Analysis of Diagnostic Delay and its Impact on Lung Cancer Survival : Results From the Spanish Thoracic Tumor Registry
Candal-Pedreira, C. (Universidade de Santiago de Compostela)
Ruano-Ravina, A. (Universidade de Santiago de Compostela)
Calvo de Juan, V. (Hospital Universitario Puerta de Hierro Majadahonda (Madrid))
Cobo, M. (Hospital Universitario Virgen de la Victoria (Màlaga, Andalusia))
Cantero, A. (Hospital Universitario Virgen de la Victoria (Màlaga, Andalusia))
Rodríguez-Abreu, D. (Hospital Universitario Insular de Gran Canaria)
Estival, Anna (Hospital Universitario Insular de Gran Canaria)
Carcereny, Enric (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Hernandez, Ainhoa (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
López Castro, R. (Hospital Clínico Universitario de Valladolid)
Medina, A. (Hospital Clínico Universitario de Valladolid)
García Campelo, R. (Complejo Hospitalario Universitario de A Coruña)
Fernández Bruno, M. (Complejo Hospitalario Universitario de A Coruña)
Barnabé, R. (Hospital Universitario Virgen del Rocío (Sevilla, Andalusia))
Bosch-Barrera, J. (Institut Català d'Oncologia)
Massutí, B. (Hospital General Universitario Dr. Balmis de Alicante)
Dómine Gómez, Manuel (Hospital Universitario Fundación Jiménez Díaz)
Camps, C. (Hospital General Universitario de Valencia)
Ortega, A.L. (Hospital Universitario de Jaén)
Provencio, M. (Grupo Español de Cáncer de Pulmón)
Universitat Autònoma de Barcelona

Data:	2024
Resum:	Background: Early detection is crucial to improve lung cancer survival rates. Delays in diagnosis might negatively impact the prognosis of the disease. This study aims to analyze the diagnostic delay in lung cancer patients and describe if there is an association between delay and survival. Methods: The data source used was the Thoracic Tumor Registry of the Spanish Lung Cancer Group. This analysis was restricted to lung cancer cases with information on the first date of consultation by symptoms and date of diagnosis. The delay was calculated as the number of days between the two dates. A descriptive analysis was performed, and ordinal logistic regressions were fitted with delay as the dependent variable. Kaplan-Meier survival analysis and Cox regression were performed. Results: 22,755 lung cancer cases were included. Never smokers were 1. 16 (95%CI: 1. 06-1. 27) times more likely to register longer delay than smokers. Stage 0-I-II cases had a 3. 09 (95%CI: 2. 88-3. 32) higher risk of longer delay compared to III-IV stages. Overall, 5-year survival rate after diagnosis was 23. 64% (95%CI: 22. 88-24. 41). In those categorized as having the shortest delay 5-year survival was 17. 67% (95%CI: 16. 31-19. 07) and in the extreme delay it was 32. 98% (95%CI: 31. 28-34. 69) (p < 0. 001). Adjusted mortality risk was higher in those with the shortest delay (HR 1. 36, CI95%: 1. 30-1. 43) in comparison with the extreme delay. Conclusions: Diagnostic delay is short among Spanish lung cancer patients, indicating a relatively quick diagnostic process. Extreme delays appear to be associated with higher survival rates, possibly attributed to slow-growing tumors, earlier stage at diagnosis or basically the natural history of this disease.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Diagnosis ; Lung cancer ; Lung neoplasms
Publicat a:	Archivos de bronconeumologia, Vol. 60 (october 2024) , p. S38-S45, ISSN 1579-2129

DOI: 10.1016/j.arbres.2024.07.006
PMID: 39068056

8 p, 981.8 KB

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Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències de la salut i biociències > Institut d'Investigació en Ciencies de la Salut Germans Trias i Pujol (IGTP)
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