A Comparison between the Online Prognostic Tool PREDICT and myBeST for Women with Breast Cancer in Malaysia
The PREDICT breast cancer is a well-known online calculator to estimate survival probability. We developed a new prognostic model, myBeST, due to the PREDICT tool's limitations when applied to our patients. This study aims to compare the performance of the two models for women with breast cance...
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| Veröffentlicht in: | Cancers 2023-03, Vol.15 (7), p.2064 |
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| creator | Nik Ab Kadir, Mohd Nasrullah Mohd Hairon, Suhaily Ab Hadi, Imi Sairi Yusof, Siti Norbayah Muhamat, Siti Maryam Yaacob, Najib Majdi |
| description | The PREDICT breast cancer is a well-known online calculator to estimate survival probability. We developed a new prognostic model, myBeST, due to the PREDICT tool's limitations when applied to our patients. This study aims to compare the performance of the two models for women with breast cancer in Malaysia. A total of 532 stage I to III patient records who underwent surgical treatment were analysed. They were diagnosed between 2012 and 2016 in seven centres. We obtained baseline predictors and survival outcomes by reviewing patients' medical records. We compare PREDICT and myBeST tools' discriminant performance using receiver-operating characteristic (ROC) analysis. The five-year observed survival was 80.3% (95% CI: 77.0, 83.7). For this cohort, the median five-year survival probabilities estimated by PREDICT and myBeST were 85.8% and 82.6%, respectively. The area under the ROC curve for five-year survival by myBeST was 0.78 (95% CI: 0.73, 0.82) and for PREDICT was 0.75 (95% CI: 0.70, 0.80). Both tools show good performance, with myBeST marginally outperforms PREDICT discriminant performance. Thus, the new prognostic model is perhaps more suitable for women with breast cancer in Malaysia. |
| doi_str_mv | 10.3390/cancers15072064 |
| format | Article |
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We developed a new prognostic model, myBeST, due to the PREDICT tool's limitations when applied to our patients. This study aims to compare the performance of the two models for women with breast cancer in Malaysia. A total of 532 stage I to III patient records who underwent surgical treatment were analysed. They were diagnosed between 2012 and 2016 in seven centres. We obtained baseline predictors and survival outcomes by reviewing patients' medical records. We compare PREDICT and myBeST tools' discriminant performance using receiver-operating characteristic (ROC) analysis. The five-year observed survival was 80.3% (95% CI: 77.0, 83.7). For this cohort, the median five-year survival probabilities estimated by PREDICT and myBeST were 85.8% and 82.6%, respectively. The area under the ROC curve for five-year survival by myBeST was 0.78 (95% CI: 0.73, 0.82) and for PREDICT was 0.75 (95% CI: 0.70, 0.80). Both tools show good performance, with myBeST marginally outperforms PREDICT discriminant performance. Thus, the new prognostic model is perhaps more suitable for women with breast cancer in Malaysia.</description><identifier>ISSN: 2072-6694</identifier><identifier>EISSN: 2072-6694</identifier><identifier>DOI: 10.3390/cancers15072064</identifier><identifier>PMID: 37046725</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Breast cancer ; Cancer therapies ; Chemotherapy ; Committees ; Ethics ; Lymphatic system ; Medical records ; Minority & ethnic groups ; Mortality ; Patients ; Probability ; Prognosis ; Radiation therapy ; Survival ; Validation studies ; Web services ; Womens health</subject><ispartof>Cancers, 2023-03, Vol.15 (7), p.2064</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 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/). 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We developed a new prognostic model, myBeST, due to the PREDICT tool's limitations when applied to our patients. This study aims to compare the performance of the two models for women with breast cancer in Malaysia. A total of 532 stage I to III patient records who underwent surgical treatment were analysed. They were diagnosed between 2012 and 2016 in seven centres. We obtained baseline predictors and survival outcomes by reviewing patients' medical records. We compare PREDICT and myBeST tools' discriminant performance using receiver-operating characteristic (ROC) analysis. The five-year observed survival was 80.3% (95% CI: 77.0, 83.7). For this cohort, the median five-year survival probabilities estimated by PREDICT and myBeST were 85.8% and 82.6%, respectively. The area under the ROC curve for five-year survival by myBeST was 0.78 (95% CI: 0.73, 0.82) and for PREDICT was 0.75 (95% CI: 0.70, 0.80). Both tools show good performance, with myBeST marginally outperforms PREDICT discriminant performance. Thus, the new prognostic model is perhaps more suitable for women with breast cancer in Malaysia.</description><subject>Breast cancer</subject><subject>Cancer therapies</subject><subject>Chemotherapy</subject><subject>Committees</subject><subject>Ethics</subject><subject>Lymphatic system</subject><subject>Medical records</subject><subject>Minority & ethnic groups</subject><subject>Mortality</subject><subject>Patients</subject><subject>Probability</subject><subject>Prognosis</subject><subject>Radiation therapy</subject><subject>Survival</subject><subject>Validation studies</subject><subject>Web services</subject><subject>Womens health</subject><issn>2072-6694</issn><issn>2072-6694</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptUs9vFCEYJUZjm9qzN0Pixcu2MPyY4WS2Y9UmNW10jUfCMB-71BnYwqzN_veytta2ERL4Au-9j0ceQq8pOWJMkWNrgoWUqSB1RSR_hvarUs2kVPz5g3oPHeZ8RcpgjNayfon2WE24rCuxj37OcRvHtUk-x4A7mG4AAp5WgC_C4APgyxSXIebJW7yIccCXX08_nLULbEKPx-0JfFtgFxP-EcfCu_HTCp8kMHnC7Z_XYR_wFzOYbfbmFXrhzJDh8G4_QN8_ni7az7Pzi09n7fx8Zjln00wBMNJ00AtoOFe0WOukFI51teoZWMmEU1Z2gnbMSlkJAYpz56zpjZV9xw7Q-1vd9aYbobcQpmQGvU5-NGmro_H68U3wK72MvzQlRDFeyaLw7k4hxesN5EmPPlsYBhMgbrKuGkJkWRpaoG-fQK_iJoXiT1e1UkKKhpN_qKUZQPvgYmlsd6J6XnOpKknFru3Rf1Bl9jB6GwM4X84fEY5vCTbFnBO4e5OU6F1G9JOMFMabh39zj_-bCPYbD1y3MQ</recordid><startdate>20230330</startdate><enddate>20230330</enddate><creator>Nik Ab Kadir, Mohd Nasrullah</creator><creator>Mohd Hairon, Suhaily</creator><creator>Ab Hadi, Imi Sairi</creator><creator>Yusof, Siti Norbayah</creator><creator>Muhamat, Siti Maryam</creator><creator>Yaacob, Najib Majdi</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T5</scope><scope>7TO</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6860-1430</orcidid><orcidid>https://orcid.org/0000-0002-4934-0001</orcidid><orcidid>https://orcid.org/0000-0001-7920-9912</orcidid></search><sort><creationdate>20230330</creationdate><title>A Comparison between the Online Prognostic Tool PREDICT and myBeST for Women with Breast Cancer in Malaysia</title><author>Nik Ab Kadir, Mohd Nasrullah ; 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We developed a new prognostic model, myBeST, due to the PREDICT tool's limitations when applied to our patients. This study aims to compare the performance of the two models for women with breast cancer in Malaysia. A total of 532 stage I to III patient records who underwent surgical treatment were analysed. They were diagnosed between 2012 and 2016 in seven centres. We obtained baseline predictors and survival outcomes by reviewing patients' medical records. We compare PREDICT and myBeST tools' discriminant performance using receiver-operating characteristic (ROC) analysis. The five-year observed survival was 80.3% (95% CI: 77.0, 83.7). For this cohort, the median five-year survival probabilities estimated by PREDICT and myBeST were 85.8% and 82.6%, respectively. The area under the ROC curve for five-year survival by myBeST was 0.78 (95% CI: 0.73, 0.82) and for PREDICT was 0.75 (95% CI: 0.70, 0.80). 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| source | MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals; PubMed Central; PubMed Central Open Access |
| subjects | Breast cancer Cancer therapies Chemotherapy Committees Ethics Lymphatic system Medical records Minority & ethnic groups Mortality Patients Probability Prognosis Radiation therapy Survival Validation studies Web services Womens health |
| title | A Comparison between the Online Prognostic Tool PREDICT and myBeST for Women with Breast Cancer in Malaysia |
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