scholarly journals Application of Mixture Cure Models in Determining the Survival of Patients with Cervical Cancer

2021 ◽  
Vol 14 (3) ◽  
Author(s):  
Rasool Gharaaghaji ◽  
Hale Ayatollahi ◽  
Marziye Mohammadpour ◽  
Javid Fereidoni ◽  
Hamid Reza Khalkhali
Keyword(s):  
Cervical Cancer ◽  
Parametric Models ◽  
Sample Population ◽  
Short Term ◽  
Term Survival ◽  
Factors Affecting ◽  
Cure Models ◽  
West Azerbaijan ◽  
Short Term Survival

Background: Cervical cancer is the fourth most common cancer among women and the seventh most common worldwide. Objectives: The present study aimed at investigating the usability of cure models in analyzing patients' survival. Besides, the factors affecting the long-term and short-term survival of the patients were determined, using Weibull, log-logistic, and log-normal models. Methods: The sample population of the study included 109 female patients with cervical cancer referred to Motahhari Hospital of Urmia (West Azerbaijan province) from 2004 to 2015. The cure survival analysis was used to determine the patients' survival. Results: The mean and standard deviation age at diagnosis was 50.1 ± 11.7 years. The patients' age, age at marriage, and the disease relapse were significant in the single-variable model on the long-term survival function of the patients. Moreover, the findings showed that Cured Log Logistic Parametric Model was more suitable for analyzing survival data in West Azerbaijan Province, Iran. The relapse variable was significant for all the parametric models. Conclusions: Given the divided sample population into immune and susceptible groups, the mixture cure models can be used to analyze the long-term and short-term survival of the patients with cervical cancer. Moreover, these models can be used to recognize the factors affecting both groups simultaneously.

scholarly journals Determining the Factors Affecting Long-Term and Short-Term Survival of Breast Cancer Patients in Rafsanjan Using a Mixture Cure Model

2021 ◽  
Vol 21 (2) ◽  
pp. e00516-e00516
Author(s):  
Sardar Jahani ◽  
Mina Hoseini ◽  
Rashed Pourhamidi ◽  
Mahshid Askari ◽  
Azam Moslemi
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Breast Cancer Patients ◽  
Short Term ◽  
Term Survival ◽  
Cure Model ◽  
Mixture Cure Model ◽  
Cure Models ◽  
Short Term Survival

Background: Breast cancer is one of the most common causes of death among women worldwide and the second leading cause of death among Iranian women. The incidence of this malignancy in Iran is 22 per 100,000 women. These patients have long-term survival time with advances in medical sciences. The present study aimed to identify the risk factors of breast cancer using Cox proportional hazard and Cox mixture cure models. Study design: It is a retrospective cohort study. Methods: In this cohort study, we recorded the survival time of 140 breast cancer patients referred to Ali Ibn Abitaleb Hospital in Rafsanjan, Iran, from 2001 to 2015. The Kaplan-Meier curve was plotted; moreover, two Cox proportional hazards and the Cox mixture cure models were fitted for the patients. Data analysis was performed using SAS 9.4 M5 software. Results: The mean age of patients was reported as 47.12 ±12.48 years at the commencement of the study. Moreover, 83.57% of patients were censored. The stage of disease was a significant variable in Cox and the survival portion of Cox mixture cure models (P=0.001). The consumption of herbal tea, tumor size, duration of the last lactation, family history of cancer, and the type of treatment were significant variables in the cured proportion of the Cox mixture cure model (P=0.001). Conclusion: The Cox mixture cure model is a flexible model which is able to distinguish between the long-term and short-term survival of breast cancer patients. For breast cancer patients, cure effective factors were the stage of the disease, consumption of herbal tea, tumor size, duration of the last lactation, family history, and the type of treatment.

scholarly journals Parenteral Nutrition and Oxidant Load in Neonates

Nutrients ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 2631
Author(s):  
Kandeepan Karthigesu ◽  
Robert F. Bertolo ◽  
Robert J. Brown
Keyword(s):  
Parenteral Nutrition ◽  
Storage Temperature ◽  
Oral Feeding ◽  
Published Data ◽  
Short Term ◽  
Antioxidant Defences ◽  
Term Survival ◽  
Nutrient Sources ◽  
Short Term Survival

Neonates with preterm, gastrointestinal dysfunction and very low birth weights are often intolerant to oral feeding. In such infants, the provision of nutrients via parenteral nutrition (PN) becomes necessary for short-term survival, as well as long-term health. However, the elemental nutrients in PN can be a major source of oxidants due to interactions between nutrients, imbalances of anti- and pro-oxidants, and environmental conditions. Moreover, neonates fed PN are at greater risk of oxidative stress, not only from dietary sources, but also because of immature antioxidant defences. Various interventions can lower the oxidant load in PN, including the supplementation of PN with antioxidant vitamins, glutathione, additional arginine and additional cysteine; reduced levels of pro-oxidant nutrients such as iron; protection from light and oxygen; and proper storage temperature. This narrative review of published data provides insight to oxidant molecules generated in PN, nutrient sources of oxidants, and measures to minimize oxidant levels.

Factors affecting short-term survival in patients older than 85 treated with resection for stage II and III colon cancer

Surgery ◽  
2021 ◽  
Author(s):  
Gabriela Poles ◽  
Roma Kaur ◽  
Erika Ramsdale ◽  
Maria J. Schymura ◽  
Larissa K. Temple ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Stage Ii ◽  
Short Term ◽  
Term Survival ◽  
Factors Affecting ◽  
Short Term Survival

Physicians’ predictions of long-term survival and functional outcomes do not influence the decision to admit patients with advanced disease to intensive care: A prospective study

2020 ◽  
pp. 026921632096393
Author(s):  
Monica Escher ◽  
Mathieu Nendaz ◽  
Fabienne Scherer ◽  
Stéphane Cullati ◽  
Thomas Perneger
Keyword(s):  
Intensive Care ◽  
Functional Outcomes ◽  
Advanced Disease ◽  
Short Term ◽  
Term Survival ◽  
Admission Decisions ◽  
Long Term Prognosis ◽  
A Prospective Study ◽  
Short Term Survival

Background: Long-term survival and functional outcomes should influence admission decisions to intensive care, especially for patients with advanced disease. Aim: To determine whether physicians’ predictions of long-term prognosis influenced admission decisions for patients with and without advanced disease. Design: A prospective study was conducted. Physicians estimated patient survival with intensive care and with care on the ward, and the probability of 4 long-term outcomes: leaving hospital alive, survival at 6 months, recovery of functional status, and recovery of cognitive status. Patient mortality at 28 days was recorded. We built multivariate logistic regression models using admission to the intensive care unit (ICU) as the dependent variable. Setting/participants: ICU consultations for medical inpatients at a Swiss tertiary care hospital were included. Results: Of 201 evaluated patients, 105 (52.2%) had an advanced disease and 140 (69.7%) were admitted to the ICU. The probability of admission was strongly associated with the expected short-term survival benefit for patients with or without advanced disease. In contrast, the predicted likelihood that the patient would leave the hospital alive, would be alive 6 months later, would recover functional status, and would recover initial cognitive capacity was not associated with the decision to admit a patient to the ICU. Even for patients with advanced disease, none of these estimated outcomes influenced the admission decision. Conclusions: ICU admissions of patients with advanced disease were determined by short-term survival benefit, and not by long-term prognosis. Advance care planning and developing decision-aid tools for triage could help limit potentially inappropriate admissions to intensive care.

Abstract 1279: Proteomics signature of long-term versus short-term survival in glioblastoma

2012 ◽  
Author(s):  
Jill Barnholtz-Sloan ◽  
Giridharan Gokulrangan ◽  
Yanwen Chen ◽  
Elizabeth Yohannes ◽  
Jaime Vengoechea ◽  
...  
Keyword(s):  
Short Term ◽  
Term Survival ◽  
Short Term Survival

scholarly journals Short-term survival and long-term mortality ofAcacia drepanolobiumafter a controlled burn

2008 ◽  
Vol 46 (3) ◽  
pp. 395-401 ◽  
Author(s):  
B. D. Okello ◽  
T. P. Young ◽  
C. Riginos ◽  
D. Kelly ◽  
T. G. O’Connor
Keyword(s):  
Short Term ◽  
Term Survival ◽  
Controlled Burn ◽  
Long Term Mortality ◽  
Short Term Survival
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