FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2892941330> ?p ?o ?g. }

• W2892941330 abstract "Background: Cancer registries worldwide are vital to determine cancer burden, plan cancer control measures, and facilitate research. Population-based cancer registries are a priority for LMICs by the UICC; the National Cancer Registry Program (NCRP) of India oversees 28 such registries. A primary function of registries is to combine data for the same individual from multiple sources. For other disease cohorts where cancer is an outcome of interest, registries can potentially connect information by linking datasets together. Barriers to successful registration and linkages include systems in which cancer is not a notifiable disease, no universal unique individual identifier exists, and lack of trained personnel. This study utilizes technology and infrastructure to develop better linkages, surveillance, and outcomes. Aim: To assess the feasibility of linking large cohorts designed for cardio-metabolic disease research with cancer registries in New Delhi and Chennai; determine additional steps required for linkage accuracy and completeness; and develop detailed protocols for future applications. Methods: A pilot protocol for linkage between a large diabetes cohort and cancer registries in Delhi and Chennai was developed using MatchPro, a probabilistic record linkage program developed for cancer registries. Probabilistic software links datasets together in the presence of uncertainty (eg misspelled or abbreviated names) to identify record pairs with high probability of representing the same individual. For this study, algorithms were developed to address unique aspects of names and demographics in India. The software and algorithms focused on: detecting duplicates in cancer registries; and linking registries with external files from diabetes cohorts. In Delhi, 3 1-year datasets covering 3 years (2010, 2011, 2012) were linked with the diabetes cohort; in Chennai, the linkage included 3 5-year datasets covering 15 years (2000-04, '05-'09, '10-'14). The unique ID (Aadhaar) is not collected or linked systematically between different systems at this point in time. Results: Linkage attempts yielded potential matches ranked according to probabilistic scores; highest scores were reviewed to determine true matches. In Chennai, this process yielded: (2010-2014) 21% self-reported (SR) cases matching perfectly, 36% requiring follow-up, 13 nonreported (NR) cases found; 2005-2009: 33% SR cases matched perfectly, 1 NR case found; 2000-2004: 1 NR case. Also, 2 training workshops on data linkages and software were held. Conclusion: Linkages between cancer registries and other data sources are feasible in LMICs using probabilistic record linkage software augmented by manual matching. Future efforts to use existing epidemiologic resources (cohorts) and cancer research infrastructure (registries and clinical centers) can enhance research including understanding shared risk factors and pathophysiologic mechanisms e.g., between cancer and other NCD." @default.
• W2892941330 created "2018-10-05" @default.
• W2892941330 creator A5004064950 @default.
• W2892941330 creator A5009573936 @default.
• W2892941330 creator A5015160949 @default.
• W2892941330 creator A5018621533 @default.
• W2892941330 creator A5019445593 @default.
• W2892941330 creator A5030459079 @default.
• W2892941330 creator A5037653233 @default.
• W2892941330 creator A5038685473 @default.
• W2892941330 creator A5045102081 @default.
• W2892941330 creator A5046069896 @default.
• W2892941330 creator A5050583390 @default.
• W2892941330 creator A5055575314 @default.
• W2892941330 creator A5056296628 @default.
• W2892941330 creator A5069267596 @default.
• W2892941330 creator A5075915402 @default.
• W2892941330 creator A5084199427 @default.
• W2892941330 creator A5090571211 @default.
• W2892941330 date "2018-10-01" @default.
• W2892941330 modified "2023-09-27" @default.
• W2892941330 title "Feasibility and Results of Cancer Registry and Noncommunicable Disease Cohort Data Linkages in India" @default.
• W2892941330 doi "https://doi.org/10.1200/jgo.18.53600" @default.
• W2892941330 hasPublicationYear "2018" @default.
• W2892941330 type Work @default.
• W2892941330 sameAs 2892941330 @default.
• W2892941330 citedByCount "0" @default.
• W2892941330 crossrefType "journal-article" @default.
• W2892941330 hasAuthorship W2892941330A5004064950 @default.
• W2892941330 hasAuthorship W2892941330A5009573936 @default.
• W2892941330 hasAuthorship W2892941330A5015160949 @default.
• W2892941330 hasAuthorship W2892941330A5018621533 @default.
• W2892941330 hasAuthorship W2892941330A5019445593 @default.
• W2892941330 hasAuthorship W2892941330A5030459079 @default.
• W2892941330 hasAuthorship W2892941330A5037653233 @default.
• W2892941330 hasAuthorship W2892941330A5038685473 @default.
• W2892941330 hasAuthorship W2892941330A5045102081 @default.
• W2892941330 hasAuthorship W2892941330A5046069896 @default.
• W2892941330 hasAuthorship W2892941330A5050583390 @default.
• W2892941330 hasAuthorship W2892941330A5055575314 @default.
• W2892941330 hasAuthorship W2892941330A5056296628 @default.
• W2892941330 hasAuthorship W2892941330A5069267596 @default.
• W2892941330 hasAuthorship W2892941330A5075915402 @default.
• W2892941330 hasAuthorship W2892941330A5084199427 @default.
• W2892941330 hasAuthorship W2892941330A5090571211 @default.
• W2892941330 hasBestOaLocation W28929413301 @default.
• W2892941330 hasConcept C121608353 @default.
• W2892941330 hasConcept C126322002 @default.
• W2892941330 hasConcept C142210648 @default.
• W2892941330 hasConcept C142724271 @default.
• W2892941330 hasConcept C2778527826 @default.
• W2892941330 hasConcept C2779134260 @default.
• W2892941330 hasConcept C2908647359 @default.
• W2892941330 hasConcept C512399662 @default.
• W2892941330 hasConcept C71924100 @default.
• W2892941330 hasConcept C72563966 @default.
• W2892941330 hasConcept C99454951 @default.
• W2892941330 hasConceptScore W2892941330C121608353 @default.
• W2892941330 hasConceptScore W2892941330C126322002 @default.
• W2892941330 hasConceptScore W2892941330C142210648 @default.
• W2892941330 hasConceptScore W2892941330C142724271 @default.
• W2892941330 hasConceptScore W2892941330C2778527826 @default.
• W2892941330 hasConceptScore W2892941330C2779134260 @default.
• W2892941330 hasConceptScore W2892941330C2908647359 @default.
• W2892941330 hasConceptScore W2892941330C512399662 @default.
• W2892941330 hasConceptScore W2892941330C71924100 @default.
• W2892941330 hasConceptScore W2892941330C72563966 @default.
• W2892941330 hasConceptScore W2892941330C99454951 @default.
• W2892941330 hasLocation W28929413301 @default.
• W2892941330 hasOpenAccess W2892941330 @default.
• W2892941330 hasPrimaryLocation W28929413301 @default.
• W2892941330 hasRelatedWork W1598628731 @default.
• W2892941330 hasRelatedWork W1966719227 @default.
• W2892941330 hasRelatedWork W1989229586 @default.
• W2892941330 hasRelatedWork W2009057906 @default.
• W2892941330 hasRelatedWork W2052024448 @default.
• W2892941330 hasRelatedWork W2052482930 @default.
• W2892941330 hasRelatedWork W2615539863 @default.
• W2892941330 hasRelatedWork W2906979207 @default.
• W2892941330 hasRelatedWork W3092870685 @default.
• W2892941330 hasRelatedWork W3093082897 @default.
• W2892941330 isParatext "false" @default.
• W2892941330 isRetracted "false" @default.
• W2892941330 magId "2892941330" @default.
• W2892941330 workType "article" @default.