Literature DB >> 31319992

Variation in the time to treatment for stage III and IV non-small cell lung cancer patients for hospitals in the Netherlands.

M van de Ven1, V P Retèl2, H Koffijberg3, W H van Harten4, M J IJzerman5.   

Abstract

OBJECTIVES: Increased emphasis on molecular diagnostics can lead to increased variation in time to treatment (TTT) for patients with stage III and IV non-small cell lung cancer. This article presents the variation in TTT for advanced NSCLC patients observed in Dutch hospitals before the widespread use of immunotherapy. The aim of this article was to explore the variation in TTT between patients, as well as between hospitals.
MATERIAL AND METHODS: Based on the Netherlands Cancer Registry, we used patient-level data (n = 4096) from all 78 hospitals that diagnosed stage III or IV NSCLC in the Netherlands in 2016. To investigate how patient characteristics and hospital-level effects are associated with TTT (from diagnosis until start treatment), we interpreted regression model results for five common patient profiles to analyze the influence of age, gender, tumor stage, performance status, histology, and referral status as well as hospital-level characteristics on the TTT. RESULTS AND
CONCLUSIONS: TTT varies substantially between and within hospitals. The median TTT was 28 days with an inter-quartile range of 22 days. The hospital-level median TTT ranges from 17 to 68 days. TTT correlates significantly with tumor stage, performance status, and histology. The hospital-level effect, unrelated to hospital volume and type, affected TTT by several weeks at most. For most patients, TTT is within range as recommended in current guidelines. Variation in TTT seems higher for patients receiving either radiotherapy or targeted therapy, or for patients referred to another hospital and we hypothesize this is related to the complexity of the diagnostic pathway. With further advances in molecular diagnostics and precision oncology we expect variation in TTT to increase and this needs to be considered in designing optimal cancer care delivery.
Copyright © 2019 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cancer registry; Delay; Diagnostic; Non-small cell lung cancer; Time to treatment; Treatment

Mesh:

Year:  2019        PMID: 31319992     DOI: 10.1016/j.lungcan.2019.05.023

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  4 in total

1.  'Care for Outcomes': systematic development of a set of outcome indicators to improve patient-relevant outcomes for patients with lung cancer.

Authors:  Christine M Cramer-van der Welle; Lotte van Loenhout; Ben Eem van den Borne; Franz Mnh Schramel; Lea M Dijksman
Journal:  BMJ Open       Date:  2021-01-15       Impact factor: 2.692

2.  Developing a dynamic simulation model to support the nationwide implementation of whole genome sequencing in lung cancer.

Authors:  Michiel van de Ven; Maarten IJzerman; Valesca Retèl; Wim van Harten; Hendrik Koffijberg
Journal:  BMC Med Res Methodol       Date:  2022-03-27       Impact factor: 4.615

3.  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

4.  Phase I trial of nedaplatin and S-1 in patients with advanced squamous cell lung cancer.

Authors:  Nobuhiro Kanaji; Tomoya Ishii; Yutaka Ueda; Hirohisa Ichikawa; Nobuhito Kishimoto; Norimitsu Kadowaki
Journal:  Mol Clin Oncol       Date:  2020-10-23
  4 in total

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