Literature DB >> 17452020

Comparison with manual registration reveals satisfactory completeness and efficiency of a computerized cancer registration system.

Paolo Contiero1, Andrea Tittarelli, Anna Maghini, Sabrina Fabiano, Emanuela Frassoldi, Enrica Costa, Daniela Gada, Tiziana Codazzi, Paolo Crosignani, Roberto Tessandori, Giovanna Tagliabue.   

Abstract

Automated software for cancer registration, called Open Registry and developed by ourselves was adopted by the Varese (population-based) Cancer Registry starting from 1997. Since the use of automated cancer registration is increasing, it is important to assess the quality and completeness of the automated data being produced. In this study, we assessed the completeness of the automatically generated data by comparison with a gold standard of all cases identified by manual and automatic systems for the year 1997 when the automated system was introduced, and the manual system was still in operation. We also evaluated the efficiency of the automated system. 5027 cases were generated automatically; 2959 (59%) were accepted automatically and 2068 (41%) were flagged for manual checking. Sixty-nine cases (1.3%) were not recorded automatically, the most common reason (0.8%) being that the incidence record was dated 1998, even though the case was incident in 1997. A total of 98.7% of all cases found were picked up by the automated system. A completeness figure of 98.7% indicates that the automatic procedure is a valid alternative to manual methods for routine case generation. The fact that 59% of cases were registered automatically indicates that the system can speed up data production and enhance registry efficiency.

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Year:  2007        PMID: 17452020     DOI: 10.1016/j.jbi.2007.03.003

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  9 in total

1.  Automated Cancer Registry Notifications: Validation of a Medical Text Analytics System for Identifying Patients with Cancer from a State-Wide Pathology Repository.

Authors:  Anthony N Nguyen; Julie Moore; John O'Dwyer; Shoni Philpot
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

2.  Micronutrients Involved in One-Carbon Metabolism and Risk of Breast Cancer Subtypes.

Authors:  Ilaria Cancarini; Vittorio Krogh; Claudia Agnoli; Sara Grioni; Giuseppe Matullo; Valeria Pala; Samuele Pedraglio; Paolo Contiero; Cristina Riva; Paola Muti; Sabina Sieri
Journal:  PLoS One       Date:  2015-09-16       Impact factor: 3.240

3.  Atmospheric fine particulate matter and breast cancer mortality: a population-based cohort study.

Authors:  Giovanna Tagliabue; Alessandro Borgini; Andrea Tittarelli; Aaron van Donkelaar; Randall V Martin; Martina Bertoldi; Sabrina Fabiano; Anna Maghini; Tiziana Codazzi; Alessandra Scaburri; Imma Favia; Alessandro Cau; Giulio Barigelletti; Roberto Tessandori; Paolo Contiero
Journal:  BMJ Open       Date:  2016-11-14       Impact factor: 2.692

4.  Building a model for disease classification integration in oncology, an approach based on the national cancer institute thesaurus.

Authors:  Vianney Jouhet; Fleur Mougin; Bérénice Bréchat; Frantz Thiessard
Journal:  J Biomed Semantics       Date:  2017-02-07

5.  Descriptive epidemiology of selected birth defects, areas of Lombardy, Italy, 1999.

Authors:  Giovanna Tagliabue; Roberto Tessandori; Fausta Caramaschi; Sabrina Fabiano; Anna Maghini; Andrea Tittarelli; Daniele Vergani; Maria Bellotti; Salvatore Pisani; Maria Letizia Gambino; Emanuela Frassoldi; Enrica Costa; Daniela Gada; Paolo Crosignani; Paolo Contiero
Journal:  Popul Health Metr       Date:  2007-05-25

6.  Dietary Total Antioxidant Capacity and Colorectal Cancer in the Italian EPIC Cohort.

Authors:  Marilena Monica Vece; Claudia Agnoli; Sara Grioni; Sabina Sieri; Valeria Pala; Nicoletta Pellegrini; Graziella Frasca; Rosario Tumino; Amalia Mattiello; Salvatore Panico; Benedetta Bendinelli; Giovanna Masala; Fulvio Ricceri; Carlotta Sacerdote; Vittorio Krogh
Journal:  PLoS One       Date:  2015-11-13       Impact factor: 3.240

7.  Type 1 plasminogen activator inhibitor as a common risk factor for cancer and ischaemic vascular disease: the EPICOR study.

Authors:  Licia Iacoviello; Claudia Agnoli; Amalia De Curtis; Augusto di Castelnuovo; Maria Concetta Giurdanella; Vittorio Krogh; Amalia Mattiello; Giuseppe Matullo; Carlotta Sacerdote; Rosario Tumino; Paolo Vineis; Giovanni de Gaetano; Salvatore Panico; Maria Benedetta Donati
Journal:  BMJ Open       Date:  2013-11-14       Impact factor: 2.692

8.  The incidence of renal cancer in Polish National Cancer Registry: is there any epidemiological data we can rely on?

Authors:  Piotr Zygmunt Wojcieszak; Sławomir Poletajew; Daniel Rutkowski; Piotr Radziszewski
Journal:  Cent European J Urol       Date:  2014-08-18

9.  Data Reliability and Coding Completeness of Cancer Registry Information Using Reabstracting Method in the National Cancer Institute: Thailand, 2012 to 2014.

Authors:  Anupong Sirirungreung; Rangsiya Buasom; Chuleeporn Jiraphongsa; Suleeporn Sangrajrang
Journal:  J Glob Oncol       Date:  2018-09
  9 in total

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