Literature DB >> 28347579

Treatment Patterns and Differences in Survival of Non-Small Cell Lung Cancer Patients Between Academic and Non-Academic Hospitals in the Netherlands.

Naomi van der Linden1, Mathilda L Bongers2, Veerle M H Coupé2, Egbert F Smit3, Harry J M Groen4, Alle Welling5, Franz M N H Schramel6, Carin A Uyl-de Groot7.   

Abstract

BACKGROUND: The aims of this study are to analyze differences in survival between academic and non-academic hospitals and to provide insight into treatment patterns for non-small cell lung cancer (NSCLC). Results show the state of NSCLC survival and care in the Netherlands.
METHODS: The Netherlands Cancer Registry provided data on NSCLC survival for all Dutch hospitals. We used the Kaplan-Meier estimate to calculate median survival time by hospital type and a Cox proportional hazards model to estimate the relative risk of mortality (expressed as hazard ratios) for patients diagnosed in academic versus non-academic hospitals, with adjustment for age, gender, and tumor histology, and stratifying for disease stage. Data on treatment patterns in Dutch hospitals was obtained from 4 hospitals (2 academic, 2 non-academic). A random sample of patients diagnosed with NSCLC from January 2009 until January 2011 was identified through hospital databases. Data was obtained on patient characteristics, tumor characteristics, and treatments.
RESULTS: The Cox proportional hazards model shows a significantly decreased hazard ratio of mortality for patients diagnosed in academic hospitals, as opposed to patients diagnosed in non-academic hospitals. This is specifically true for primary radiotherapy patients and patients who receive systemic treatment for non-metastasized NSCLC.
CONCLUSION: Patients diagnosed in academic hospitals have better median overall survival than patients diagnosed in non-academic hospitals, especially for patients treated with radiotherapy, systemic treatment, or combinations. This difference may be caused by residual confounding since the estimates were not adjusted for performance status. A wide variety of surgical, radiotherapeutic, and systemic treatments is prescribed.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Academic medical centers; Cancer registry; General hospitals; Mortality; Therapy

Mesh:

Year:  2015        PMID: 28347579     DOI: 10.1016/j.cllc.2015.11.011

Source DB:  PubMed          Journal:  Clin Lung Cancer        ISSN: 1525-7304            Impact factor:   4.785


  5 in total

1.  Health care resource use among patients with advanced non-small cell lung cancer: the PIvOTAL retrospective observational study.

Authors:  Dae Ho Lee; Hiroshi Isobe; Hubert Wirtz; Sabina Bandeira Aleixo; Phillip Parente; Filippo de Marinis; Min Huang; Ashwini Arunachalam; Smita Kothari; Xiting Cao; Nello Donnini; Ann-Marie Woodgate; Javier de Castro
Journal:  BMC Health Serv Res       Date:  2018-03-01       Impact factor: 2.655

2.  Systemic therapy treatment patterns in patients with advanced non-small cell lung cancer (NSCLC): PIvOTAL study.

Authors:  J de Castro; P Tagliaferri; V C C de Lima; S Ng; M Thomas; A Arunachalam; X Cao; S Kothari; T Burke; H Myeong; A Grattan; D H Lee
Journal:  Eur J Cancer Care (Engl)       Date:  2017-07-27       Impact factor: 2.520

3.  Breast-conserving surgery with or without irradiation in women with invasive ductal carcinoma of the breast receiving preoperative systemic therapy: A cohort study.

Authors:  Jiaqiang Zhang; Chang-Yun Lu; Lei Qin; Ho-Min Chen; Szu-Yuan Wu
Journal:  Breast       Date:  2020-10-05       Impact factor: 4.380

4.  Real-Life Long-Term Cohort of Patients With Stage IIIA Non-Small-Cell Lung Cancer: Overall Survival Related to Patients' Characteristics and Multiple Treatment Models.

Authors:  Fernando Conrado Abrão; Frederico Rafael Moreira; Igor Renato Louro Bruno de Abreu; Marcelo Giovanni Marciano; Riad Naim Younes
Journal:  JCO Glob Oncol       Date:  2021-09

5.  Prognostic factors and patients' profile in treated stage I and II lung adenocarcinoma: a Hospital's Cancer Registry-based analysis.

Authors:  Fernando Conrado Abrão; Stela Verzinhasse Peres; Igor Renato Louro Bruno de Abreu; Riad Naim Younes
Journal:  J Thorac Dis       Date:  2021-11       Impact factor: 2.895

  5 in total

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