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Stratifying non-small cell lung cancer patients using an inverse of the treatment decision rules: validation using electronic health records with application to an administrative database
DC Field | Value | Language |
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dc.contributor.author | 박유랑 | - |
dc.date.accessioned | 2024-03-22T06:15:23Z | - |
dc.date.available | 2024-03-22T06:15:23Z | - |
dc.date.issued | 2023-01 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/198481 | - |
dc.description.abstract | Background: To validate a stratification method using an inverse of treatment decision rules that can classify non-small cell lung cancer (NSCLC) patients in real-world treatment records. Methods: (1) To validate the index classifier against the TNM 7th edition, we analyzed electronic health records of NSCLC patients diagnosed from 2011 to 2015 in a tertiary referral hospital in Seoul, Korea. Predictive accuracy, stage-specific sensitivity, specificity, positive predictive value, negative predictive value, F1 score, and c-statistic were measured. (2) To apply the index classifier in an administrative database, we analyzed NSCLC patients in Korean National Health Insurance Database, 2002–2013. Differential survival rates among the classes were examined with the log-rank test, and class-specific survival rates were compared with the reference survival rates. Results: (1) In the validation study (N = 1375), the overall accuracy was 93.8% (95% CI: 92.5–95.0%). Stage-specific c-statistic was the highest for stage I (0.97, 95% CI: 0.96–0.98) and the lowest for stage III (0.82, 95% CI: 0.77–0.87). (2) In the application study (N = 71,593), the index classifier showed a tendency for differentiating survival probabilities among classes. Compared to the reference TNM survival rates, the index classification under-estimated the survival probability for stages IA, IIIB, and IV, and over-estimated it for stages IIA and IIB. Conclusion: The inverse of the treatment decision rules has a potential to supplement a routinely collected database with information encoded in the treatment decision rules to classify NSCLC patients. It requires further validation and replication in multiple clinical settings. © 2023, The Author(s). | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | BioMed Central | - |
dc.relation.isPartOf | BMC MEDICAL INFORMATICS AND DECISION MAKING | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Carcinoma, Non-Small-Cell Lung* | - |
dc.subject.MESH | Electronic Health Records | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Lung Neoplasms* / diagnosis | - |
dc.subject.MESH | Lung Neoplasms* / therapy | - |
dc.subject.MESH | Neoplasm Staging | - |
dc.subject.MESH | Prognosis | - |
dc.subject.MESH | Retrospective Studies | - |
dc.title | Stratifying non-small cell lung cancer patients using an inverse of the treatment decision rules: validation using electronic health records with application to an administrative database | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) | - |
dc.contributor.googleauthor | Min-Hyung Kim | - |
dc.contributor.googleauthor | Sojung Park | - |
dc.contributor.googleauthor | Yu Rang Park | - |
dc.contributor.googleauthor | Wonjun Ji | - |
dc.contributor.googleauthor | Seul-Gi Kim | - |
dc.contributor.googleauthor | Minji Choo | - |
dc.contributor.googleauthor | Seung-Sik Hwang | - |
dc.contributor.googleauthor | Jae Cheol Lee | - |
dc.contributor.googleauthor | Hyeong Ryul Kim | - |
dc.contributor.googleauthor | Chang-Min Choi | - |
dc.identifier.doi | 10.1186/s12911-022-02088-x | - |
dc.contributor.localId | A05624 | - |
dc.relation.journalcode | J00363 | - |
dc.identifier.eissn | 1472-6947 | - |
dc.identifier.pmid | 36609301 | - |
dc.subject.keyword | Administrative database | - |
dc.subject.keyword | Electronic health record | - |
dc.subject.keyword | Non-small cell lung cancer | - |
dc.subject.keyword | TNM Stage | - |
dc.subject.keyword | Treatment decision rules | - |
dc.contributor.alternativeName | Park, Yu Rang | - |
dc.contributor.affiliatedAuthor | 박유랑 | - |
dc.citation.volume | 23 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 3 | - |
dc.identifier.bibliographicCitation | BMC MEDICAL INFORMATICS AND DECISION MAKING, Vol.23(1) : 3, 2023-01 | - |
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