dc.contributor.author | Şefik Köprülü, Ali | |
dc.contributor.author | Gökhan Gül, Yaşar | |
dc.contributor.author | Tanrıkulu, Nurşen | |
dc.date.accessioned | 2021-12-21T08:31:32Z | |
dc.date.available | 2021-12-21T08:31:32Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 1300-0144 | |
dc.identifier.issn | 1303-6165 | |
dc.identifier.uri | https://app.trdizin.gov.tr/makale/TXpNME1qTTBOQT09/can-postoperative-pain-be-predicted-new-parameter-analgesia-nociception-index | |
dc.identifier.uri | https://doi.org/10.3906/sag-1811-194 | |
dc.identifier.uri | http://dspace.yeniyuzyil.edu.tr:8080/xmlui/handle/20.500.12629/779 | |
dc.description.abstract | Background/aim: The Analgesia Nociception Index (ANI) is a new method of identifying nociception-analgesia balance. In this study,we investigate the correlation between the ANI and numeric rating scale (NRS) values immediately before and after extubation. | |
dc.language.iso | English | |
dc.title | Can postoperative pain be predicted? New parameter: analgesia nociception index | |
dc.relation.journal | Turkish Journal of Medical Sciences | |
dc.identifier.issue | 1 | |
dc.identifier.startpage | 49 | |
dc.identifier.endpage | 58 | |
dc.identifier.volume | 50 | |
dc.identifier.doi | 10.3906/sag-1811-194 | |
dc.relation.issue | 1 | |
dc.relation.volume | 50 | |