Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Time Trends in Waiting Times of NSCLC Patients.

Maastricht Radiation Oncology · 2015
ClinicalTrials.gov · Datasets · License: Public Domain · 2015
Open Source ↗
non-small-cell-lung-cancer
A large group of non-small cell lung cancer patients is treated with radiotherapy. Delivery of very high radiation doses is needed to obtain local control, but due to the large tumor and nodal volume this is often impossible without causing unrepairable damage to the normal tissue of the mediastinum, spinal cord, esophagus and lung. Although every tumor is different with respect to the speed with which it grows and spreads, it is obvious that time plays an important role in cancer therapy. Recently it was reported that disease progression or increase of tumor volume occurred during the time interval between diagnosis and treatment.(1, 2) This could lead to a less optimal radiation treatment and consequently have an impact on overall survival. Moreover, the increasing number of diagnostic procedures, aimed at obtaining more accurate information about the tumor extension and biology, as well as the use of more sophisticated but labor intense radiation techniques could prolong the time interval between clinical symptoms and the start of the treatment. However, the influence of new diagnostic procedures or the applied radiotherapy techniques on waiting times is not yet known. The investigators therefore want to investigate 1) time trends in the waiting time for NSCLC patients, 2) the correlation between waiting times and the use of more advanced diagnostic or therapeutic procedures, and 3) the correlation between waiting times and overall survival. The hypotheses of the study: 1. The diagnostic delay for NSCLC patients has increased during the last 12 years. 2. The preparation time for radiotherapy of NSCLC patients has increased during the last 12 years. 3. Prolonged waiting times are associated with worse overall survival outcome.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1153313
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive