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  1. 87421
    “…Frailty phenotype was based on number of the following conditions: unintentional weight loss, exhaustion, slowness, low activity, and weakness (≥ 3 conditions as frail, 1 or 2 as pre-frail, and 0 as robust). Cox proportional hazard models estimated the risk of developing frailty, or improving or worsening frailty status at follow-up. …”
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  2. 87422
    “…Tumor progression and survival data were collected and analyzed through Kaplan–Meier estimates and Cox regression. We then utilized selected variables found to be significant on Kaplan–Meier analysis to generate a decision-tree prognostic model, the NNI-NCCS score. …”
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  3. 87423
    “…MAIN OUTCOMES AND MEASURES: All-cause, cardiovascular disease (CVD), cancer, and non-CVD and noncancer deaths were ascertained through 2013 via linkage to death certificates and the US National Death Index. Multivariable Cox proportional hazards regression analyses were conducted. …”
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  4. 87424
    “…METHODS: This cohort study included 12,467 participants from the Swedish Twin Registry, with height, weight, and MHS measures from 1958—2008 and mortality data linked through 2020. We applied Cox proportional hazard regression with age as a timescale to examine how BMI categories (normal weight, overweight, obesity) and MHS (identification of MetS determined by presence/absence of hypertension, hyperglycemia, low HDL, hypertriglyceridemia), independently and in interaction, are associated with the risk of all-cause mortality. …”
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  5. 87425
    “…METHODS: We included ART-naïve adults from the Cohort of the Spanish HIV/AIDS Research Network (CoRIS) enrolled between January 2004 up to November 2018 and with at least 6 months of follow-up. We used extended Cox proportional hazard models to estimate the hazard ratios (HRs) for the association between CD4/CD8 ratio over time and a composite endpoint of the occurrence of the first AIDS event, first serious non-AIDS event or overall mortality occurring from 6 months after enrolment. …”
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  6. 87426
    “…The association between SI and septic shock was evaluated by logistic regression, and that between SI and mortality by Cox regression analysis. RESULTS: In total, 769 older adults (≥ 60 years) with CAP were included, of which 480(62.4%) were male and 289(37.6%)were female. …”
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  7. 87427
    “…Logistic regression was used to analyze the odds ratio (OR), and 95% confidence interval (CI) for the cross-sectional associations of frailty and its components with depressive symptoms in the participants at baseline. Cox proportional hazards analysis was conducted using the hazard ratio (HR), and 95% confidence interval (CI) for the prospective associations of baseline frailty and pre-frailty and its component in the participants without depressive symptoms at baseline. …”
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  8. 87428
    “…Receiver operating characteristic curve (ROC) analysis showed that an ADP% < 76% was the optimal cut-off value for predicting 1-year primary ischemic events, with an area under the curve (AUC) of 0.80 (95% CI: 0.72–0.86, p < 0.001) in the derivation group and 0.77 (95% CI: 0.69–0.85, p < 0.001) in the validation group. The multivariate Cox regression hazard analysis consistently identified an ADP% < 76% as an independent predictor of primary ischemic events in the derivation group (HR: 8.21, 95% CI: 4.82–13.99, p < 0.001) and in the validation group (HR: 6.34 95% CI: 3.32–12.11, p < 0.001). …”
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  9. 87429
  10. 87430
    “…Among a subset of 50,519 participants with data available on all relevant co-variates (sociodemographic characteristics, parental history of diabetes, lifestyle—including dietary—factors, anthropometric measures and fasting time), Cox regression yielded adjusted hazard ratios for the associations of 143 individual metabolic biomarkers (including lipids, lipoproteins, fatty acids, amino acids, ketone bodies and other low molecular weight metabolic biomarkers) and 11 metabolic biomarker principal components (PCs) (accounting for 90% of the total variance in individual biomarkers) with incident T2D. …”
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  11. 87431
    “…Then, we performed the Cox risk proportional analysis and cross-validation on the training set to construct a LUAD risk scoring model. …”
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  12. 87432
  13. 87433
    “…The Kaplan–Meier curve analysis demonstrated a significantly lower survival rate, as well as a higher rate of heart failure events, in the high‐P3P and high‐PVS groups when compared with the other groups. A multivariate Cox regression model identified high P3P level and high PVS as an independent predictor of 365 day all‐cause mortality (hazard ratio [HR]: 2.249; 95% CI: 1.081–3.356; P = 0.026) and heart failure events (HR: 1.586, 95% CI: 1.005–2.503, P = 0.048). …”
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  14. 87434
    “…Data were collected from entry and biennial questionnaires, and analysis conducted from November 2020 to June 2021. Cox proportional hazard models were used to assess risk of CVD, hypertension (HTN), hypercholesterolemia (HC) and type 2 diabetes, both with and without genotyping for rs2016347. …”
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  15. 87435
    por de Almeida, Liz Maria, Cortés, Sandra, Vilensky, Marta, Valenzuela, Olivia, Cortes-Sanabria, Laura, de Souza, Mirian, Barbeito, Rafael Alonso, Abdelhay, Eliana, Artagaveytia, Nora, Daneri-Navarro, Adrian, Llera, Andrea S., Müller, Bettina, Podhajcer, Osvaldo L., Velazquez, Carlos, Alcoba, Elsa, Alonso, Isabel, Bravo, Alicia I., Camejo, Natalia, Carraro, Dirce Maria, Castro, Mónica, Cataldi, Sandra, Cayota, Alfonso, Cerda, Mauricio, Colombo, Alicia, Crocamo, Susanne, Del Toro-Arreola, Alicia, Delgadillo-Cristerna, Raul, Delgado, Lucia, Breitenbach, Marisa Dreyer, Fernández, Elmer, Fernández, Jorge, Fernández, Wanda, Franco-Topete, Ramon A., Gaete, Fancy, Gómez, Jorge, Gonzalez-Ramirez, Leivy P., Guerrero, Marisol, Gutierrez-Rubio, Susan A., Jalfin, Beatriz, Lopez-Vazquez, Alejandra, Loria, Dora, Míguez, Silvia, Moran-Mendoza, Andres de J., Morgan-Villela, Gilberto, Mussetti, Carina, Nagai, Maria Aparecida, Oceguera-Villanueva, Antonio, Reis, Rui M., Retamales, Javier, Rodriguez, Robinson, Rosales, Cristina, Salas-Gonzalez, Efrain, Segovia, Laura, Sendoya, Juan M., Silva-Garcia, Aida A., Viña, Stella, Zagame, Livia, Jones, Beth, Szklo, Moysés
    Publicado 2022
    “…Multivariable adjustment was carried out by entering potential confounders in the Cox regression model. The OS at 60 months was 83.9%. …”
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  16. 87436
    “…During a mean follow-up of 10.8 (SD 2.0) years, 29,277 incident cancer cases were recorded among the 510,146 participants who were free of cancer at baseline. Cox regression analyses for incident cancers associated with usual dairy intake were stratified by age-at-risk, sex and region and adjusted for cancer family history, education, income, alcohol intake, smoking, physical activity, soy and fresh fruit intake, and body mass index. …”
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  17. 87437
  18. 87438
    “…RESULTS: With a median follow-up of 52.0 months, the 5-year overall survival (OS), progression-free survival (PFS), locoregional recurrence–free survival (LRRFS), and distant metastases–free survival (DMFS) were analyzed. In a Cox proportional hazards regression model, pretreatment SCC Ag > 10 ng/mL was a significant prognostic factor for PFS (hazard ratio [HR] 2.20; 95% confidence interval [CI] 1.03–4.70; P = 0.041), LRRFS (HR, 3.48; 95% CI 1.07–11.26; P = 0.038), and DMFS (HR 2.80; 95% CI 1.02–7.67; P = 0.045). …”
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  19. 87439
    “…METHODS: Based on The Cancer Genome Atlas (TCGA)-LUAD cohort, IRLPs were identified to construct an IRLPs scoring system by Cox regression and validated in the Gene Expression Omnibus (GEO) dataset using log-rank test and the receiver operating characteristic curve (ROC). …”
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  20. 87440
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