Cargando…

Quality control on digital cancer registration

Population-based cancer registration methods are subject to internationally-established rules. To ensure efficient and effective case recording, population-based cancer registries widely adopt digital processing (DP) methods. At the Veneto Tumor Registry (RTV), about 50% of all digitally-identified...

Descripción completa

Detalles Bibliográficos
Autores principales: Guzzinati, Stefano, Battagello, Jessica, Bovo, Emanuela, Baracco, Maddalena, Baracco, Susanna, Carpin, Eva, Dal Cin, Antonella, Fiore, Anna Rita, Greco, Alessandra, Martin, Giancarla, memo, Laura, Monetti, Daniele, Rizzato, Silvia, Stocco, Carmen, Zamberlan, Sara, Zorzi, Manuel, Rugge, Massimo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778557/
https://www.ncbi.nlm.nih.gov/pubmed/36548228
http://dx.doi.org/10.1371/journal.pone.0279415
_version_ 1784856391763099648
author Guzzinati, Stefano
Battagello, Jessica
Bovo, Emanuela
Baracco, Maddalena
Baracco, Susanna
Carpin, Eva
Dal Cin, Antonella
Fiore, Anna Rita
Greco, Alessandra
Martin, Giancarla
memo, Laura
Monetti, Daniele
Rizzato, Silvia
Stocco, Carmen
Zamberlan, Sara
Zorzi, Manuel
Rugge, Massimo
author_facet Guzzinati, Stefano
Battagello, Jessica
Bovo, Emanuela
Baracco, Maddalena
Baracco, Susanna
Carpin, Eva
Dal Cin, Antonella
Fiore, Anna Rita
Greco, Alessandra
Martin, Giancarla
memo, Laura
Monetti, Daniele
Rizzato, Silvia
Stocco, Carmen
Zamberlan, Sara
Zorzi, Manuel
Rugge, Massimo
author_sort Guzzinati, Stefano
collection PubMed
description Population-based cancer registration methods are subject to internationally-established rules. To ensure efficient and effective case recording, population-based cancer registries widely adopt digital processing (DP) methods. At the Veneto Tumor Registry (RTV), about 50% of all digitally-identified (putative) cases of cancer are further profiled by means of registrars’ assessments (RAs). Taking these RAs for reference, the present study examines how well the registry’s DP performs. A series of 1,801 (putative) incident and prevalent cancers identified using DP methods were randomly assigned to two experienced registrars (blinded to the DP output), who independently re-assessed every case. This study focuses on the concordance between the DP output and the RAs as concerns cancer status (incident versus prevalent), topography, and morphology. The RAs confirmed the cancer status emerging from DP for 1,266/1,317 incident cancers (positive predictive value [PPV] = 96.1%) and 460/472 prevalent cancers (PPV = 97.5%). This level of concordance ranks as “optimal”, with a Cohen’s K value of 0.91. The overall prevalence of false-positive cancer cases identified by DP was 2.9%, and was affected by the number of digital variables available. DP and the RAs were consistent in identifying cancer topography in 88.7% of cases; differences concerned different sites within the same anatomo-functional district (according to the International Agency for Research on Cancer [IARC]) in 9.6% of cases. In short, using DP for cancer case registration suffers from only trivial inconsistencies. The efficiency and reliability of digital cancer registration is influenced by the availability of good-quality clinical information, and the regular interdisciplinary monitoring of a registry’s DP performance.
format Online
Article
Text
id pubmed-9778557
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-97785572022-12-23 Quality control on digital cancer registration Guzzinati, Stefano Battagello, Jessica Bovo, Emanuela Baracco, Maddalena Baracco, Susanna Carpin, Eva Dal Cin, Antonella Fiore, Anna Rita Greco, Alessandra Martin, Giancarla memo, Laura Monetti, Daniele Rizzato, Silvia Stocco, Carmen Zamberlan, Sara Zorzi, Manuel Rugge, Massimo PLoS One Research Article Population-based cancer registration methods are subject to internationally-established rules. To ensure efficient and effective case recording, population-based cancer registries widely adopt digital processing (DP) methods. At the Veneto Tumor Registry (RTV), about 50% of all digitally-identified (putative) cases of cancer are further profiled by means of registrars’ assessments (RAs). Taking these RAs for reference, the present study examines how well the registry’s DP performs. A series of 1,801 (putative) incident and prevalent cancers identified using DP methods were randomly assigned to two experienced registrars (blinded to the DP output), who independently re-assessed every case. This study focuses on the concordance between the DP output and the RAs as concerns cancer status (incident versus prevalent), topography, and morphology. The RAs confirmed the cancer status emerging from DP for 1,266/1,317 incident cancers (positive predictive value [PPV] = 96.1%) and 460/472 prevalent cancers (PPV = 97.5%). This level of concordance ranks as “optimal”, with a Cohen’s K value of 0.91. The overall prevalence of false-positive cancer cases identified by DP was 2.9%, and was affected by the number of digital variables available. DP and the RAs were consistent in identifying cancer topography in 88.7% of cases; differences concerned different sites within the same anatomo-functional district (according to the International Agency for Research on Cancer [IARC]) in 9.6% of cases. In short, using DP for cancer case registration suffers from only trivial inconsistencies. The efficiency and reliability of digital cancer registration is influenced by the availability of good-quality clinical information, and the regular interdisciplinary monitoring of a registry’s DP performance. Public Library of Science 2022-12-22 /pmc/articles/PMC9778557/ /pubmed/36548228 http://dx.doi.org/10.1371/journal.pone.0279415 Text en © 2022 Guzzinati et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Guzzinati, Stefano
Battagello, Jessica
Bovo, Emanuela
Baracco, Maddalena
Baracco, Susanna
Carpin, Eva
Dal Cin, Antonella
Fiore, Anna Rita
Greco, Alessandra
Martin, Giancarla
memo, Laura
Monetti, Daniele
Rizzato, Silvia
Stocco, Carmen
Zamberlan, Sara
Zorzi, Manuel
Rugge, Massimo
Quality control on digital cancer registration
title Quality control on digital cancer registration
title_full Quality control on digital cancer registration
title_fullStr Quality control on digital cancer registration
title_full_unstemmed Quality control on digital cancer registration
title_short Quality control on digital cancer registration
title_sort quality control on digital cancer registration
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778557/
https://www.ncbi.nlm.nih.gov/pubmed/36548228
http://dx.doi.org/10.1371/journal.pone.0279415
work_keys_str_mv AT guzzinatistefano qualitycontrolondigitalcancerregistration
AT battagellojessica qualitycontrolondigitalcancerregistration
AT bovoemanuela qualitycontrolondigitalcancerregistration
AT baraccomaddalena qualitycontrolondigitalcancerregistration
AT baraccosusanna qualitycontrolondigitalcancerregistration
AT carpineva qualitycontrolondigitalcancerregistration
AT dalcinantonella qualitycontrolondigitalcancerregistration
AT fioreannarita qualitycontrolondigitalcancerregistration
AT grecoalessandra qualitycontrolondigitalcancerregistration
AT martingiancarla qualitycontrolondigitalcancerregistration
AT memolaura qualitycontrolondigitalcancerregistration
AT monettidaniele qualitycontrolondigitalcancerregistration
AT rizzatosilvia qualitycontrolondigitalcancerregistration
AT stoccocarmen qualitycontrolondigitalcancerregistration
AT zamberlansara qualitycontrolondigitalcancerregistration
AT zorzimanuel qualitycontrolondigitalcancerregistration
AT ruggemassimo qualitycontrolondigitalcancerregistration