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  1. 86301
    “…Opposite effects were obtained by SIRT6 silencing, which also blunted the expression of genes encoding for respiratory chain proteins, such as UQCRFS1, COX5B, NDUFB8, and UQCRC2, and increased AMPK activation in BC cells. …”
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    SIRT6 enhances oxidative phosphorylation in breast cancer and promotes mammary tumorigenesis in mice
  2. 86302
    “…Log-rank tests and multivariable Cox regression models were used to assess differences in clinical progression-free (cPFS) and overall survival (OS). …”
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    Biologic subtypes of melanoma predict survival benefit of combination anti-PD1+anti-CTLA4 immune checkpoint inhibitors versus anti-PD1 monotherapy
  3. 86303
    “…This information was linked to population-register data from December, 2019, including socioeconomic, demographic, and residential characteristics. We ran Cox proportional hazards regressions for the risk of dying from COVID-19 and from all other causes. …”
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    Residential context and COVID-19 mortality among adults aged 70 years and older in Stockholm: a population-based, observational study using individual-level data
  4. 86304
    “…Association of 8 prespecified clinical predictors with LTVA (SCD, aborted SCD, sustained, or implantable cardioverter-defibrillator treated ventricular tachycardia >250 beats per minute) in follow-up was assessed by Cox regression with backward selection. Candidate variables included age, sex, prior sustained VA (≥30s, hemodynamically unstable, or implantable cardioverter-defibrillator treated ventricular tachycardia; or aborted SCD), syncope, 24-hour premature ventricular complexes count, the number of anterior and inferior leads with T-wave inversion, left and right ventricular ejection fraction. …”
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    Sudden Cardiac Death Prediction in Arrhythmogenic Right Ventricular Cardiomyopathy: A Multinational Collaboration
  5. 86305
    “…METHODS AND RESULTS: This is a retrospective cohort study of patients with AHF who were hospitalized in the coronary care unit of a Latin American teaching hospital from January 2006 to December 2018. Cox regression analysis was used to identify predictors of mortality. …”
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    Clinical phenotypes, aetiologies, management, and mortality in acute heart failure: a single‐institution study in Latin‐America
  6. 86306
    “…MAIN OUTCOMES AND MEASURES: All-cause mortality, heart failure hospitalization, and complications were ascertained from Medicare claims data. Multivariable Cox proportional hazards models and Fine-Gray models were used to evaluate 1-year mortality and heart failure hospitalization, respectively. …”
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    Use and Outcomes of Dual Chamber or Cardiac Resynchronization Therapy Defibrillators Among Older Patients Requiring Ventricular Pacing in the National Cardiovascular Data Registry Implantable Cardioverter Defibrillator Registry
  7. 86307
    “…Associations between prediagnostic anthropometric factors and risk of premenopausal and postmenopausal BC overall and ER/PR status subtypes were investigated in a pooled analysis of 20 prospective cohorts, including 36,297 BC cases among 1,061,915 women, using multivariable Cox regression analyses, controlling for reproductive factors, diet and other risk factors. …”
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    Body size and weight change over adulthood and risk of breast cancer by menopausal and hormone receptor status: a pooled analysis of 20 prospective cohort studies
  8. 86308
    “…The inverse probability of treatment weighting (IPTW) was adjusted in a Cox regression analysis to eliminate confounding factors. …”
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    Impact of Implementing CYP2C19 Genotype-Guided Antiplatelet Therapy on P2Y(12) Inhibitor Selection and Clinical Outcomes in Acute Coronary Syndrome Patients After Percutaneous Coronary Intervention: A Real-World Study in China
  9. 86309
    “…Breast Cancer-Specific Survival (BCSS) was estimated by plotting the Kaplan-Meier curve and compared across groups by using the log-rank test. Cox model was constructed to determine the association between IBC and BCSS after adjusting for age, race, stage of disease, tumor grade and surgery type. …”
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    Comparison of survival in non-metastatic inflammatory and other T4 breast cancers: a SEER population-based analysis
  10. 86310
    “…In addition, the dendritic spine density from apical and basal branches was studied by Golgi-Cox stain. Further, synaptic markers, such as synaptophysin, PSD95, Shank, Homer, Drebrin, Kalirin-7, CREB, and phosphorylated CREB (pCREB) were studied using Western blots. …”
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    Preservation of dendritic spine morphology and postsynaptic signaling markers after treatment with solid lipid curcumin particles in the 5xFAD mouse model of Alzheimer’s amyloidosis
  11. 86311
    “…Data analysis used Kaplan-Meier curves to explore mortality differences between the groups and a time-dependant Cox proportional hazards model to determine mortality risk factors. …”
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    Characteristics and mortality rates among patients requiring intermediate care: a national cohort study using linked databases
  12. 86312
    “…The prognostic impact of diabetes and glycemic control were determined with Cox proportional hazard models, and illustrated by adjusted Kaplan Meier curves. …”
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    Diabetic phenotype and prognosis of patients with heart failure and preserved ejection fraction in a real life cohort
  13. 86313
    “…Data were analysed with mixed-effects, Cox proportional hazards and logistic regression models using non-users of immunosuppressants as the reference group. …”
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    Routine use of immunosuppressants is associated with mortality in hospitalised patients with COVID-19
  14. 86314
    “…Self-reported age at menopause was recorded. Multivariate Cox regression models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) of death and CVD after adjusting for baseline covariates of age, family history of CVD, and white blood cell count, as well as time-varying covariates of menopause, use of oral estrogen, and conventional risk factors. …”
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    Combined effect of menopause and cardiovascular risk factors on death and cardiovascular disease: a cohort study
  15. 86315
    “…There were 28 cardiovascular events over 1764 person-years of follow-up. In separate Cox models, necrotic core plaque (HR 2.59, 95% CI 1.15 to 5.85) but not plaque defined by maximum wall thickness or presence of a plaque component (HR 1.79, 95% CI 0.73 to 4.43) was associated with cardiovascular events. …”
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    Chronic kidney disease, atherosclerotic plaque characteristics on carotid magnetic resonance imaging, and cardiovascular outcomes
  16. 86316
    “…Hazard ratios (HRs), with corresponding 95% confidence intervals (95% CI), comparing the effect of online HDF versus HD on the likelihood of receiving a kidney transplant, were estimated using Cox proportional hazards models with a random effect for study. …”
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    The probability of receiving a kidney transplantation in end-stage kidney disease patients who are treated with haemodiafiltration or haemodialysis: a pooled individual participant data from four randomised controlled trials
  17. 86317
    “…Weighted interval-censoring Cox proportional hazard models were used to estimate differences in the age of initiation by sex and by race/ethnicity. …”
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    Age at Initiation of Cigarette Use in a Nationally Representative Sample of US Youth, 2013-2017
  18. 86318
    “…The primary endpoint was evaluation of overall survival using Kaplan-Meier analysis and the Cox regression model. Plasma samples from healthy volunteers were also evaluated. (3) Results: Interestingly, sPD-1 and sPD-L1 levels were lower in cancer patients than in controls. sPD-1 and sPD-L1 levels and their counterpart tissue expression both at the tumor center and infiltrating front were not associated. …”
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    Soluble PD-L1 Is an Independent Prognostic Factor in Clear Cell Renal Cell Carcinoma
  19. 86319
    “…We estimated the risk of all-cause mortality using a multivariable adjusted Cox analysis, with a normal sodium level of 135.0–137.9 mmol/L as a reference. …”
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    Serum Sodium Levels Predict Mortality in Elderly Acute Kidney Injury Patients: A Retrospective Observational Study
  20. 86320
    “…The mortality rate was higher in BMI 25−30 kg/m(2) and BMI > 30 kg/m(2) as compared to BMI < 25 kg/m(2), respectively (27.2% vs. 39.2%; p = 0.31) (27.2% vs. 33.5%; p = 0.004). In the Cox multivariate analysis for mortality, BMI < 25 kg/m(2) and BMI > 30 kg/m(2) did not impact the mortality rate (HR 1.15, 95% CI: 0.889−1.508; p = 0.27) (HR 1.15, 95% CI: 0.893−1.479; p = 0.27). …”
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    Does there exist an obesity paradox in COVID-19? Insights of the international HOPE-COVID-19-registry
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