Full metadata record
DC Field | Value | Language |
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dc.contributor.author | 태정현 | * |
dc.date.accessioned | 2022-03-08T16:31:42Z | - |
dc.date.available | 2022-03-08T16:31:42Z | - |
dc.date.issued | 2022 | * |
dc.identifier.issn | 0930-2794 | * |
dc.identifier.other | OAK-30655 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/260851 | - |
dc.description.abstract | Background: Endoscopic submucosal dissection (ESD) is an effective treatment for early gastric cancer (EGC); however, its curative resection rate is low for undifferentiated-type EGC. We developed and externally validated a prediction model for curative ESD of undifferentiated-type EGC. Methods: In this cross-sectional study, we included 448 patients who underwent ESD for undifferentiated-type EGC at 18 hospitals in Korea between 2005 and 2015 in the development cohort and 1342 patients who underwent surgery at two hospitals in the validation cohort. A prediction model was developed using the logistic regression model. Results: Endoscopic tumor size 1–2 cm (odds ratio [OR], 2.40; 95% confidence interval [CI] 1.54–3.73), tumor size > 2 cm (OR, 14.00; 95% CI 6.81–28.77), and proximal tumor location from the lower to upper third of the stomach (OR, 1.45; 95% CI 1.03–2.04) were independent predictors of non-curative ESD. A six-score prediction model was developed by assigning points to endoscopic tumor size > 2 cm (five points), tumor size 1–2 cm (two points), upper third location (two points), and middle third location (one point). The rate of curative ESD ranged from 70.6% (score 0) to 11.6% (score 5) with an area under the receiver operating characteristic curve (AUC) of 0.720 (95% CI 0.673–0.766). The model also showed good performance in the validation cohort (AUC, 0.775; 95% CI 0.748–0.803). Conclusions: This six-score prediction model may help in predicting curative ESD and making informed decisions about the treatment selection between ESD and surgery for undifferentiated-type EGC. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. | * |
dc.language | English | * |
dc.publisher | Springer | * |
dc.subject | Curative resection | * |
dc.subject | Early gastric cancer | * |
dc.subject | Endoscopic submucosal dissection | * |
dc.subject | Risk assessment | * |
dc.subject | Undifferentiated-type histology | * |
dc.title | Prediction model for curative endoscopic submucosal dissection of undifferentiated-type early gastric cancer | * |
dc.type | Article | * |
dc.relation.issue | 2 | * |
dc.relation.volume | 36 | * |
dc.relation.index | SCIE | * |
dc.relation.index | SCOPUS | * |
dc.relation.startpage | 1414 | * |
dc.relation.lastpage | 1423 | * |
dc.relation.journaltitle | Surgical Endoscopy | * |
dc.identifier.doi | 10.1007/s00464-021-08426-w | * |
dc.identifier.scopusid | 2-s2.0-85102571900 | * |
dc.author.google | Yang H.-J. | * |
dc.author.google | Joo M.K. | * |
dc.author.google | Park J.M. | * |
dc.author.google | Ahn J.Y. | * |
dc.author.google | Jang J.-Y. | * |
dc.author.google | Lim J.H. | * |
dc.author.google | Nam S.Y. | * |
dc.author.google | Kim J.-H. | * |
dc.author.google | Min B.-H. | * |
dc.author.google | Lee W.-S. | * |
dc.author.google | Lee B.E. | * |
dc.author.google | Shin W.G. | * |
dc.author.google | Lee H.L. | * |
dc.author.google | Gweon T.-G. | * |
dc.author.google | Park M.I. | * |
dc.author.google | Choi J. | * |
dc.author.google | Tae C.H. | * |
dc.author.google | Kim Y.-I. | * |
dc.author.google | Ryu K.W. | * |
dc.author.google | Choi I.J. | * |
dc.contributor.scopusid | 태정현(35211966400) | * |
dc.date.modifydate | 20240308140308 | * |