, Kota, Twombly, Tyler S, Da Silva, Annacarolina, Song, Mingyang, Wu, Kana, Zhang, Xuehong, Chan, Andrew T, Nishihara, Reiko, Fuchs, Charles S, Meyerhardt, Jeffrey A, Giannakis, Marios, Ogino, Shuji, Nowak, Jonathan A“…Using covariate data of 4465 incident colorectal cancers in two prospective cohort studies, the inverse probability weighting method was used with multivariable-adjusted Cox proportional hazards models to assess cancer-specific mortality according to ordinal quartiles (Q1–Q4) of myeloid cell densities. …”
Publicado 2021
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87267“…Multivariable analyses employing a Cox proportional hazards model were used to examine time to failure overall and based upon the number of index classes of oral GLAs prescribed. …”
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87268por Chen, Runzhen, Liu, Chen, Zhou, Peng, Tan, Yu, Sheng, Zhaoxue, Li, Jiannan, Zhou, Jinying, Chen, Yi, Song, Li, Zhao, Hanjun, Yan, Hongbing“…The X-tile program was used to determine the optimal D-dimer thresholds for risk stratifications. Cox regression with multiple adjustments was used for outcome analysis. …”
Publicado 2021
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87269por Jalali-Farahani, Sara, Amiri, Parisa, Lashkari, Bita, Cheraghi, Leila, Hosseinpanah, Farhad, Azizi, Fereidoun“…The association between maternal obesity phenotypes and incidence of obesity in children was studied using Cox proportional regression hazard model. RESULTS: In male offspring, the risk of incidence of obesity significantly increased in those with maternal obesity phenotypes including overweight/normal metabolic: 1.75(95% CI: 1.10–2.79), obese/normal metabolic: 2.60(95%CI: 1.51–4.48), overweight/dysmetabolic: 2.34(95%CI: 1.35–4.03) and obese/dysmetabolic: 3.21(95%CI: 1.94–5.03) compared to the normal weight/normal metabolic phenotype. …”
Publicado 2021
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87270por Huang, Tang-Hsiu, Kuo, Chin-Wei, Chen, Chian-Wei, Tseng, Yau-Lin, Wu, Chao-Liang, Lin, Sheng-Hsiang“…METHODS: We analysed the demographic and clinical data, baseline plasma levels of Krebs von den Lungen-6 (KL-6) and surfactant protein A (SPA), and longitudinal clinical courses of a real-world cohort of IPF patients who received nintedanib ≥ 14 days between March 2017 and December 2020. Cox proportional-hazards regression, subdistribution hazards regression, and sensitivity analyses were performed to investigate the association between baseline predictors and AE-IPF, mortality, and nintedanib-related hepatic injury. …”
Publicado 2021
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87271por Nakamura, Satoshi, Ishida, Masaki, Nakata, Kei, Ichikawa, Yasutaka, Takase, Shinichi, Takafuji, Masafumi, Ito, Haruno, Nakamori, Shiro, Kurita, Tairo, Dohi, Kaoru, Sakuma, Hajime“…Annualized event rates for MACE in patients with no obstructive CAD, 1-vessel disease, 2-vessel disease, and left-main or 3-vessel disease were 0.6%, 1.5%, 2.3%, and 3.6%, respectively (log-rank, p = 0.003). Cox proportional hazard regression analysis showed that, among obstructive CAD on CMRA and clinical risk factors (age, sex, hypertension, diabetes, dyslipidemia, smoking, and family history of CAD), obstructive CAD and diabetes were significant predictors of MACE (hazard ratios, 2.9 [p = 0.005] and 2.2 [p = 0.034], respectively). …”
Publicado 2021
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87272por Nelson, Tyler J., Javier-DesLoges, Juan, Deka, Rishi, Courtney, P. Travis, Nalawade, Vinit, Mell, Loren, Murphy, James, Parsons, J. Kellogg, Rose, Brent S.“…Cumulative incidence functions and multivariable Cox proportional hazards regression models were used to test associations between PSAV and outcomes. …”
Publicado 2021
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87273por Nseir, Saad, Martin-Loeches, Ignacio, Povoa, Pedro, Metzelard, Matthieu, Du Cheyron, Damien, Lambiotte, Fabien, Tamion, Fabienne, Labruyere, Marie, Makris, Demosthenes, Boulle Geronimi, Claire, Pinetonde Chambrun, Marc, Nyunga, Martine, Pouly, Olivier, Mégarbane, Bruno, Saade, Anastasia, Gomà, Gemma, Magira, Eleni, Llitjos, Jean-François, Torres, Antoni, Ioannidou, Iliana, Pierre, Alexandre, Coelho, Luis, Reignier, Jean, Garot, Denis, Kreitmann, Louis, Baudel, Jean-Luc, Voiriot, Guillaume, Contou, Damien, Beurton, Alexandra, Asfar, Pierre, Boyer, Alexandre, Thille, Arnaud W., Mekontso-Dessap, Armand, Tsolaki, Vassiliki, Vinsonneau, Christophe, Floch, Pierre-Edouard, Le Guennec, Loïc, Ceccato, Adrian, Artigas, Antonio, Bouchereau, Mathilde, Labreuche, Julien, Duhamel, Alain, Rouzé, Anahita“…Univariable and multivariable marginal Cox’s regression models, with cause-specific hazard for duration of mechanical ventilation and ICU stay, were used to compare outcomes between study groups. …”
Publicado 2021
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87274por Armas Rojas, Nurys B, Lacey, Ben, Soni, Monica, Charles, Shaquille, Carter, Jennifer, Varona-Pérez, Patricia, Burrett, Julie Ann, Martínez, Marcy Calderón, Lorenzo-Vázquez, Elba, Constantén, Sonia Bess, Taylor, Hannah, Sherliker, Paul, Rigau, José Manuel Morales, Ross, Stephanie, Massa, M. Sofia, López, Osvaldo Jesús Hernández, Islam, Nazrul, Morales, Miguel Ángel Martínez, Alomá, Ismell Alonso, Estupiñan, Fernando Achiong, González, Mayda Díaz, Muñoz, Noel Rosquete, Asencio, Marelis Cendra, Díaz-Diaz, Oscar, Iglesias-Marichal, Ileydis, Emberson, Jonathan, Peto, Richard, Lewington, Sarah“…After excluding all with missing data, cardiovascular disease at recruitment, and those who died in the first 5 years, Cox regression (adjusted for age, sex, education, smoking, alcohol and, where appropriate, BMI) was used to relate cardiovascular mortality rate ratios (RRs) at ages 35–79 years to SBP, diabetes and BMI; RR were corrected for regression dilution to give associations with long-term average (ie, ‘usual’) levels of SBP and BMI. …”
Publicado 2021
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87275por Dalle, Stéphane, Mortier, Laurent, Corrie, Pippa, Lotem, Michal, Board, Ruth, Arance, Ana María, Meiss, Frank, Terheyden, Patrick, Gutzmer, Ralf, Buysse, Brian, Oh, Kelly, Brokaw, Jane, Le, T. Kim, Mathias, Susan D., Scotto, Julie, Lord-Bessen, Jennifer, Moshyk, Andriy, Kotapati, Srividya, Middleton, Mark R.“…Adjusted OS curves based on multivariate Cox regression models included covariate effects. …”
Publicado 2021
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87276por Bai, Xue, Dai, Jie, Li, Caili, Cui, Chuanliang, Mao, Lili, Wei, Xiaoting, Sheng, Xinan, Chi, Zhihong, Yan, Xieqiao, Tang, Bixia, Lian, Bin, Wang, Xuan, Zhou, Li, Li, Siming, Kong, Yan, Qi, Zhonghui, Xu, Huayan, Duan, Rong, Guo, Jun, Si, Lu“…Clinicodemographical characteristics, baseline and early-on-treatment (median 0.6 months after anti-PD-1 monotherapy initiation) routine laboratory variables, including complete blood count and general chemistry, and best response/survival data were extracted and analyzed in both univariate and multivariate logistic and Cox proportional hazard models. Results: After three rounds of screening, risk factors associated with a poorer PFS included a high pre-treatment neutrophil, derived neutrophil-lymphocyte ratio (dNLR), low pre-treatment hemoglobin, and low early-on-/pre-treatment fold change of eosinophil; those with a poorer OS included a high pre-treatment neutrophil, eosinophil, PLT, early-on/pre-treatment fold change of LDH and neutrophil; and those with a poorer best response included a high pre-treatment NLR and early-on-/pre-treatment LDH fold change. …”
Publicado 2021
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87277por Feng, Felix Y., Thomas, Shibu, Saad, Fred, Gormley, Michael, Yu, Margaret K., Ricci, Deborah S., Rooney, Brendan, Brookman-May, Sabine, McCarthy, Sharon, Olmos, David, Chowdhury, Simon, Hadaschik, Boris, Liu, Yang, Davicioni, Elai, Smith, Matthew R., Small, Eric J.“…MAIN OUTCOMES AND MEASURES: Patients were stratified into high-risk and low-risk categories for developing metastases based on genomic classifier (GC) scores for high (GC >0.6) and low to average (GC≤0.6) and into basal and luminal subtypes; associations between these molecular subtypes and metastasis-free survival (MFS), overall survival (OS), and progression-free survival 2 (PFS2) were evaluated using Cox proportional hazards regression and Kaplan-Meier analysis. …”
Publicado 2021
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87278por Humphries, Sophia Monica, Wallert, John, Norlund, Fredrika, Wallin, Emma, Burell, Gunilla, von Essen, Louise, Held, Claes, Olsson, Erik Martin Gustaf“…Multiple imputation was used to account for missing data, and a pooled treatment effect was estimated. Adjusted Cox proportional hazards models were used to estimate hazard ratios (HRs) for data pertaining to registry outcomes. …”
Publicado 2021
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87279por Dijkstra, Madelon, Nieuwenhuizen, Sanne, Puijk, Robbert S., Timmer, Florentine E.F., Geboers, Bart, Schouten, Evelien A.C., Opperman, Jip, Scheffer, Hester J., de Vries, Jan J.J., Swijnenburg, Rutger-Jan, Versteeg, Kathelijn S., Lissenberg-Witte, Birgit I., van den Tol, M. Petrousjka, Meijerink, Martijn R.“…Multivariable analyses based on Cox proportional hazards model were used to account for potential confounders. …”
Publicado 2021
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87280por Xiao, Lixing, Zou, Guoying, Cheng, Rui, Wang, Pingping, Ma, Kexin, Cao, Huimin, Zhou, Wenyang, Jin, Xiyun, Xu, Zhaochun, Huang, Yan, Lin, Xiaoyu, Nie, Huan, Jiang, Qinghua“…We identify stemness-associated alternative splicing events (SASEs) by analyzing different alternative splicing event between high- and low- stemness groups. Univariate Cox and multivariable logistic regression analysisw as carried out to detect the prognosis-related SASEs respectively. …”
Publicado 2021
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