FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4379280674> ?p ?o ?g. }

• W4379280674 endingPage "e22508" @default.
• W4379280674 startingPage "e22508" @default.
• W4379280674 abstract "e22508 Background: Public health goals often articulate aspirations to improve cancer survival by some pre-specified percentage. Such survival improvements may be achieved through a combination of medical interventions and lifestyle change. Early detection of cancer can contribute to cancer survival improvements. Impact of early detection programs is realized both through innovation driving advances in screening technologies and increased access and adherence with screening tests. We develop a quantitative approach to characterize the magnitude of early detection across multiple cancer types that corresponds to a specified percent improvement in survival. Methods: A matrix equation is developed relating survival and stage shift. The percent of survival improvement is defined a priori as 20% in this case but can be set to other percentages. We populate the matrix equation with incidence and cause-specific survival for 15 cancers by stage at diagnosis from the National Cancer Institute’s Surveillance, Epidemiology, and End Results database. We then use linear programming to solve the matrix for all specified cancers simultaneously given a set of constraints formulated to steer the solution towards the least stage shift required to achieve the objective and to partially compensate for length-time bias. Results: Based on our target survival improvement of 20%, three common trends emerged across 14 of the 15 cancer types: first, we see that the bulk of survival improvement can be achieved by detecting most disease prior to stage 4; second, that the remaining survival improvement can be achieved by detecting most cancers just one stage earlier; and third, that stage 1 diagnosis is generally not necessary to achieve reasonable survival improvement goals. The solution revealed lung cancer as the one type that required more aggressive earlier detection than others, an expected result given that lung cancer has both very high incidence and very poor survival. Conclusions: The mathematical framework we develop is very flexible and can be helpful for public health officials and innovators to characterize the contribution that earlier cancer detection can make towards improved cancer survival. Our results suggest that detecting cancer prior to the development of distant metastases, even after progression beyond stage 1, has potential for significant public health benefit. This approach may also be extended to assess the impact that emerging treatment landscapes, coupled with early cancer detection, may have on improved cancer survival." @default.
• W4379280674 created "2023-06-05" @default.
• W4379280674 creator A5032059107 @default.
• W4379280674 creator A5048477205 @default.
• W4379280674 creator A5057063597 @default.
• W4379280674 creator A5083337680 @default.
• W4379280674 date "2023-06-01" @default.
• W4379280674 modified "2023-09-25" @default.
• W4379280674 title "A flexible quantitative framework to assess the potential contribution of early cancer detection to improved cancer survival." @default.
• W4379280674 doi "https://doi.org/10.1200/jco.2023.41.16_suppl.e22508" @default.
• W4379280674 hasPublicationYear "2023" @default.
• W4379280674 type Work @default.
• W4379280674 citedByCount "0" @default.
• W4379280674 crossrefType "journal-article" @default.
• W4379280674 hasAuthorship W4379280674A5032059107 @default.
• W4379280674 hasAuthorship W4379280674A5048477205 @default.
• W4379280674 hasAuthorship W4379280674A5057063597 @default.
• W4379280674 hasAuthorship W4379280674A5083337680 @default.
• W4379280674 hasConcept C10515644 @default.
• W4379280674 hasConcept C121608353 @default.
• W4379280674 hasConcept C126322002 @default.
• W4379280674 hasConcept C143998085 @default.
• W4379280674 hasConcept C146357865 @default.
• W4379280674 hasConcept C151730666 @default.
• W4379280674 hasConcept C177264268 @default.
• W4379280674 hasConcept C199360897 @default.
• W4379280674 hasConcept C41008148 @default.
• W4379280674 hasConcept C71924100 @default.
• W4379280674 hasConcept C86803240 @default.
• W4379280674 hasConceptScore W4379280674C10515644 @default.
• W4379280674 hasConceptScore W4379280674C121608353 @default.
• W4379280674 hasConceptScore W4379280674C126322002 @default.
• W4379280674 hasConceptScore W4379280674C143998085 @default.
• W4379280674 hasConceptScore W4379280674C146357865 @default.
• W4379280674 hasConceptScore W4379280674C151730666 @default.
• W4379280674 hasConceptScore W4379280674C177264268 @default.
• W4379280674 hasConceptScore W4379280674C199360897 @default.
• W4379280674 hasConceptScore W4379280674C41008148 @default.
• W4379280674 hasConceptScore W4379280674C71924100 @default.
• W4379280674 hasConceptScore W4379280674C86803240 @default.
• W4379280674 hasIssue "16_suppl" @default.
• W4379280674 hasLocation W43792806741 @default.
• W4379280674 hasOpenAccess W4379280674 @default.
• W4379280674 hasPrimaryLocation W43792806741 @default.
• W4379280674 hasRelatedWork W1922489046 @default.
• W4379280674 hasRelatedWork W1989579502 @default.
• W4379280674 hasRelatedWork W2356105190 @default.
• W4379280674 hasRelatedWork W2365364931 @default.
• W4379280674 hasRelatedWork W2372105188 @default.
• W4379280674 hasRelatedWork W2383775094 @default.
• W4379280674 hasRelatedWork W2418638721 @default.
• W4379280674 hasRelatedWork W2767018984 @default.
• W4379280674 hasRelatedWork W2994700791 @default.
• W4379280674 hasRelatedWork W4287415335 @default.
• W4379280674 hasVolume "41" @default.
• W4379280674 isParatext "false" @default.
• W4379280674 isRetracted "false" @default.
• W4379280674 workType "article" @default.