2022
DOI: 10.1101/2022.06.01.22275657
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Symptoms and signs of lung cancer prior to diagnosis: Comparative study using electronic health records

Abstract: Background: Lung cancer is the most common cause of cancer-related death in the United States (US), with most patients diagnosed at later stages (3 or 4). While most patients are diagnosed following symptomatic presentation, no studies have compared symptoms and physical examination signs at or prior to diagnosis from electronic health records (EHR) in the United States (US). Objective: To identify symptoms and signs in patients prior to lung cancer diagnosis in EHR data. Study Design: Case-control study. Met… Show more

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Cited by 5 publications
(8 citation statements)
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“…Furthermore, NLP extraction is limited by performance of the annotation tool used and what the provider documents, which could vary widely from provider to provider. Third, our definition of onset of clinical presentation based on the documentation of a certain number of symptoms/signs associated with lung cancer may be too non-specific and merely reflect other concomitant illness, however these clinical features are consistent with multiple other studies that have examined clinical presentation of lung cancer in ambulatory care [ 6 , 17 , 51 ].…”
Section: Discussionsupporting
confidence: 70%
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“…Furthermore, NLP extraction is limited by performance of the annotation tool used and what the provider documents, which could vary widely from provider to provider. Third, our definition of onset of clinical presentation based on the documentation of a certain number of symptoms/signs associated with lung cancer may be too non-specific and merely reflect other concomitant illness, however these clinical features are consistent with multiple other studies that have examined clinical presentation of lung cancer in ambulatory care [ 6 , 17 , 51 ].…”
Section: Discussionsupporting
confidence: 70%
“…NLP identified a richer set of symptoms/signs from free text clinical fields compared to coded data [ 17 ]. This may explain why we identified earlier documentation of symptoms/signs potentially associated lung cancer than previous studies that did not use NLP methods.…”
Section: Discussionmentioning
confidence: 99%
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