ArticleInternational journal of organ transplantation medicine2015
Comparison of Cox's Regression Model and Parametric Models in Evaluating the Prognostic Factors for Survival after Liver Transplantation in Shiraz during 2000-2012.
Article in International journal of organ transplantation medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Glycosylation of ascites-derived exosomal CD133: a potential prognostic biomarker in patients with advanced pancreatic cancer.Medical molecular morphology · 2019Trial
- A Multinational Cluster Randomised Controlled Trial to Assess the Efficacy of '11+ Kids': A Warm-Up Programme to Prevent Injuries in Children's Football.Sports medicine (Auckland, N.Z.) · 2018Trial
- Comparisons of cox semi-parametric and parametric shared frailty models: application for under-five children survival in sub-Saharan Africa.BMC public health · 2025Article
- Spatial inequalities and non-linear association of continuous variables with mortality risk of liver transplantation in Iran: a retrospective cohort study.Scientific reports · 2024Article
- Factors associated with time to first birth interval among ever married Bangladeshi women: A comparative analysis on Cox-PH model and parametric models.PLOS global public health · 2024Article
- Subsidised housing and diabetes mortality: a retrospective cohort study of 10 million low-income adults in Brazil.BMJ open diabetes research & care · 2023Article
- Projected 20- and 30-Year Outcomes for Pediatric Liver Transplant Recipients in the United States.Journal of pediatric gastroenterology and nutrition · 2020Article
- Comparison of Survival Models for Analyzing Prognostic Factors in Gastric Cancer PatientsAsian Pacific journal of cancer prevention : APJCP · 2018Article
- Cox Regression and Parametric Models: Comparison of How They Determine Factors Influencing Survival of Patients with Non-Small Cell Lung CarcinomaAsian Pacific journal of cancer prevention : APJCP · 2017Article
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6 authors.
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Abstract
backgroundIdentification of the prognostic factors for survival in patients with liver transplantation is challengeable. Various methods of survival analysis have provided different, sometimes contradictory, results from the same data.
objectiveTo compare Cox's regression model with parametric models for determining the independent factors for predicting adults' and pediatrics' survival after liver transplantation.
methodThis study was conducted on 183 pediatric patients and 346 adults underwent liver transplantation in Namazi Hospital, Shiraz, southern Iran. The study population included all patients undergoing liver transplantation from 2000 to 2012. The prognostic factors sex, age, Child class, initial diagnosis of the liver disease, PELD/MELD score, and pre-operative laboratory markers were selected for survival analysis.
resultAmong 529 patients, 346 (64.5%) were adult and 183 (34.6%) were pediatric cases. Overall, the lognormal distribution was the best-fitting model for adult and pediatric patients. Age in adults (HR=1.16, p<0.05) and weight (HR=2.68, p<0.01) and Child class B (HR=2.12, p<0.05) in pediatric patients were the most important factors for prediction of survival after liver transplantation. Adult patients younger than the mean age and pediatric patients weighing above the mean and Child class A (compared to those with classes B or C) had better survival.
conclusionParametric regression model is a good alternative for the Cox's regression model.
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