The Landsteiner lung cancer research platform (LALUCA)

Anna Lang-Stöberl 1
Hannah Fabikan 1
Maximilan Hochmair 1, 2
Maximilian Hochmair 1, 2
Klaus Kirchbacher 1, 3
Vikaela Mania Rodriguez 1
Vania Mikaela Rodriguez 1
Leya Ay 1, 2
Leyla Ay 1, 2
Christoph Weinlinger 1
David Rosenthaler 1
Oliver Illini 1, 2
Nino Müser 1, 3
Georg-Christian Funk 1, 3
Arschang Valipour 1, 2
1
 
Karl Landsteiner Institute of Lung Research and Pulmonary Oncology, Klinik Floridsdorf and Klinik Ottakring, Vienna, Austria
2
 
Department of Respiratory and Critical Care Medicine, Klinik Floridsdorf, Vienna Healthcare Group, Vienna, Austria
3
 
2nd Department of Internal Medicine with Pneumology, Klinik Ottakring, Vienna Healthcare Group, Vienna, Austria
Publication typeJournal Article
Publication date2024-04-23
scimago Q2
wos Q2
SJR0.682
CiteScore5.3
Impact factor2.1
ISSN00435325, 16137671
Abstract
Summary
Background

Lung cancer is a major health burden in Austria; however, limited real-world data exist on the diagnostic and treatment reality of lung cancer patients in Austria. The collection of high-quality data in a clinical setting is needed to gain insights into the real-world diagnostic and therapeutic management of lung cancer patients.

Methods

The Karl Landsteiner Institute for Lung Research and Pulmonary Oncology implemented the Landsteiner lung cancer research platform (LALUCA), recruiting unselected lung cancer patients from two high volume centers in Vienna. This article describes the objectives, design, methodology of the registry and the process of implementation.

Results

A multidisciplinary team of lung cancer specialists created a custom designed variable catalogue for the LALUCA platform consisting of 17 categories with 180 variables. Detailed information on clinical characteristics, diagnostic interventions, molecular pathology as well as curative and palliative treatment modalities are collected. During an implementation phase in 2020, the platform was optimized using the data of 50 patients. Since then a total of 1200 patients have been enrolled. Recruitment for the registry is ongoing with a recruitment rate of approximately 400 patients per year.

Conclusion

The LALUCA registry is a web-based platform for the collection of real-world clinical data of lung cancer patients. Combining a large number of patients with a focus on gathering comprehensive data on diagnosis and treatment, the LALUCA registry provides a tool for investigation, evaluation, and improvement of the clinical management, survival and quality of care of Austrian lung cancer patients.

Found 
Found 

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GOST Copy
Lang-Stöberl A. et al. The Landsteiner lung cancer research platform (LALUCA) // Wiener Klinische Wochenschrift. 2024.
GOST all authors (up to 50) Copy
Lang-Stöberl A., Fabikan H., Hochmair M., Hochmair M., Kirchbacher K., Rodriguez V. M., Rodriguez V. M., Ay L., Ay L., Weinlinger C., Rosenthaler D., Illini O., Müser N., Funk G., Valipour A. The Landsteiner lung cancer research platform (LALUCA) // Wiener Klinische Wochenschrift. 2024.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1007/s00508-024-02351-3
UR - https://link.springer.com/10.1007/s00508-024-02351-3
TI - The Landsteiner lung cancer research platform (LALUCA)
T2 - Wiener Klinische Wochenschrift
AU - Lang-Stöberl, Anna
AU - Fabikan, Hannah
AU - Hochmair, Maximilan
AU - Hochmair, Maximilian
AU - Kirchbacher, Klaus
AU - Rodriguez, Vikaela Mania
AU - Rodriguez, Vania Mikaela
AU - Ay, Leya
AU - Ay, Leyla
AU - Weinlinger, Christoph
AU - Rosenthaler, David
AU - Illini, Oliver
AU - Müser, Nino
AU - Funk, Georg-Christian
AU - Valipour, Arschang
PY - 2024
DA - 2024/04/23
PB - Springer Nature
PMID - 38652311
SN - 0043-5325
SN - 1613-7671
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2024_Lang-Stöberl,
author = {Anna Lang-Stöberl and Hannah Fabikan and Maximilan Hochmair and Maximilian Hochmair and Klaus Kirchbacher and Vikaela Mania Rodriguez and Vania Mikaela Rodriguez and Leya Ay and Leyla Ay and Christoph Weinlinger and David Rosenthaler and Oliver Illini and Nino Müser and Georg-Christian Funk and Arschang Valipour},
title = {The Landsteiner lung cancer research platform (LALUCA)},
journal = {Wiener Klinische Wochenschrift},
year = {2024},
publisher = {Springer Nature},
month = {apr},
url = {https://link.springer.com/10.1007/s00508-024-02351-3},
doi = {10.1007/s00508-024-02351-3}
}