Matches in Nanopublications for { ?s ?p "[A predictive model combining variants in TPMT, ABCC3, and COMT with clinical variables (patient age, vincristine treatment, germ-cell tumor, and cranial irradiation) significantly improved the prediction of hearing-loss development as compared with using clinical risk factors alone (area under the curve (AUC) 0.786 vs. 0.708, P = 0.00048).]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en ?g. }
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- NP802803.RAYd-m-MTe_VFiv4yln1Rsjq_-IXS2TVVbVjtFJRbvAYw130_assertion description "[A predictive model combining variants in TPMT, ABCC3, and COMT with clinical variables (patient age, vincristine treatment, germ-cell tumor, and cranial irradiation) significantly improved the prediction of hearing-loss development as compared with using clinical risk factors alone (area under the curve (AUC) 0.786 vs. 0.708, P = 0.00048).]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP802803.RAYd-m-MTe_VFiv4yln1Rsjq_-IXS2TVVbVjtFJRbvAYw130_provenance.
- NP514469.RAdWI9ZSpXmFBY2q9r4erqVITPI0IaVrhIYL3doeTX8no130_assertion description "[A predictive model combining variants in TPMT, ABCC3, and COMT with clinical variables (patient age, vincristine treatment, germ-cell tumor, and cranial irradiation) significantly improved the prediction of hearing-loss development as compared with using clinical risk factors alone (area under the curve (AUC) 0.786 vs. 0.708, P = 0.00048).]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP514469.RAdWI9ZSpXmFBY2q9r4erqVITPI0IaVrhIYL3doeTX8no130_provenance.
- NP321873.RAAKC2N8DrQ2TKRGOzRPzpgZyiqownzXsk6OVPfd9yuRg130_assertion description "[A predictive model combining variants in TPMT, ABCC3, and COMT with clinical variables (patient age, vincristine treatment, germ-cell tumor, and cranial irradiation) significantly improved the prediction of hearing-loss development as compared with using clinical risk factors alone (area under the curve (AUC) 0.786 vs. 0.708, P = 0.00048).]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP321873.RAAKC2N8DrQ2TKRGOzRPzpgZyiqownzXsk6OVPfd9yuRg130_provenance.
- NP581970.RAHGLDJh3-4wfEO__0ZNMSfIDv5I6m8DaKTbQHWWSuGRk130_assertion description "[A predictive model combining variants in TPMT, ABCC3, and COMT with clinical variables (patient age, vincristine treatment, germ-cell tumor, and cranial irradiation) significantly improved the prediction of hearing-loss development as compared with using clinical risk factors alone (area under the curve (AUC) 0.786 vs. 0.708, P = 0.00048).]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP581970.RAHGLDJh3-4wfEO__0ZNMSfIDv5I6m8DaKTbQHWWSuGRk130_provenance.
- NP788655.RAzo8myk6QSdslFAuEh1zkxm_sc5pGscw0wLZTnfwVNW0130_assertion description "[A predictive model combining variants in TPMT, ABCC3, and COMT with clinical variables (patient age, vincristine treatment, germ-cell tumor, and cranial irradiation) significantly improved the prediction of hearing-loss development as compared with using clinical risk factors alone (area under the curve (AUC) 0.786 vs. 0.708, P = 0.00048).]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP788655.RAzo8myk6QSdslFAuEh1zkxm_sc5pGscw0wLZTnfwVNW0130_provenance.
- NP1069453.RAqG2DMXTM2ddRU8DYrPdONskan7iIG6Ak5KnNFa4iFZs130_assertion description "[A predictive model combining variants in TPMT, ABCC3, and COMT with clinical variables (patient age, vincristine treatment, germ-cell tumor, and cranial irradiation) significantly improved the prediction of hearing-loss development as compared with using clinical risk factors alone (area under the curve (AUC) 0.786 vs. 0.708, P = 0.00048).]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine." NP1069453.RAqG2DMXTM2ddRU8DYrPdONskan7iIG6Ak5KnNFa4iFZs130_provenance.