Up-to-date and projected estimates of survival for people with cystic fibrosis using baseline characteristics: A longitudinal study using UK patient registry data-Reference-Cited by-同舟云学术

Up-to-date and projected estimates of survival for people with cystic fibrosis using baseline characteristics: A longitudinal study using UK patient registry data

Published:2018-03 Issue:2 Volume:17 Page:218-227
ISSN:1569-1993
Container-title:Journal of Cystic Fibrosis
language:en
Short-container-title:Journal of Cystic Fibrosis

Author:

Keogh Ruth H.,Szczesniak Rhonda,Taylor-Robinson David,Bilton Diana

Publisher

Elsevier BV

Subject

Pulmonary and Respiratory Medicine,Pediatrics, Perinatology and Child Health

Reference32 articles.

1. The effect of social deprivation on clinical outcomes and the use of treatments in the UK cystic fibrosis population: a longitudinal study;Taylor-Robinson;Lancet Respir Med,2013

2. Cystic fibrosis: current survival and population estimates to the year 2000;Elborn;Thorax,1991

3. Cystic fibrosis mortality and survival in the UK: 1947–2003;Dodge;Eur Respir J,2007

4. Validation and use of a parametric model for projecting cystic fibrosis survivorship beyond observed data: a birth cohort analysis;Jackson;Thorax,2011

Cited by 169 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluating the correspondence between the EQ-5D-5L and disease severity and quality of life in adults and adolescents with cystic fibrosis;Respiratory Medicine and Research;2024-11

2. Assessment of patients' baseline cystic fibrosis knowledge levels following translation and adaptation of the CF R.I.S.E translation program into Turkish;Pediatric Pulmonology;2024-09-02

3. Low Prevalence of Peptic Ulcer Disease in Hospitalized Patients with Cystic Fibrosis: a national database study;The American Journal of the Medical Sciences;2024-09

4. Evolving data on risk and current screening recommendations for colorectal cancer in cystic fibrosis: Pre‐ and posttransplant;Pediatric Pulmonology;2024-08-06

5. jmBIG: enhancing dynamic risk prediction and personalized medicine through joint modeling of longitudinal and survival data in big routinely collected data;BMC Medical Research Methodology;2024-08-06