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86941por Costello, Ruth E., Tazare, John, Piehlmaier, Dominik, Herrett, Emily, Parker, Edward P.K., Zheng, Bang, Mansfield, Kathryn E., Henderson, Alasdair D., Carreira, Helena, Bidulka, Patrick, Wong, Angel Y.S., Warren-Gash, Charlotte, Hayes, Joseph F., Quint, Jennifer K., MacKenna, Brian, Mehrkar, Amir, Eggo, Rosalind M., Katikireddi, Srinivasa Vittal, Tomlinson, Laurie, Langan, Sinéad M., Mathur, Rohini“…We used interrupted time-series regression to estimate ethnic differences in clinical monitoring frequency (blood pressure and Hba1c measurements, chronic obstructive pulmonary disease and asthma annual reviews) before and after March 23, 2020. We used multivariable Cox regression to quantify ethnic differences in hospitalisations related to diabetes, cardiovascular disease, respiratory disease, and mental health before and after March 23, 2020. …”
Publicado 2023
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86942por Zaman, Sameer, Padayachee, Yorissa, Shah, Moulesh, Samways, Jack, Auton, Alice, Quaife, Nicholas M, Sweeney, Mark, Howard, James P, Tenorio, Indira, Bachtiger, Patrik, Kamalati, Tahereh, Pabari, Punam A, Linton, Nick W F, Mayet, Jamil, Peters, Nicholas S, Barton, Carys, Cole, Graham D, Plymen, Carla M“…Secondary health care use and costs were analyzed using Kaplan-Meier event analysis and Cox proportional hazards modeling. RESULTS: A total of 146 patients (mean age 63 years; 42/146, 29% female) were included (73 in each group). …”
Publicado 2023
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86943por Kawachi, Hayato, Yamada, Tadaaki, Tamiya, Motohiro, Negi, Yoshiki, Goto, Yasuhiro, Nakao, Akira, Shiotsu, Shinsuke, Tanimura, Keiko, Takeda, Takayuki, Okada, Asuka, Harada, Taishi, Date, Koji, Chihara, Yusuke, Hasegawa, Isao, Tamiya, Nobuyo, Ishida, Masaki, Katayama, Yuki, Morimoto, Kenji, Iwasaku, Masahiro, Tokuda, Shinsaku, Kijima, Takashi, Takayama, Koichi“…MAIN OUTCOMES AND MEASURES: The primary analysis was the association of treatment outcomes with baseline patient characteristics, including concomitant drug history, after propensity score matching. Cox proportional hazard models were used to determine the associations of patient characteristics with survival outcomes. …”
Publicado 2023
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86944por Andrieux, Geoffroy, Das, Tonmoy, Griffin, Michaela, Straehle, Jakob, Paine, Simon M. L., Beck, Jürgen, Boerries, Melanie, Heiland, Dieter H., Smith, Stuart J., Rahman, Ruman, Chakraborty, Sajib“…Lastly, we performed survival analysis using Cox Proportinal-Hazards model on large GBM cohorts. …”
Publicado 2023
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86945por Akinloye, Dorcas I., Metibemu, Damilohun S., Shittu, Mujidat T., Lawal, Mariam A., Olatunji, Faith O., Oyediran, Muideen A., Akinloye, Oluseyi A.“…In comparison to group 2, COX-2 mRNA levels were downregulated by 1.5, 1, and 1-folds in groups 3–5. …”
Publicado 2023
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86946por Zuo, Pengcheng, Li, Tian, Sun, Tao, Wu, Wenhao, Wang, Yujin, Zhang, Mingxin, Wu, Zhen, Zhang, Junting, Zhang, Liwei“…After a median follow-up of 31.4 ± 35.3 months (range: 0.75-144 months), the mortality and recurrence rates were 32.5% (13/40) and 70% (28/40), respectively. Multivariate Cox regression model demonstrated that non-GTR (HR 0.380, 95% CI 0.174-0.831, p=0.015), age≥30 (HR 2.620, 95% CI 1.183-5.804, p=0.018), no RT (HR 0.334,95% CI 0.150-0.744, p=0.007) and no CT (HR 0.422, 95% CI 0.184-0.967, p=0.042) were negative prognostic factors for PFS. …”
Publicado 2023
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86947por Kennedy , J, Parker, M, Seaborne, M, Mhereeg , M, Walker , A, Walker, V, Denaxas, S, Kennedy, N, Katikireddi, S. V, Brophy, S“…Increased instantaneous risk for positive individuals was quantified using hazard ratios (HR) from Cox regression, while absolute risk (AR) and relative risk were quantified using life table analysis. …”
Publicado 2023
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86948por Muñoz-Montaño, Wendy R., López-Basave, Horacio N., Castillo-Morales, Alison, Castillo-Morales, Carolina, Sánchez-Trejo, Karen, Catalán, Rodrigo, Díaz-Romero, Consuelo, Lino-Silva, Leonardo S., Maliachi-Díaz, Andrea, Ruiz-García, Erika, Herrera-Martínez, Marytere, Calderillo-Ruíz, German“…To identify whether change in CEA levels operative and post-surgery was an independent prognostic factor for survival outcomes, a Cox proportional hazard model was applied. In multivariate analysis, change in CEA level was a statistically significant, independent prognostic factor for overall survival (p-value = 0.031). …”
Publicado 2023
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86949por Kristensen, Frederik Pagh Bredahl, Christensen, Diana Hedevang, Mortensen, Martin Bødtker, Maeng, Michael, Kahlert, Johnny, Sørensen, Henrik Toft, Thomsen, Reimar Wernich“…Patients were followed from one year after T2DM diagnosis until 30 April 2021, MACE, emigration, or death. We used Cox regression to compute hazard ratios (HRs) controlling for confounding factors. …”
Publicado 2023
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86950por Beles, Monika, Masuy, Imke, Verstreken, Sofie, Bartunek, Jozef, Dierckx, Riet, Heggermont, Ward, Oeste, Clara, De Boeck, Marieke, Fovel, Isabelle, Maris, Michael, Vermeulen, Zarha, Vanderheyden, Marc“…The predictive role of patients' baseline characteristics for outcomes of interest was assessed using univariate and multivariate Cox proportional hazard models. Kaplan–Meier analysis was used to determine if type 2 diabetes (T2D) and chronic kidney disease (CKD) impacted mortality and HF readmission rates. …”
Publicado 2023
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86951por Ismail, Zahinoor, Leon, Rebeca, Creese, Byron, Ballard, Clive, Robert, Philippe, Smith, Eric E.“…Cohorts were analyzed separately for: 1) cross-sectional associations between NPS status and ATN biomarkers (linear regressions); 2) 4-year longitudinal repeated-measures associations of MBI and NPSnotMBI with ATN biomarkers (hierarchical linear mixed-effects models-LMEs); and 3) rates of incident dementia (Cox proportional hazards regressions). RESULTS: Of 510 MCI participants, 352 were from ADNI (43.5% females; mean [SD] age, 71.68 [7.40] years), and 158 from MEMENTO (46.2% females; 68.98 [8.18] years). …”
Publicado 2023
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86952por Angriman, Federico, Lawler, Patrick R., Shah, Baiju R., Martin, Claudio M., Scales, Damon C.“…We used propensity score matching (i.e., 1:1 to patients with sepsis but no pre-existing diabetes) to adjust for measured confounding at baseline. Cause-specific Cox proportional hazards models with robust standard errors were used to estimate hazard ratios (HR) alongside 95% confidence intervals (CI). …”
Publicado 2023
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86953“…Compared with the TP53mut subtype, the POLE EDM, MSI-H and TP53 wild-type subtypes were defined as non-TP53mut subtypes. Univariate Cox regression analysis and multivariate logistic analysis were performed to determine the preoperative clinical parameters associated with the TP53mut subtype. …”
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86954por Miller, Rachel G., Mychaleckyj, Josyf C., Onengut-Gumuscu, Suna, Feingold, Eleanor, Orchard, Trevor J., Costacou, Tina“…RESULTS: CVD (first instance of CVD death, myocardial infarction, coronary revascularization, ischemic ECG, angina, or stroke) developed in 172 participants (46.7%) over 28 years. Overall, in Cox regression models for time to CVD, none of the 683,597 CpGs examined reached significance at a false discovery rate (FDR) ≤ 0.05. …”
Publicado 2023
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86955Does Hepatitis C Treatment Adherence Affect Risk of Liver Transplantation? A Historical Cohort Studypor Ems, Derek, Racsa, Patrick, Anderson, Chris, Gregory, Fran, Worley, Karen, Brill, Joel V., Holt, Worthe“…Date of liver transplant was defined as the index date for untreated liver transplant patients; otherwise, the index date was defined as either the date of first observed HCV treatment or diagnosis date (if no treatment or liver transplant). Cox proportional hazards models were used to estimate the relative risk of liver transplant by level of treatment adherence (> 80%, 50%-79%, and < 50%) based on proportion of days covered. …”
Publicado 2016
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86956por Vogelzang, Nicholas J., Pal, Sumanta K., Ghate, Sameer R., Li, Nanxin, Swallow, Elyse, Peeples, Miranda, Zichlin, Miriam L., Meiselbach, Mark K., Perez, Jose Ricardo, Agarwal, Neeraj“…Matched cohorts’ TOT was compared using Kaplan-Meier analyses and univariable Cox models, and compliance, HRU, and costs were compared using Wilcoxon signed-rank tests. …”
Publicado 2018
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86957por Gupta, Kiran, Trocio, Jeffrey, Keshishian, Allison, Zhang, Qisu, Dina, Oluwaseyi, Mardekian, Jack, Rosenblatt, Lisa, Liu, Xianchen, Hede, Shalini, Nadkarni, Anagha, Shank, Tom“…Patients initiating another OAC were matched 1:1 to apixaban patients using propensity score matching to balance demographics and clinical characteristics. Cox proportional hazards models were used to estimate the risk of stroke/SE and major bleeding for each OAC versus apixaban. …”
Publicado 2018
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86958por Huang, Wenzhong, Zhou, Yang, Chen, Xi, Zeng, Xiaowen, Knibbs, Luke D., Zhang, Yunting, Jalaludin, Bin, Dharmage, Shyamali C., Morawska, Lidia, Guo, Yuming, Yang, Xueli, Zhang, Liwen, Shan, Anqi, Chen, Jie, Wang, Tong, Heinrich, Joachim, Gao, Meng, Lin, Lizi, Xiao, Xiang, Zhou, Peien, Yu, Yunjiang, Tang, Naijun, Dong, Guanghui“…Annual particulate matter (PM) with diameters ≤2.5 μm (PM(2.5)), ≤10 μm (PM(10)), sulfur dioxide (SO(2)) and nitrogen dioxide (NO(2)) were estimated using daily average values from satellite-derived machine learning models and monitoring stations. Time-varying Cox proportional hazards model was used to evaluate the individual association between air pollutants and mortality from non-accidental causes, cardiovascular diseases (CVDs), non-malignant respiratory diseases (RDs) and lung cancer, accounting for demographic and socioeconomic factors. …”
Publicado 2023
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86959por Amin, Alpesh, Keshishian, Allison, Trocio, Jeffrey, Dina, Oluwaseyi, Le, Hannah, Rosenblatt, Lisa, Liu, Xianchen, Mardekian, Jack, Zhang, Qisu, Baser, Onur, Nadkarni, Anagha, Vo, Lien“…Patients initiating each OAC were matched 1:1 to apixaban patients using propensity score matching to balance demographic and clinical characteristics. Cox proportional hazards models were used to estimate the risk of hospitalization of each OAC versus apixaban. …”
Publicado 2020
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86960por Anker, Markus S., Lena, Alessia, Roeland, Eric J., Porthun, Jan, Schmitz, Sebastian, Hadzibegovic, Sara, Sikorski, Philipp, Wilkenshoff, Ursula, Fröhlich, Ann‐Kathrin, Ramer, Luisa Valentina, Rose, Matthias, Eucker, Jan, Rassaf, Tienush, Totzeck, Matthias, Lehmann, Lorenz H., von Haehling, Stephan, Coats, Andrew J.S., Friede, Tim, Butler, Javed, Anker, Stefan D., Riess, Hanno, Landmesser, Ulf, Bullinger, Lars, Keller, Ulrich, Ahn, Johann“…During the 27 months of observation, 152 (90%) patients died (median survival 46 days). In multivariable Cox proportional hazards regression analyses, all tested parameters were independent predictors of survival: walking 4 m ‘today’ (HR 0.63, P = 0.015), ‘last week’ (per 1 day: HR 0.93, P = 0.011), ‘last month’ (per 1 day: HR 0.98, P = 0.012), 4 m gait speed (per 1 m/s: HR 0.45, P = 0.002), and washing ‘today’ (HR 0.67, P = 0.024), ‘last week (per 1 day HR 0.94, p=0.019), and ‘last month’ (per 1 day HR 0.99, P = 0.040). …”
Publicado 2023
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