Development and Validation of Case-Finding Algorithms for Digestive Cancer in the Spanish Healthcare Database BIFAP
electronic health records (EHRs) are helpful tools in epidemiology despite not being primarily collected for research. In Spain, primary care physicians play a central role and manage patients even in specialized care. All of this introduces variability that may lead to diagnostic inconsistencies. T...
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| Veröffentlicht in: | Journal of clinical medicine 2024-01, Vol.13 (2), p.361 |
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| creator | Fernández-Antón, Encarnación Rodríguez-Miguel, Antonio Gil, Miguel Castellano-López, Amelia de Abajo, Francisco J |
| description | electronic health records (EHRs) are helpful tools in epidemiology despite not being primarily collected for research. In Spain, primary care physicians play a central role and manage patients even in specialized care. All of this introduces variability that may lead to diagnostic inconsistencies. Therefore, data validation studies are crucial, so we aimed to develop and validate case-finding algorithms for digestive cancer in the primary care database BIFAP.
from 2001 to 2019, subjects aged 40-89 without a cancer history were included. Case-finding algorithms using diagnostic codes and text-mining were built. We randomly sampled, clustered, and manually reviewed 816 EHRs. Then, positive predictive values (PPVs) and 95% confidence intervals (95% CIs) for each cancer were computed. Age and sex standardized incidence rates (SIRs) were compared with those reported by the National Cancer Registry (REDECAN).
we identified 95,672 potential cases. After validation, the PPV (95% CI) for hepato-biliary cancer was 87.6% (81.8-93.4), for esophageal cancer, it was 96.2% (93.1-99.2), for pancreatic cancer, it was 89.4% (84.5-94.3), for gastric cancer, it was 92.5% (88.3-96.6), and for colorectal cancer, it was 95.2% (92.1-98.4). The SIRs were comparable to those reported by the REDECAN.
the case-finding algorithms demonstrated high performance, supporting BIFAP as a suitable source of information to conduct epidemiologic studies of digestive cancer. |
| doi_str_mv | 10.3390/jcm13020361 |
| format | Article |
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from 2001 to 2019, subjects aged 40-89 without a cancer history were included. Case-finding algorithms using diagnostic codes and text-mining were built. We randomly sampled, clustered, and manually reviewed 816 EHRs. Then, positive predictive values (PPVs) and 95% confidence intervals (95% CIs) for each cancer were computed. Age and sex standardized incidence rates (SIRs) were compared with those reported by the National Cancer Registry (REDECAN).
we identified 95,672 potential cases. After validation, the PPV (95% CI) for hepato-biliary cancer was 87.6% (81.8-93.4), for esophageal cancer, it was 96.2% (93.1-99.2), for pancreatic cancer, it was 89.4% (84.5-94.3), for gastric cancer, it was 92.5% (88.3-96.6), and for colorectal cancer, it was 95.2% (92.1-98.4). The SIRs were comparable to those reported by the REDECAN.
the case-finding algorithms demonstrated high performance, supporting BIFAP as a suitable source of information to conduct epidemiologic studies of digestive cancer.</description><identifier>ISSN: 2077-0383</identifier><identifier>EISSN: 2077-0383</identifier><identifier>DOI: 10.3390/jcm13020361</identifier><identifier>PMID: 38256495</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Algorithms ; Cancer ; Codes ; Colorectal cancer ; Data mining ; Dictionaries ; Digestive system cancer ; Electronic health records ; Electronic records ; Epidemiology ; Esophagus ; Hospitals ; Information sources ; Medical diagnosis ; Medical research ; Medical technology ; Methods ; Oncology, Experimental ; Pediatrics ; Personal information ; Physicians ; Population ; Primary care ; Skin cancer ; Validation studies ; Validity</subject><ispartof>Journal of clinical medicine, 2024-01, Vol.13 (2), p.361</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c379t-cda265b50b7cf1d1d3376e130725ca3cf8cdf8c542b5323f4801a0e1a2a5aa4e3</cites><orcidid>0000-0001-9119-8646 ; 0000-0003-0799-1612</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38256495$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fernández-Antón, Encarnación</creatorcontrib><creatorcontrib>Rodríguez-Miguel, Antonio</creatorcontrib><creatorcontrib>Gil, Miguel</creatorcontrib><creatorcontrib>Castellano-López, Amelia</creatorcontrib><creatorcontrib>de Abajo, Francisco J</creatorcontrib><title>Development and Validation of Case-Finding Algorithms for Digestive Cancer in the Spanish Healthcare Database BIFAP</title><title>Journal of clinical medicine</title><addtitle>J Clin Med</addtitle><description>electronic health records (EHRs) are helpful tools in epidemiology despite not being primarily collected for research. In Spain, primary care physicians play a central role and manage patients even in specialized care. All of this introduces variability that may lead to diagnostic inconsistencies. Therefore, data validation studies are crucial, so we aimed to develop and validate case-finding algorithms for digestive cancer in the primary care database BIFAP.
from 2001 to 2019, subjects aged 40-89 without a cancer history were included. Case-finding algorithms using diagnostic codes and text-mining were built. We randomly sampled, clustered, and manually reviewed 816 EHRs. Then, positive predictive values (PPVs) and 95% confidence intervals (95% CIs) for each cancer were computed. Age and sex standardized incidence rates (SIRs) were compared with those reported by the National Cancer Registry (REDECAN).
we identified 95,672 potential cases. After validation, the PPV (95% CI) for hepato-biliary cancer was 87.6% (81.8-93.4), for esophageal cancer, it was 96.2% (93.1-99.2), for pancreatic cancer, it was 89.4% (84.5-94.3), for gastric cancer, it was 92.5% (88.3-96.6), and for colorectal cancer, it was 95.2% (92.1-98.4). The SIRs were comparable to those reported by the REDECAN.
the case-finding algorithms demonstrated high performance, supporting BIFAP as a suitable source of information to conduct epidemiologic studies of digestive cancer.</description><subject>Algorithms</subject><subject>Cancer</subject><subject>Codes</subject><subject>Colorectal cancer</subject><subject>Data mining</subject><subject>Dictionaries</subject><subject>Digestive system cancer</subject><subject>Electronic health records</subject><subject>Electronic records</subject><subject>Epidemiology</subject><subject>Esophagus</subject><subject>Hospitals</subject><subject>Information sources</subject><subject>Medical diagnosis</subject><subject>Medical research</subject><subject>Medical technology</subject><subject>Methods</subject><subject>Oncology, Experimental</subject><subject>Pediatrics</subject><subject>Personal information</subject><subject>Physicians</subject><subject>Population</subject><subject>Primary care</subject><subject>Skin cancer</subject><subject>Validation studies</subject><subject>Validity</subject><issn>2077-0383</issn><issn>2077-0383</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptkVtrGzEQhUVpaEKSp74XQV8KYVNddlfyo2vHSSDQQi-vy6x2ZMvsSq4kB_rvK5MLSakGoUF8czjSIeQ9Z5dSztjnrZm4ZILJlr8hJ4IpVTGp5dsX_TE5T2nLytK6Fly9I8dSi6atZ80JSUu8xzHsJvSZgh_oLxjdANkFT4OlC0hYrZwfnF_T-bgO0eXNlKgNkS7dGlN291gobzBS52neIP2-A-_Sht4gjHljICJdQoa-SNEvt6v5tzNyZGFMeP54npKfq6sfi5vq7uv17WJ-VxmpZrkyA4i26RvWK2P5wAcpVYvltUo0BqSx2gxlN7XoGymkrTXjwJCDgAagRnlKPj3o7mL4vS9eu8klg-MIHsM-dWLGlW4153VBP_6DbsM--uLuQGml6rr88TO1hhE7523IEcxBtJsrzQrG9YG6_A9VasDJmeDRunL_auDiYcDEkFJE2-2imyD-6TjrDil3L1Iu9IdHq_t-wuGZfcpU_gV-a5-r</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Fernández-Antón, Encarnación</creator><creator>Rodríguez-Miguel, Antonio</creator><creator>Gil, Miguel</creator><creator>Castellano-López, Amelia</creator><creator>de Abajo, Francisco J</creator><general>MDPI AG</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-9119-8646</orcidid><orcidid>https://orcid.org/0000-0003-0799-1612</orcidid></search><sort><creationdate>20240101</creationdate><title>Development and Validation of Case-Finding Algorithms for Digestive Cancer in the Spanish Healthcare Database BIFAP</title><author>Fernández-Antón, Encarnación ; Rodríguez-Miguel, Antonio ; Gil, Miguel ; Castellano-López, Amelia ; de Abajo, Francisco J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c379t-cda265b50b7cf1d1d3376e130725ca3cf8cdf8c542b5323f4801a0e1a2a5aa4e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>Cancer</topic><topic>Codes</topic><topic>Colorectal cancer</topic><topic>Data mining</topic><topic>Dictionaries</topic><topic>Digestive system cancer</topic><topic>Electronic health records</topic><topic>Electronic records</topic><topic>Epidemiology</topic><topic>Esophagus</topic><topic>Hospitals</topic><topic>Information sources</topic><topic>Medical diagnosis</topic><topic>Medical research</topic><topic>Medical technology</topic><topic>Methods</topic><topic>Oncology, Experimental</topic><topic>Pediatrics</topic><topic>Personal information</topic><topic>Physicians</topic><topic>Population</topic><topic>Primary care</topic><topic>Skin cancer</topic><topic>Validation studies</topic><topic>Validity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fernández-Antón, Encarnación</creatorcontrib><creatorcontrib>Rodríguez-Miguel, Antonio</creatorcontrib><creatorcontrib>Gil, Miguel</creatorcontrib><creatorcontrib>Castellano-López, Amelia</creatorcontrib><creatorcontrib>de Abajo, Francisco J</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of clinical medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fernández-Antón, Encarnación</au><au>Rodríguez-Miguel, Antonio</au><au>Gil, Miguel</au><au>Castellano-López, Amelia</au><au>de Abajo, Francisco J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development and Validation of Case-Finding Algorithms for Digestive Cancer in the Spanish Healthcare Database BIFAP</atitle><jtitle>Journal of clinical medicine</jtitle><addtitle>J Clin Med</addtitle><date>2024-01-01</date><risdate>2024</risdate><volume>13</volume><issue>2</issue><spage>361</spage><pages>361-</pages><issn>2077-0383</issn><eissn>2077-0383</eissn><abstract>electronic health records (EHRs) are helpful tools in epidemiology despite not being primarily collected for research. In Spain, primary care physicians play a central role and manage patients even in specialized care. All of this introduces variability that may lead to diagnostic inconsistencies. Therefore, data validation studies are crucial, so we aimed to develop and validate case-finding algorithms for digestive cancer in the primary care database BIFAP.
from 2001 to 2019, subjects aged 40-89 without a cancer history were included. Case-finding algorithms using diagnostic codes and text-mining were built. We randomly sampled, clustered, and manually reviewed 816 EHRs. Then, positive predictive values (PPVs) and 95% confidence intervals (95% CIs) for each cancer were computed. Age and sex standardized incidence rates (SIRs) were compared with those reported by the National Cancer Registry (REDECAN).
we identified 95,672 potential cases. After validation, the PPV (95% CI) for hepato-biliary cancer was 87.6% (81.8-93.4), for esophageal cancer, it was 96.2% (93.1-99.2), for pancreatic cancer, it was 89.4% (84.5-94.3), for gastric cancer, it was 92.5% (88.3-96.6), and for colorectal cancer, it was 95.2% (92.1-98.4). The SIRs were comparable to those reported by the REDECAN.
the case-finding algorithms demonstrated high performance, supporting BIFAP as a suitable source of information to conduct epidemiologic studies of digestive cancer.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>38256495</pmid><doi>10.3390/jcm13020361</doi><orcidid>https://orcid.org/0000-0001-9119-8646</orcidid><orcidid>https://orcid.org/0000-0003-0799-1612</orcidid><oa>free_for_read</oa></addata></record> |
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| source | PubMed Central Open Access; MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals; PubMed Central |
| subjects | Algorithms Cancer Codes Colorectal cancer Data mining Dictionaries Digestive system cancer Electronic health records Electronic records Epidemiology Esophagus Hospitals Information sources Medical diagnosis Medical research Medical technology Methods Oncology, Experimental Pediatrics Personal information Physicians Population Primary care Skin cancer Validation studies Validity |
| title | Development and Validation of Case-Finding Algorithms for Digestive Cancer in the Spanish Healthcare Database BIFAP |
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