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dc.contributor.authorLeiro Fernández, Virginia
dc.contributor.authorMouronte Roibás, Cecilia
dc.contributor.authorGarcía Rodríguez, Esmeralda
dc.contributor.authorBotana Rial, María Isabel
dc.contributor.authorRamos Hernández, Cristina
dc.contributor.authorTorres Durán, María
dc.contributor.authorRuano Raviña, Alberto
dc.contributor.authorFernández Villar, Alberto
dc.date.accessioned2020-04-15T17:33:07Z
dc.date.available2020-04-15T17:33:07Z
dc.date.issued2019
dc.identifier.citationLeiro-Fernández, V., Mouronte-Roibás, C., García-Rodríguez, E., Botana-Rial, M. et al. (2019). Predicting delays in lung cancer diagnosis and staging, "Thoracic Cancer", vol. 10, p. 296–303
dc.identifier.issn1759-7706
dc.identifier.urihttp://hdl.handle.net/10347/21441
dc.description.abstractBackground: Despite growing interest in increasing the efficiency and speed ofthe diagnosis, staging, and treatment of lung can cer (LC), the interval from signsand symptoms to diagnosis and treatment remains longer than recommended.The aim of this study was to analyze the factors that cause delays in the LC diag-nosis/staging process and, consequently, delays in makin g therapeutic decisions.Methods: We analyzed audit data from a prospective dataset of 1330 patientsassessed at The Lung Cancer Rapid Diagnostic Unit from 26 June 2013 to26 March 2016. The number and type of procedures and medical tests and thetimes of all procedures were recorded. Clinical and epidemiological variables andwhether the diagnosis was performed on an inpatient or outpatient basis werealso recorded.Results: Malignancy was confirmed in 737 (55.4%) of the 1330 patients, with LCin 627 of these (85.2%). The mean interval to final diagnosis was19.8  13.9 days. Variables significantly related to a longer diagnostic time werethe number of days until computed tomography (CT) was performed (odds ratio[OR], 95% confidence interval [CI] 1.347, 1.103–1.645; P = 0.003), until a histol-ogy sample was obtained (OR 1.243, 95% CI1.062–1.454; P = 0.007), and thetotal number of tests performed during the diagnostic and staging process(OR 1.823, 95% CI 1.046–3.177; P = 0.03).Conclusions: A greater number of tests and more days to CT and histology ledto longer delay times. Optimization of these factors should reduce delays in theLC diagnosis process.
dc.language.isoeng
dc.publisherWiley
dc.rights© 2019 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectAlert radiology system
dc.subjectDelay
dc.subjectDiagnosis
dc.subjectLung cancer
dc.subjectRapid lung cancer diagnostic unit
dc.titlePredicting delays in lung cancer diagnosis and staging
dc.typeinfo:eu-repo/semantics/article
dc.identifier.DOI10.1111/1759-7714.12950
dc.relation.publisherversionhttps://doi.org/10.1111/1759-7714.12950
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.e-issn1759-7714
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Psiquiatría, Radioloxía, Saúde Pública, Enfermaría e Medicina
dc.description.peerreviewedSI


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© 2019 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes
Except where otherwise noted, this item's license is described as  © 2019 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes





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