Publication: Topkan's CARWL index efficiently predicts the radiation-induced tooth loss rates in radically treated locally advanced nasopharyngeal cancer patients
| dc.contributor.coauthor | Somay, Efsun | |
| dc.contributor.coauthor | Topkan, Erkan | |
| dc.contributor.coauthor | Bascil, Sibel | |
| dc.contributor.coauthor | Ozturk, Duriye | |
| dc.contributor.department | School of Medicine | |
| dc.contributor.kuauthor | Selek, Uğur | |
| dc.contributor.kuauthor | Durankuş, Nilüfer Kılıç | |
| dc.contributor.kuauthor | Şenyürek, Şükran | |
| dc.contributor.schoolcollegeinstitute | SCHOOL OF MEDICINE | |
| dc.date.accessioned | 2025-03-06T21:00:35Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Purpose To assess the usefulness of the novel CARWL index in predicting radiation-induced tooth loss (RITL) rates in locally advanced nasopharyngeal cancer (LA-NPC) patients undergoing concurrent chemoradiotherapy (C-CRT). Methods The study retrospectively examined data from 323 LA-NPC patients. The patients were divided into two groups based on cutoff values for CAR and weight loss (WL). The ideal cutoff for RITL was 3.0 g/dL [AUC: 83.0%, sensitivity: 83.6%, specificity: 81.4%, J-index: 0.650]. CARWL index was created by combining pretreatment CAR and WL status (WL <= 5.0% vs > 5.0%, resulting in four groups: Group 1: CAR < 3.0 and WL <= 5.0%, Group 2: CAR < 3.0 and WL > 5.0%, Group 3: CAR >= 3.0 and WL <= 5.0%, and Group 4: CAR > 3.0 and WL > 5.0%. Results RITL was diagnosed in 67.2% of patients. Since the RITL rates of Groups 2 and 3 were statistically indistinguishable, we combined them and created the three-tiered CARWL score groups: CARWL-0: CAR < 3.0 and WL <= 5.0%;CARWL-1: CAR < 3.0 and WL > 5.0%, or CAR >= 3.0 and WL <= 5.0%;and CARWL-2: CAR > 3.0 and WL > 5.0%. Comparative analysis revealed that the RITL rates gradually and significantly increased from CARWL-0 to CARWL-2 score groups (49.4% vs 64.7% vs 83.0%;P <0.001) despite similar baseline disease and patient characteristics. Results of the multivariate analysis showed that higher CARWL score groups were independent and significant predictors of increased RITL rates (p < 0.001). Conclusion Present results suggest that the novel CARWL index is a reliable biomarker for predicting RITL incidence in LA-NPC patients. | |
| dc.description.fulltext | Yes | |
| dc.description.indexedby | WOS | |
| dc.description.indexedby | Scopus | |
| dc.description.indexedby | PubMed | |
| dc.description.openaccess | Gold OA | |
| dc.description.publisherscope | International | |
| dc.description.sponsoredbyTubitakEu | N/A | |
| dc.identifier.doi | 10.1177/15330338241292234 | |
| dc.identifier.eissn | 1533-0338 | |
| dc.identifier.embargo | No | |
| dc.identifier.filenameinventoryno | IR05864 | |
| dc.identifier.issn | 1533-0346 | |
| dc.identifier.quartile | Q3 | |
| dc.identifier.scopus | 2-s2.0-85206793941 | |
| dc.identifier.uri | https://doi.org/10.1177/15330338241292234 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14288/27926 | |
| dc.identifier.volume | 23 | |
| dc.identifier.wos | 1339193800001 | |
| dc.keywords | Radiation-induced tooth loss | |
| dc.keywords | C-reactive protein | |
| dc.keywords | Weight loss | |
| dc.keywords | Radiotherapy | |
| dc.keywords | Nasopharyngeal cancer | |
| dc.language.iso | eng | |
| dc.publisher | Sage | |
| dc.relation.ispartof | Technology in Cancer Research and Treatment | |
| dc.relation.openaccess | Yes | |
| dc.rights | CC BY-NC (Attribution-NonCommercial) | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject | Oncology | |
| dc.title | Topkan's CARWL index efficiently predicts the radiation-induced tooth loss rates in radically treated locally advanced nasopharyngeal cancer patients | |
| dc.type | Journal Article | |
| dspace.entity.type | Publication | |
| local.contributor.kuauthor | Selek, Uğur | |
| local.contributor.kuauthor | Durankuş, Nilüfer Kılıç | |
| local.contributor.kuauthor | Şenyürek, Şükran | |
| local.publication.orgunit1 | SCHOOL OF MEDICINE | |
| local.publication.orgunit2 | School of Medicine | |
| relation.isOrgUnitOfPublication | d02929e1-2a70-44f0-ae17-7819f587bedd | |
| relation.isOrgUnitOfPublication.latestForDiscovery | d02929e1-2a70-44f0-ae17-7819f587bedd | |
| relation.isParentOrgUnitOfPublication | 17f2dc8e-6e54-4fa8-b5e0-d6415123a93e | |
| relation.isParentOrgUnitOfPublication.latestForDiscovery | 17f2dc8e-6e54-4fa8-b5e0-d6415123a93e |
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