Orkhan Alizada

Dr. Orkhan Alizada


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 September 2020 in EBioMedicine
Verified
Journal Article
Open access
SSShima Shahjouei
Shima Shahjouei
SNSoheil Naderi
Soheil Naderi
JLJiang Li
Jiang Li
AKAyesha Khan
Ayesha Khan
DCDurgesh Chaudhary
Durgesh Chaudhary
Ramin ZandRamin Zand
Ramin Zand
There is an increased attention to stroke following SARS-CoV-2. The goal of this study was to better depict the short-term risk of stroke and its associated factors among SARS-CoV-2 hospitalized patients. This multicentre, multinational observational study includes hospitalized SARS-CoV-2 patients from North and South America (United States, Canada, and Brazil), Europe (Greece, Italy, Finland, and Turkey), Asia (Lebanon, Iran, and India), and Oceania (New Zealand). The outcome was the risk of subsequent stroke. Centres were included by non-probability sampling. The counts and clinical characteristics including laboratory findings and imaging of the patients with and without a subsequent stroke were recorded according to a predefined protocol. Quality, risk of bias, and heterogeneity assessments were conducted according to ROBINS-E and Cochrane Q-test. The risk of subsequent stroke was estimated through meta-analyses with random effect models. Bivariate logistic regression was used to determine the parameters with predictive outcome value. The study was reported according to the STROBE, MOOSE, and EQUATOR guidelines. We received data from 26,175 hospitalized SARS-CoV-2 patients from 99 tertiary centres in 65 regions of 11 countries until May 1st, 2020. A total of 17,799 patients were included in meta-analyses. Among them, 156(0.9%) patients had a stroke—123(79%) ischaemic stroke, 27(17%) intracerebral/subarachnoid hemorrhage, and 6(4%) cerebral sinus thrombosis. Subsequent stroke risks calculated with meta-analyses, under low to moderate heterogeneity, were 0.5% among all centres in all countries, and 0.7% among countries with higher health expenditures. The need for mechanical ventilation (OR: 1.9, 95% CI:1.1–3.5, p = 0.03) and the presence of ischaemic heart disease (OR: 2.5, 95% CI:1.4–4.7, p = 0.006) were predictive of stroke. The results of this multi-national study on hospitalized patients with SARS-CoV-2 infection indicated an overall stroke risk of 0.5%(pooled risk: 0.9%). The need for mechanical ventilation and the history of ischaemic heart disease are the independent predictors of stroke among SARS-CoV-2 patients. None.

1 March 2020 in Journal of Clinical Neuroscience
Verified
Journal Article
Closed access
OAOrkhan Alizada
Orkhan Alizada
RKRahsan Kemerdere
Rahsan Kemerdere
MUMustafa Onur Ulu
Mustafa Onur Ulu
MAMehmet Yigit Akgun
Mehmet Yigit Akgun
CICihan Isler
Cihan Isler
MHMehmet Murat Hanci
Mehmet Murat Hanci

1 October 2020 in Clinical Neurology and Neurosurgery
Verified
Journal Article
Closed access
OAOrkhan Alizada
Orkhan Alizada
TATugce Ayman
Tugce Ayman
MAMehmet Yigit Akgun
Mehmet Yigit Akgun
MSMehmet Sar
Mehmet Sar
NUNil Urganci
Nil Urganci
RKRahsan Kemerdere
Rahsan Kemerdere

1 May 2019 in Heliyon
Verified
Journal Article
Open access
RKRahsan Kemerdere
Rahsan Kemerdere
MAMehmet Yigit Akgun
Mehmet Yigit Akgun
STSureyya Toklu
Sureyya Toklu
OAOrkhan Alizada
Orkhan Alizada
TTTaner Tanriverdi
Taner Tanriverdi
Preoperative neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and lymphocyte-monocyte ratio (LMR) are recognized as prognostic markers of grade of gliomas. The aim of this study was to determine whether preoperative levels of NLR, PLR, and LMR differ between low- and high-grade gliomas. Retrospective analysis of preoperative neutrophil, lymphocyte, monocyte, and platelet counts and NLR, PLR, and LMR were performed in 171 patients who underwent glioma surgery. The results were compared between low- and high-grade gliomas. Neutrophil count was significantly increased while lymphocyte count significantly decreased in high-grade gliomas (HGGs). NLR and PLR were significantly higher in HGGs but LMR was significantly reduced in HGGs. NLR and PLR correlated with glioma grade and only NLR showed highest accuracy predicting higher grade. Levels of preoperative NLR value can help to evaluate disease progression and predict higher grade of glioma.

1 November 2020 in Clinical Neurology and Neurosurgery
Verified
Journal Article
Closed access
SASeçkin Aydin
Seçkin Aydin
BOBaris Ozoner
Baris Ozoner
SSSerdar Sahin
Serdar Sahin
OAOrkhan Alizada
Orkhan Alizada
NCNil Comunoglu
Nil Comunoglu
NTNecmettin Tanriover
Necmettin Tanriover

1 October 2019 in World Neurosurgery
Verified
Journal Article
Closed access
MAMehmet Yigit Akgun
Mehmet Yigit Akgun
RKRahsan Kemerdere
Rahsan Kemerdere
MUMustafa Onur Ulu
Mustafa Onur Ulu
OAOrkhan Alizada
Orkhan Alizada
CICihan Isler
Cihan Isler
MHMurat Hanci
Murat Hanci