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Validity of breast, lung and colorectal cancer diagnoses in administrative databases: a systematic review protocol
INTRODUCTION: Breast, lung and colorectal cancers constitute the most common cancers worldwide and their epidemiology, related health outcomes and quality indicators can be studied using administrative healthcare databases. To constitute a reliable source for research, administrative healthcare data...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4800131/ https://www.ncbi.nlm.nih.gov/pubmed/26993624 http://dx.doi.org/10.1136/bmjopen-2015-010409 |
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author | Abraha, Iosief Giovannini, Gianni Serraino, Diego Fusco, Mario Montedori, Alessandro |
author_facet | Abraha, Iosief Giovannini, Gianni Serraino, Diego Fusco, Mario Montedori, Alessandro |
author_sort | Abraha, Iosief |
collection | PubMed |
description | INTRODUCTION: Breast, lung and colorectal cancers constitute the most common cancers worldwide and their epidemiology, related health outcomes and quality indicators can be studied using administrative healthcare databases. To constitute a reliable source for research, administrative healthcare databases need to be validated. The aim of this protocol is to perform the first systematic review of studies reporting the validation of International Classification of Diseases 9th and 10th revision codes to identify breast, lung and colorectal cancer diagnoses in administrative healthcare databases. METHODS AND ANALYSIS: This review protocol has been developed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocol (PRISMA-P) 2015 statement. We will search the following databases: MEDLINE, EMBASE, Web of Science and the Cochrane Library, using appropriate search strategies. We will include validation studies that used administrative data to identify breast, lung and colorectal cancer diagnoses or studies that evaluated the validity of breast, lung and colorectal cancer codes in administrative data. The following inclusion criteria will be used: (1) the presence of a reference standard case definition for the disease of interest; (2) the presence of at least one test measure (eg, sensitivity, positive predictive values, etc) and (3) the use of data source from an administrative database. Pairs of reviewers will independently abstract data using standardised forms and will assess quality using a checklist based on the Standards for Reporting of Diagnostic accuracy (STARD) criteria. ETHICS AND DISSEMINATION: Ethics approval is not required. We will submit results of this study to a peer-reviewed journal for publication. The results will serve as a guide to identify appropriate case definitions and algorithms of breast, lung and colorectal cancers for researchers involved in validating administrative healthcare databases as well as for outcome research on these conditions that used administrative healthcare databases. TRIAL REGISTRATION NUMBER: CRD42015026881. |
format | Online Article Text |
id | pubmed-4800131 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48001312016-03-29 Validity of breast, lung and colorectal cancer diagnoses in administrative databases: a systematic review protocol Abraha, Iosief Giovannini, Gianni Serraino, Diego Fusco, Mario Montedori, Alessandro BMJ Open Oncology INTRODUCTION: Breast, lung and colorectal cancers constitute the most common cancers worldwide and their epidemiology, related health outcomes and quality indicators can be studied using administrative healthcare databases. To constitute a reliable source for research, administrative healthcare databases need to be validated. The aim of this protocol is to perform the first systematic review of studies reporting the validation of International Classification of Diseases 9th and 10th revision codes to identify breast, lung and colorectal cancer diagnoses in administrative healthcare databases. METHODS AND ANALYSIS: This review protocol has been developed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocol (PRISMA-P) 2015 statement. We will search the following databases: MEDLINE, EMBASE, Web of Science and the Cochrane Library, using appropriate search strategies. We will include validation studies that used administrative data to identify breast, lung and colorectal cancer diagnoses or studies that evaluated the validity of breast, lung and colorectal cancer codes in administrative data. The following inclusion criteria will be used: (1) the presence of a reference standard case definition for the disease of interest; (2) the presence of at least one test measure (eg, sensitivity, positive predictive values, etc) and (3) the use of data source from an administrative database. Pairs of reviewers will independently abstract data using standardised forms and will assess quality using a checklist based on the Standards for Reporting of Diagnostic accuracy (STARD) criteria. ETHICS AND DISSEMINATION: Ethics approval is not required. We will submit results of this study to a peer-reviewed journal for publication. The results will serve as a guide to identify appropriate case definitions and algorithms of breast, lung and colorectal cancers for researchers involved in validating administrative healthcare databases as well as for outcome research on these conditions that used administrative healthcare databases. TRIAL REGISTRATION NUMBER: CRD42015026881. BMJ Publishing Group 2016-03-18 /pmc/articles/PMC4800131/ /pubmed/26993624 http://dx.doi.org/10.1136/bmjopen-2015-010409 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ 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 Abraha, Iosief Giovannini, Gianni Serraino, Diego Fusco, Mario Montedori, Alessandro Validity of breast, lung and colorectal cancer diagnoses in administrative databases: a systematic review protocol |
title | Validity of breast, lung and colorectal cancer diagnoses in administrative databases: a systematic review protocol |
title_full | Validity of breast, lung and colorectal cancer diagnoses in administrative databases: a systematic review protocol |
title_fullStr | Validity of breast, lung and colorectal cancer diagnoses in administrative databases: a systematic review protocol |
title_full_unstemmed | Validity of breast, lung and colorectal cancer diagnoses in administrative databases: a systematic review protocol |
title_short | Validity of breast, lung and colorectal cancer diagnoses in administrative databases: a systematic review protocol |
title_sort | validity of breast, lung and colorectal cancer diagnoses in administrative databases: a systematic review protocol |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4800131/ https://www.ncbi.nlm.nih.gov/pubmed/26993624 http://dx.doi.org/10.1136/bmjopen-2015-010409 |
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