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Accuracy of colorectal cancer ICD-9-CM codes in Italian administrative healthcare databases: a cross-sectional diagnostic study
Objectives To assess the accuracy of International Classification of Diseases, Ninth Revision – Clinical Modification (ICD-9-CM) codes in identifying subjects with colorectal cancer. DESIGN: A diagnostic accuracy study comparing ICD-9-CM codes (index test) for colorectal cancers with medical chart (...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6042611/ https://www.ncbi.nlm.nih.gov/pubmed/29980543 http://dx.doi.org/10.1136/bmjopen-2017-020630 |
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author | Cozzolino, Francesco Bidoli, Ettore Abraha, Iosief Fusco, Mario Giovannini, Gianni Casucci, Paola Orso, Massimiliano Granata, Annalisa De Giorgi, Marcello Collarile, Paolo Ciullo, Valerio Vitale, Maria Francesca Cirocchi, Roberto Orlandi, Walter Serraino, Diego Montedori, Alessandro |
author_facet | Cozzolino, Francesco Bidoli, Ettore Abraha, Iosief Fusco, Mario Giovannini, Gianni Casucci, Paola Orso, Massimiliano Granata, Annalisa De Giorgi, Marcello Collarile, Paolo Ciullo, Valerio Vitale, Maria Francesca Cirocchi, Roberto Orlandi, Walter Serraino, Diego Montedori, Alessandro |
author_sort | Cozzolino, Francesco |
collection | PubMed |
description | Objectives To assess the accuracy of International Classification of Diseases, Ninth Revision – Clinical Modification (ICD-9-CM) codes in identifying subjects with colorectal cancer. DESIGN: A diagnostic accuracy study comparing ICD-9-CM codes (index test) for colorectal cancers with medical chart (as a reference standard). Case ascertainment based on neoplastic lesion(s) within the colon/rectum and histological documentation from a primary or metastatic site positive for colorectal cancer. SETTING: Administrative databases from the Umbria region, Azienda Sanitaria Locale (ASL) Napoli 3 Sud (NA) region and Friuli Venezia Giulia (FVG) region. PARTICIPANTS: We randomly selected 130 incident patients from each hospital discharge database, admitted between 2012 and 2014, having colorectal cancer ICD-9 codes located in primary position, and 94 non-cases, that is, patients having a diagnosis of cancer (ICD-9 140–239) other than colorectal cancer in primary position. OUTCOME MEASURES: Sensitivity, specificity and predictive values for 153.x code (colon cancer) and for 154.x code (rectal cancer). RESULTS: The positive predictive value (PPV) for colon cancer diagnoses was 80% for Umbria (95% CI 73% to 87%), 81% for NA (95% CI 73% to 88%) and 80% for FVG (95% CI 72% to 87%). The sensitivity ranged from 98% to 99%, while the specificity ranged from 78% to 80% in the three units. For rectal cancer, the PPV was 84% for Umbria (95% CI 77% to 90%), 80% for NA (95% CI 72% to 87%) and 81% for FVG (95% CI 73% to 87%). The sensitivities ranged from 98% to 100%, while the specificity estimates from 79% to 82%. CONCLUSIONS: Administrative databases in Italy can be a valuable tool for cancer surveillance as well as monitoring geographical and temporal variation of cancer practice. |
format | Online Article Text |
id | pubmed-6042611 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-60426112018-07-16 Accuracy of colorectal cancer ICD-9-CM codes in Italian administrative healthcare databases: a cross-sectional diagnostic study Cozzolino, Francesco Bidoli, Ettore Abraha, Iosief Fusco, Mario Giovannini, Gianni Casucci, Paola Orso, Massimiliano Granata, Annalisa De Giorgi, Marcello Collarile, Paolo Ciullo, Valerio Vitale, Maria Francesca Cirocchi, Roberto Orlandi, Walter Serraino, Diego Montedori, Alessandro BMJ Open Oncology Objectives To assess the accuracy of International Classification of Diseases, Ninth Revision – Clinical Modification (ICD-9-CM) codes in identifying subjects with colorectal cancer. DESIGN: A diagnostic accuracy study comparing ICD-9-CM codes (index test) for colorectal cancers with medical chart (as a reference standard). Case ascertainment based on neoplastic lesion(s) within the colon/rectum and histological documentation from a primary or metastatic site positive for colorectal cancer. SETTING: Administrative databases from the Umbria region, Azienda Sanitaria Locale (ASL) Napoli 3 Sud (NA) region and Friuli Venezia Giulia (FVG) region. PARTICIPANTS: We randomly selected 130 incident patients from each hospital discharge database, admitted between 2012 and 2014, having colorectal cancer ICD-9 codes located in primary position, and 94 non-cases, that is, patients having a diagnosis of cancer (ICD-9 140–239) other than colorectal cancer in primary position. OUTCOME MEASURES: Sensitivity, specificity and predictive values for 153.x code (colon cancer) and for 154.x code (rectal cancer). RESULTS: The positive predictive value (PPV) for colon cancer diagnoses was 80% for Umbria (95% CI 73% to 87%), 81% for NA (95% CI 73% to 88%) and 80% for FVG (95% CI 72% to 87%). The sensitivity ranged from 98% to 99%, while the specificity ranged from 78% to 80% in the three units. For rectal cancer, the PPV was 84% for Umbria (95% CI 77% to 90%), 80% for NA (95% CI 72% to 87%) and 81% for FVG (95% CI 73% to 87%). The sensitivities ranged from 98% to 100%, while the specificity estimates from 79% to 82%. CONCLUSIONS: Administrative databases in Italy can be a valuable tool for cancer surveillance as well as monitoring geographical and temporal variation of cancer practice. BMJ Publishing Group 2018-07-05 /pmc/articles/PMC6042611/ /pubmed/29980543 http://dx.doi.org/10.1136/bmjopen-2017-020630 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Oncology Cozzolino, Francesco Bidoli, Ettore Abraha, Iosief Fusco, Mario Giovannini, Gianni Casucci, Paola Orso, Massimiliano Granata, Annalisa De Giorgi, Marcello Collarile, Paolo Ciullo, Valerio Vitale, Maria Francesca Cirocchi, Roberto Orlandi, Walter Serraino, Diego Montedori, Alessandro Accuracy of colorectal cancer ICD-9-CM codes in Italian administrative healthcare databases: a cross-sectional diagnostic study |
title | Accuracy of colorectal cancer ICD-9-CM codes in Italian administrative healthcare databases: a cross-sectional diagnostic study |
title_full | Accuracy of colorectal cancer ICD-9-CM codes in Italian administrative healthcare databases: a cross-sectional diagnostic study |
title_fullStr | Accuracy of colorectal cancer ICD-9-CM codes in Italian administrative healthcare databases: a cross-sectional diagnostic study |
title_full_unstemmed | Accuracy of colorectal cancer ICD-9-CM codes in Italian administrative healthcare databases: a cross-sectional diagnostic study |
title_short | Accuracy of colorectal cancer ICD-9-CM codes in Italian administrative healthcare databases: a cross-sectional diagnostic study |
title_sort | accuracy of colorectal cancer icd-9-cm codes in italian administrative healthcare databases: a cross-sectional diagnostic study |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6042611/ https://www.ncbi.nlm.nih.gov/pubmed/29980543 http://dx.doi.org/10.1136/bmjopen-2017-020630 |
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