University of Aberdeen logo

AURA - Aberdeen University Research Archive

 

Predicting Risk of Post-Operative Morbidity and Mortality following Gynaecological Oncology Surgery (PROMEGO) : A Global Gynaecological Oncology Surgical Outcomes Collaborative Led Study

Simple item page
dc.contributor.authorGaba, Faiza
dc.contributor.authorMohammadi, Sara Mahvash
dc.contributor.authorKrivonosov, Mikhail I
dc.contributor.authorBlyuss, Oleg
dc.contributor.authorGO SOAR Collaborators
dc.contributor.institutionUniversity of Aberdeen.Institute of Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.date.accessioned2024-08-27T13:57:01Z
dc.date.available2024-08-27T13:57:01Z
dc.date.issued2024-05-26
dc.descriptionAcknowledgments We acknowledge support provided by a number of stakeholders, including GO SOAR collaborators and the University of Aberdeen. Conflicts of Interest F.G. declares funding from the NHS Grampian Endowment Fund, Medtronic, Karl Storz, the British Gynaecological Cancer Society outside of this work, and an honorarium from Astra Zeneca. M.I.K. declares funding in the field of artificial intelligence, provided by the Analytical Center for the Government of the Russian Federation, in accordance with the subsidy agreement (agreement identifier 000000D730321P5Q0002) and the agreement with the Ivannikov Institute for System Programming of the Russian Academy of Sciences dated 2 November 2021, No. 70-2021-00142. O.B. declares funding from Barts Charity (G-001522). All other authors declare no conflicts of interest.en
dc.description.statusPeer revieweden
dc.format.extent11
dc.format.extent653588
dc.identifier292274989
dc.identifier75b4cc9a-f988-41af-8d4e-3dce96b79bfd
dc.identifier38893143
dc.identifier85195927250
dc.identifier.citationGaba, F, Mohammadi, S M, Krivonosov, M I, Blyuss, O & GO SOAR Collaborators 2024, 'Predicting Risk of Post-Operative Morbidity and Mortality following Gynaecological Oncology Surgery (PROMEGO) : A Global Gynaecological Oncology Surgical Outcomes Collaborative Led Study', Cancers, vol. 16, no. 11, 2021. https://doi.org/10.3390/cancers16112021en
dc.identifier.doi10.3390/cancers16112021
dc.identifier.iss11en
dc.identifier.issn2072-6694
dc.identifier.otherPubMedCentral: PMC11170986
dc.identifier.otherORCID: /0000-0003-4081-6883/work/166663556
dc.identifier.urihttps://hdl.handle.net/2164/24122
dc.identifier.urlhttps://www.mdpi.com/2072-6694/16/11/2021en
dc.identifier.vol16en
dc.language.isoeng
dc.relation.ispartofCancersen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectR Medicine (General)en
dc.subjectSupplementary Informationen
dc.subjecthttps://www.mdpi.com/article/10.3390/cancers16112021/s1en
dc.subject.lccR1en
dc.titlePredicting Risk of Post-Operative Morbidity and Mortality following Gynaecological Oncology Surgery (PROMEGO) : A Global Gynaecological Oncology Surgical Outcomes Collaborative Led Studyen
dc.typeJournal articleen

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Gaba_etal_C_Predicting_Risk_Post_Operative_VOR.pdf
Size:
638.27 KB
Format:
Adobe Portable Document Format
Download

Collections

All research