Induced smoothing for rank regression with censored survival times

2007 ◽  
Vol 26 (4) ◽  
pp. 828-836 ◽  
Author(s):  
B. M. Brown ◽  
You-Gan Wang
Keyword(s):  
Survival Times ◽  
Rank Regression ◽  
Induced Smoothing

Transition (markov) models for the analysis of survival times in clinical research

1999 ◽  
Vol 28 (1) ◽  
pp. 165-176
Author(s):  
Sati Mazumdar ◽  
Kenneth Liu ◽  
Sang Ahnn ◽  
Patricia R. Houck ◽  
Charles F. Reynolds
Keyword(s):  
Clinical Research ◽  
Markov Models ◽  
Survival Times

Oxygen treatment after perinatal hypoxia-ischemia reduces neuronal damage at short survival times, but worsens injury with long-term survival

2005 ◽  
Vol 25 (1_suppl) ◽  
pp. S444-S444 ◽  
Author(s):  
Kristin M Noppens ◽  
J Regino Perez-Polo ◽  
David K Rassin ◽  
Karin N Westlund ◽  
Roderic Fabian ◽  
...  
Keyword(s):  
Neuronal Damage ◽  
Perinatal Hypoxia ◽  
Survival Times ◽  
Term Survival ◽  
Long Term Survival ◽  
Short Survival ◽  
Oxygen Treatment ◽  
Hypoxia Ischemia

scholarly journals Outcomes Related to Percutaneous Nephrostomies (PCN) in Malignancy-Associated Ureteric Obstruction: A Systematic Review of the Literature

2021 ◽  
Vol 10 (11) ◽  
pp. 2354
Author(s):  
Francesca J. New ◽  
Sally J. Deverill ◽  
Bhaskar K. Somani
Keyword(s):  
Quality Of Life ◽  
Advanced Cancer ◽  
Previous Treatment ◽  
Cochrane Library ◽  
Cancer Type ◽  
Ureteric Obstruction ◽  
Survival Times ◽  
Advanced Malignancies ◽  
The Impact

Background: Malignant ureteric obstruction occurs in a variety of cancers and has been typically associated with a poor prognosis. Percutaneous nephrostomy (PCN) can potentially help increase patient longevity by establishing urinary drainage and treating renal failure. Our aim was to look at the outcomes of PCN in patients with advanced cancer and the impact on the patients’ lifespan and quality of life. Materials and Methods: A literature review was carried out for articles from 2000 to 2020 on PCN in patients with advanced malignancies, using MEDLINE, EMBASE, Scopus, CINAHL, Cochrane Library, clinicaltrials.gov, and Google Scholar. All English-language articles reporting on a minimum of 20 patients who underwent PCN for malignancy-associated ureteric obstruction were included. Results: A total of 21 articles (1674 patients) met the inclusion criteria with a mean of 60.2 years (range: 21–102 years). PCN was performed for ureteric obstruction secondary to urological malignancies (n = −633, 37.8%), gynaecological malignancies (n = 437, 26.1%), colorectal and GI malignancies (n = 216, 12.9%), and other specified malignancies (n = 205, 12.2%). The reported mean survival times varied from 2 to 8.5 months post PCN insertion, with an average survival time of 5.6 months, which depended on the cancer type, stage, and previous treatment. Conclusions: Patients with advanced malignancies who need PCN tend to have a survival rate under 12 months and spend a large proportion of this time in the hospital. Although the advent of newer chemotherapy and immunotherapy options has changed the landscape of managing advanced cancer, decisions on nephrostomy must be balanced with their survival and quality of life, which must be discussed with the patient.

Risk scoring by CHADS2 and CHA2DS2-VASc as predictors for long-term outcomes after surgical ablation for atrial fibrillation

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
D Lauritzen ◽  
H.J Vodstrup ◽  
T.D Christensen ◽  
M Onat ◽  
R Christensen ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Cardiac Surgery ◽  
Isolation Procedure ◽  
Survival Times ◽  
Long Term Outcomes ◽  
Surgical Ablation ◽  
Follow Up Study ◽  
Risk Scoring

Abstract Background Following catheter ablation for atrial fibrillation (AF), CHADS2 and CHA2DS2-VASc have utility in predicting long-term outcomes. However, it is currently unknown if the same holds for patients undergoing surgical ablation. Purpose To determine whether CHADS2 and CHA2DS2-VASc predict long-term outcomes after surgical ablation in concomitance with other cardiac surgery. Methods In this prospective, follow-up study, we included patients who underwent biatrial ablation - or pulmonary vein isolation procedure concomitantly with other cardiac surgery between 2004 and 2018. CHADS2 and CHA2DS2-VASc scores were assessed prior to surgery and categorized in groups as 0–1, 2–4 or ≥5. Outcomes were death, AF, and AF-related death. Follow-up was ended in April 2019. Results A total of 587 patients with a mean age of 68.7±0.4 years were included. Both CHADS2 and CHA2DS2-VASc scores were predictors of survival p=0.005 and p<0.001, respectively (Figure). For CHADS2, mean survival times were 5.9±3.7 years for scores 0–1, 5.0±3.0 years for scores 2–4 and 4.3±2.6 years for scores ≥5. For CHA2DS2-VASc mean survival times were 7.3±4.0 years for scores 0–1, 5.6±2.9 years for scores 2–4 and 4.8±2.1 years for scores ≥5. The incidence of death was 20.1% for CHADS2 0–1, 24.8% for CHADS2 2–4, and 35.3% for CHADS2 ≥5, p=0.186. The incidence of AF was 50.2% for CHADS2 0–1, 47.9% for CHADS2 2–4, and 76.5% for CHADS2 ≥5, p=0.073. The incidence of AF related death was 13.0% for CHADS2 0–1, 16.8% for CHADS2 2–4, and 35.3% for CHADS2 ≥5, p=0.031. The incidence of death was 16.8% for CHA2DS2-VASc 0–1, 26.2% for CHA2DS2-VASc 2–4, and 45.0% for CHA2DS2-VASc ≥5, p=0.001. The incidence of AF was 49.6% for CHA2DS2-VASc 0–1, 52.5% for CHA2DS2-VASc 2–4, and 72.5% for CHA2DS2-VASc ≥5, p=0.035. The incidence of AF related death was 12.2% for CHA2DS2-VASc 0–1, 16.0% for CHA2DS2-VASc 2–4, and 42.5% for CHA2DS2-VASc ≥5, p<0.001. Conclusion Both CHADS2 and CHA2DS2-VASc scores predict long-term outcomes after surgical ablation for AF. However, CHA2DS2-VASc was superior in predicting death, AF, and AF-related death. Survival curves Funding Acknowledgement Type of funding source: None

scholarly journals A Sparse and Low-Rank Regression Model for Identifying the Relationships Between DNA Methylation and Gene Expression Levels in Gastric Cancer and the Prediction of Prognosis

Genes ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 854
Author(s):  
Yishu Wang ◽  
Lingyun Xu ◽  
Dongmei Ai
Keyword(s):  
Gene Expression ◽  
Gastric Cancer ◽  
Dna Methylation ◽  
Regression Model ◽  
The Cancer Genome Atlas ◽  
Low Rank ◽  
Expression Levels ◽  
Rank Regression ◽  
Prediction Of Prognosis ◽  
Gene Expression Levels

DNA methylation is an important regulator of gene expression that can influence tumor heterogeneity and shows weak and varying expression levels among different genes. Gastric cancer (GC) is a highly heterogeneous cancer of the digestive system with a high mortality rate worldwide. The heterogeneous subtypes of GC lead to different prognoses. In this study, we explored the relationships between DNA methylation and gene expression levels by introducing a sparse low-rank regression model based on a GC dataset with 375 tumor samples and 32 normal samples from The Cancer Genome Atlas database. Differences in the DNA methylation levels and sites were found to be associated with differences in the expressed genes related to GC development. Overall, 29 methylation-driven genes were found to be related to the GC subtypes, and in the prognostic model, we explored five prognoses related to the methylation sites. Finally, based on a low-rank matrix, seven subgroups were identified with different methylation statuses. These specific classifications based on DNA methylation levels may help to account for heterogeneity and aid in personalized treatments.

scholarly journals THE RELATIONSHIP BETWEEN INFLAMMATORY DIETARY PATTERN AND INCIDENCE OF PERIODONTITIS

2021 ◽  
pp. 1-36
Author(s):  
Ahmed A. Alhassani ◽  
Frank B. Hu ◽  
Bernard A. Rosner ◽  
Fred K. Tabung ◽  
Walter C. Willett ◽  
...  
Keyword(s):  
Confidence Interval ◽  
Periodontal Disease ◽  
Secondary Analysis ◽  
Hazard Ratio ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Increased Risk ◽  
Cox Proportional Hazard Models ◽  
Study Population

ABSTRACT The long-term inflammatory impact of diet could potentially elevate the risk of periodontal disease through modification of systemic inflammation. The aim of the present study was to prospectively investigate the associations between a food based, reduced rank regression (RRR) derived, empirical dietary inflammatory pattern (EDIP) and incidence of periodontitis. The study population was composed of 34,940 men from the Health Professionals Follow-Up Study, who were free of periodontal disease and major illnesses at baseline (1986). Participants provided medical and dental history through mailed questionnaires every 2 years, and dietary data through validated semi-quantitative food frequency questionnaires every 4 years. We used Cox proportional hazard models to examine the associations between EDIP scores and validated self-reported incidence of periodontal disease over a 24-year follow-up period. No overall association between EDIP and the risk of periodontitis was observed; the hazard ratio comparing the highest EDIP quintile (most proinflammatory diet) to the lowest quintile was 0.99 (95% confidence interval: 0.89 -1.10, p-value for trend = 0.97). A secondary analysis showed that among obese non-smokers (i.e. never and former smokers at baseline), the hazard ratio for periodontitis comparing the highest EDIP quintile to the lowest was 1.39 (95% confidence interval: 0.98 -1.96, p-value for trend = 0.03). In conclusion, no overall association was detected between EDIP and incidence of self-reported periodontitis in the study population. From the subgroups evaluated EDIP was significantly associated with increased risk of periodontitis only among nonsmokers who were obese. Hence, this association must be interpreted with caution.

scholarly journals Common pathways and functional profiles reveal underlying patterns in Breast, Kidney and Lung cancers

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Sergio Romera-Giner ◽  
Zoraida Andreu Martínez ◽  
Francisco García-García ◽  
Marta R. Hidalgo
Keyword(s):  
Molecular Mechanisms ◽  
Machine Learning Techniques ◽  
Alternative Activation ◽  
Survival Times ◽  
Major Health Problem ◽  
Lung Cancers ◽  
Cancer Data ◽  
Cell Functions ◽  
Cancer Pathogenesis ◽  
Tissue Of Origin

Abstract Background Cancer is a major health problem which presents a high heterogeneity. In this work we explore omics data from Breast, Kidney and Lung cancers at different levels as signalling pathways, functions and miRNAs, as part of the CAMDA 2019 Hi-Res Cancer Data Integration Challenge. Our goal is to find common functional patterns which give rise to the generic microenvironment in these cancers and contribute to a better understanding of cancer pathogenesis and a possible clinical translation down further studies. Results After a tumor versus normal tissue comparison of the signaling pathways and cell functions, we found 828 subpathways, 912 Gene Ontology terms and 91 Uniprot keywords commonly significant to the three studied tumors. Such features interestingly show the power to classify tumor samples into subgroups with different survival times, and predict tumor state and tissue of origin through machine learning techniques. We also found cancer-specific alternative activation subpathways, such as the ones activating STAT5A in ErbB signaling pathway. miRNAs evaluation show the role of miRNAs, such as mir-184 and mir-206, as regulators of many cancer pathways and their value in prognoses. Conclusions The study of the common functional and pathway activities of different cancers is an interesting approach to understand molecular mechanisms of the tumoral process regardless of their tissue of origin. The existence of platforms as the CAMDA challenges provide the opportunity to share knowledge and improve future scientific research and clinical practice.

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