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  1. 87321
  2. 87322
    “…After median 10 years’ follow-up, 2531 incident liver cancer, 2040 liver cirrhosis, 260 alcoholic liver disease (ALD), and 1262 non-alcoholic fatty liver disease (NAFLD) cases were recorded among 492,643 participants without prior cancer or chronic liver disease at baseline. Cox regression was used to estimate adjusted hazard ratios (HR) relating alcohol intake and drinking patterns to each disease. …”
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  3. 87323
    “…These data were used to assess vaccination hesitancy across ethnicity, gender, and socioeconomic deprivation measures (Pearson product-moment correlations); investigate COVID-19 transmission related to vaccination hubs; and assess the early effectiveness of COVID-19 vaccination (after a single dose) using time-to-event analyses with multivariable Cox regression analysis to investigate if vaccination independently predicted positive SARS-CoV-2 in those vaccinated compared to those unvaccinated. …”
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  4. 87324
    “…A positive linear association between HRV and PA was demonstrated and the β value of HRV was 0.842 (95% confidence interval [CI]: 0.261–1.425, P = 0.005) in the multiple linear regression analysis. Multivariable Cox proportional hazards analysis revealed that high levels of PA (≥11.0%) and HRV (≥75.9 ms) were independent protective factors against cardiac death (PA: hazard ratio [HR] = 0.273; 95% CI, 0.142–0.526, P < 0.001; HRV: HR = 0.224; 95% CI, 0.103–0.489, P < 0.001) and all-cause mortality (PA: HR = 0.299; 95% CI, 0.177–0.505, P < 0.001; HRV: HR = 0.394; 95% CI, 0.231–0.674, P = 0.001). …”
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  5. 87325
    “…After screening prognostic GRLs, a risk model based on five GRLs was constructed using Univariate and Cox regression. The identified risk model was validated by two validation sets. …”
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  6. 87326
    por El‐Battrawy, Ibrahim, Cammann, Victoria L., Kato, Ken, Szawan, Konrad A., Di Vece, Davide, Rossi, Aurelio, Wischnewsky, Manfred, Hermes‐Laufer, Julia, Gili, Sebastiano, Citro, Rodolfo, Bossone, Eduardo, Neuhaus, Michael, Franke, Jennifer, Meder, Benjamin, Jaguszewski, Milosz, Noutsias, Michel, Knorr, Maike, Heiner, Susanne, D’Ascenzo, Fabrizio, Dichtl, Wolfgang, Burgdorf, Christof, Kherad, Behrouz, Tschöpe, Carsten, Sarcon, Annahita, Shinbane, Jerold, Rajan, Lawrence, Michels, Guido, Pfister, Roman, Cuneo, Alessandro, Jacobshagen, Claudius, Karakas, Mahir, Koenig, Wolfgang, Pott, Alexander, Meyer, Philippe, David Arroja, Jose, Banning, Adrian, Cuculi, Florim, Kobza, Richard, Fischer, Thomas A., Vasankari, Tuija, Airaksinen, K. E. Juhani, Napp, L. Christian, Budnik, Monika, Dworakowski, Rafal, MacCarthy, Philip, Kaiser, Christoph, Osswald, Stefan, Galiuto, Leonarda, Chan, Christina, Bridgman, Paul, Beug, Daniel, Delmas, Clément, Lairez, Olivier, Gilyarova, Ekaterina, Shilova, Alexandra, Gilyarov, Mikhail, Kozel, Martin, Tousek, Petr, Winchester, David E., Galuszka, Jan, Ukena, Christian, Poglajen, Gregor, Carrilho‐Ferreira, Pedro, Hauck, Christian, Paolini, Carla, Bilato, Claudio, Kobayashi, Yoshio, Prasad, Abhiram, Rihal, Charanjit S., Liu, Kan, Schulze, P. Christian, Bianco, Matteo, Jörg, Lucas, Rickli, Hans, Pestana, Gonçalo, Nguyen, Thanh H., Böhm, Michael, Maier, Lars S., Pinto, Fausto J., Widimský, Petr, Felix, Stephan B., Opolski, Grzegorz, Braun‐Dullaeus, Ruediger C., Rottbauer, Wolfgang, Hasenfuß, Gerd, Pieske, Burkert M., Schunkert, Heribert, Thiele, Holger, Bauersachs, Johann, Katus, Hugo A., Horowitz, John D., Di Mario, Carlo, Münzel, Thomas, Crea, Filippo, Bax, Jeroen J., Lüscher, Thomas F., Ruschitzka, Frank, Duru, Firat, Borggrefe, Martin, Ghadri, Jelena R., Akin, Ibrahim, Templin, Christian
    Publicado 2021
    “…Both in‐hospital (P<0.001) and long‐term mortality (P<0.001) were higher in the AF group. Multivariable Cox regression analysis revealed that AF was independently associated with higher long‐term mortality (hazard ratio, 2.31; 95% CI, 1.50–3.55; P<0.001). …”
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  7. 87327
    “…Outcome was the diagnosis of early-onset CVD from birth to young adulthood (up to 40 years old). We performed Cox proportional hazards regression to evaluate the associations and whether the association differed by maternal history of CVD or diabetes before childbirth. …”
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  8. 87328
    “…The cognitive test was performed by use of the MMSE at baseline, and covariates were recorded simultaneously. Cox regression models were used for examining the cognitive function, expressed by different MMSE transformations, and all-cause mortality. …”
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  9. 87329
  10. 87330
    “…To examine the risk factors for the outcomes, we employed Cox proportional hazards regression models and logistic regression models to adjust for demographic, socio-economic variables and comorbidities. …”
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  11. 87331
    Publicado 2021
    “…The primary outcome was the non-operation rate (defined as the proportion of patients who did not undergo planned surgery). Cox proportional-hazards regression models were used to explore the associations between lockdowns and non-operation. …”
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  12. 87332
    “…Univariable and multivariable Cox proportional hazards regression analyses were used to determine the association between AIP and primary (major adverse cardiovascular events [MACEs], including nonfatal myocardial infarction, nonfatal stroke, and/or death from cardiovascular causes) and secondary outcomes (all-cause mortality). …”
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  13. 87333
    “…The outcome was death involving COVID-19, occurring between Jan 24, 2020, and Feb 28, 2021. We used Cox proportional hazards regression to calculate hazard ratios (HRs) for the association between disability and death involving COVID-19, sequentially adjusting for age, residence type (private household, care home, or other communal establishment), geographical characteristics (local authority district and population density), sociodemographic characteristics (ethnicity, highest qualification, Index of Multiple Deprivation decile, household characteristics [National Statistics Socio-economic Classification of the household reference person, tenure of household, household size, family status, household composition, and key worker in household], key worker type, individual and household exposure to disease, and individual and household proximity to others), and health status (pre-existing health conditions, body-mass index, and number of admissions to hospital and days spent in hospital over the previous 3 years). …”
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  14. 87334
    “…We analysed additional secondary endpoints for cardiovascular and kidney outcomes, including a combined kidney outcome of sustained 40% decline in eGFR, end-stage kidney disease or death due to kidney disease. We used Cox regression analyses and compared the constancy of HRs across subgroups by fitting an interaction term (p value for significance <0.05). …”
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  15. 87335
    por Gupta, Shruti, Short, Samuel A P, Sise, Meghan E, Prosek, Jason M, Madhavan, Sethu M, Soler, Maria Jose, Ostermann, Marlies, Herrmann, Sandra M, Abudayyeh, Ala, Anand, Shuchi, Glezerman, Ilya, Motwani, Shveta S, Murakami, Naoka, Wanchoo, Rimda, Ortiz-Melo, David I, Rashidi, Arash, Sprangers, Ben, Aggarwal, Vikram, Malik, A Bilal, Loew, Sebastian, Carlos, Christopher A, Chang, Wei-Ting, Beckerman, Pazit, Mithani, Zain, Shah, Chintan V, Renaghan, Amanda D, Seigneux, Sophie De, Campedel, Luca, Kitchlu, Abhijat, Shin, Daniel Sanghoon, Rangarajan, Sunil, Deshpande, Priya, Coppock, Gaia, Eijgelsheim, Mark, Seethapathy, Harish, Lee, Meghan D, Strohbehn, Ian A, Owen, Dwight H., Husain, Marium, Garcia-Carro, Clara, Bermejo, Sheila, Lumlertgul, Nuttha, Seylanova, Nina, Flanders, Lucy, Isik, Busra, Mamlouk, Omar, Lin, Jamie S, Garcia, Pablo, Kaghazchi, Aydin, Khanin, Yuriy, Kansal, Sheru K, Wauters, Els, Chandra, Sunandana, Schmidt-Ott, Kai M, Hsu, Raymond K, Tio, Maria C, Sarvode Mothi, Suraj, Singh, Harkarandeep, Schrag, Deborah, Jhaveri, Kenar D, Reynolds, Kerry L, Cortazar, Frank B, Leaf, David E
    Publicado 2021
    “…Multivariable logistic regression was used to identify predictors of ICPi-AKI and its recovery. A multivariable Cox model was used to estimate the effect of ICPi rechallenge versus no rechallenge on survival following ICPi-AKI. …”
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  16. 87336
    “…Multivariable logistic regression for kidney rejection and Cox analyses with nonlinear assessment of exposure-response for death-censored graft failure and all-cause death were performed. …”
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  17. 87337
    “…Factors associated with SARS-CoV-2 diagnoses and severe outcomes were assessed using univariable and multivariable Cox regression models. We estimated the effect of immunosuppression on severe outcomes (hospital admission for >24 h with dyspnoea, tachypnoea, hypoxaemia, asphyxia, or hyperventilation; or death) using Kaplan-Meier survival analysis. …”
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  18. 87338
  19. 87339
    “…KLS ≥ 2 in ≥ 1 DIP joint indicated incident or existing OA, and increase of ≥ 1 in KLS in ≥ 1 DIP joint indicated progression in existing DIP OA. Time-varying Cox regression and generalized estimating equation (GEE) analyses were performed. …”
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  20. 87340
    “…Further analysis revealed that patients with diabetes who took acarbose had a lower mortality rate (2.2% vs 26.1, P < 0.01). Multivariable Cox regression showed that male sex [hazard ratio (HR) 2.59 (1.68 - 3.99), P < 0.001], hypertension [HR 1.75 (1.18 - 2.60), P = 0.006), CKD [HR 4.55 (2.52-8.20), P < 0.001], CVD [HR 2.35 (1.27 - 4.33), P = 0.006], and age were risk factors for the COVID-19 mortality. …”
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