Ziya Karimov

Dr. Ziya Karimov

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Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

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

Representative Publications

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Verified
Journal Article
Open access
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Hasan SlikaHasan Slika
Hasan Slika
ZKZiya Karimov
Ziya Karimov
PAPaolo Alimonti
Paolo Alimonti
TATatiana Abou-Mrad
Tatiana Abou-Mrad
EFEmerson De Fazio
Emerson De Fazio
BTBetty Tyler
Betty Tyler
Glioblastoma is the most common malignant primary central nervous system tumor and one of the most debilitating cancers. The prognosis of patients with glioblastoma remains poor, and the management of this tumor, both in its primary and recurrent forms, remains suboptimal. Despite the tremendous efforts that are being put forward by the research community to discover novel efficacious therapeutic agents and modalities, no major paradigm shifts have been established in the field in the last decade. However, this does not mirror the abundance of relevant findings and discoveries made in preclinical glioblastoma research. Hence, developing and utilizing appropriate preclinical models that faithfully recapitulate the characteristics and behavior of human glioblastoma is of utmost importance. Herein, we offer a holistic picture of the evolution of preclinical models of glioblastoma. We further elaborate on the commonly used in vitro and vivo models, delving into their development, favorable characteristics, shortcomings, and areas of potential improvement, which aids researchers in designing future experiments and utilizing the most suitable models. Additionally, this review explores progress in the fields of humanized and immunotolerant mouse models, genetically engineered animal models, 3D in vitro models, and microfluidics and highlights promising avenues for the future of preclinical glioblastoma research.

13 January 2024 in European Archives of Oto-Rhino-Laryngology
Verified
Journal Article
Open access
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ZKZiya Karimov
Ziya Karimov
IAIrshad Allahverdiyev
Irshad Allahverdiyev
OAOzlem Yagiz Agayarov
Ozlem Yagiz Agayarov
DDDogukan Demir
Dogukan Demir
EAElvina Almuradova
Elvina Almuradova
Purpose: The usage of Chatbots as a kind of Artificial Intelligence in medicine is getting to increase in recent years. UpToDate® is another well-known search tool established on evidence-based knowledge and is used daily by doctors worldwide. In this study, we aimed to investigate the usefulness and reliability of ChatGPT compared to UpToDate in Otorhinolaryngology and Head and Neck Surgery (ORL–HNS). Materials and methods: ChatGPT-3.5 and UpToDate were interrogated for the management of 25 common clinical case scenarios (13 males/12 females) recruited from literature considering the daily observation at the Department of Otorhinolaryngology of Ege University Faculty of Medicine. Scientific references for the management were requested for each clinical case. The accuracy of the references in the ChatGPT answers was assessed on a 0–2 scale and the usefulness of the ChatGPT and UpToDate answers was assessed with 1–3 scores by reviewers. UpToDate and ChatGPT 3.5 responses were compared. Results: ChatGPT did not give references in some questions in contrast to UpToDate. Information on the ChatGPT was limited to 2021. UpToDate supported the paper with subheadings, tables, figures, and algorithms. The mean accuracy score of references in ChatGPT answers was 0.25–weak/unrelated. The median (Q1–Q3) was 1.00 (1.25–2.00) for ChatGPT and 2.63 (2.75–3.00) for UpToDate, the difference was statistically significant (p < 0.001). UpToDate was observed more useful and reliable than ChatGPT. Conclusions: ChatGPT has the potential to support the physicians to find out the information but our results suggest that ChatGPT needs to be improved to increase the usefulness and reliability of medical evidence-based knowledge.

14 December 2023 in Updates in Surgery
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Journal Article
Closed access
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ZKZiya Karimov
Ziya Karimov
SKSeok-Mo Kim
Seok-Mo Kim
YTYiğit Türk
Yiğit Türk
GDGianlorenzo Dionigi
Gianlorenzo Dionigi
EMEdgar Salas Moscoso
Edgar Salas Moscoso
OMOzer Makay
Ozer Makay

8 July 2024 in Journal of Clinical Neuroscience
Verified
Journal Article
Closed access
MFMinaam Farooq
Minaam Farooq
MFMukarram Farooq
Mukarram Farooq
NANoor Atiq
Noor Atiq
KRKaleem Ullah Ranjha
Kaleem Ullah Ranjha
ZKZiya Karimov
Ziya Karimov

21 February 2023 in Acta Oto-Laryngologica Case Reports
Verified
Journal Article
Open access
Aynur AliyevaAynur Aliyeva
Aynur Aliyeva
ZKZiya Karimov
Ziya Karimov
TMTogay Muderris
Togay Muderris
We present a patient diagnosed with a parotid tumor whose histopathology was MASC. A 58-year-old female presented with a 5-month history of an enlarging right parotid mass. Ultrasonography showed a 48 × 30 mm heterogeneous solid lesion with a lobulated contour in the right parotid gland. A neck computed tomography (CT) with intravenous (IV) contrast showed a 28 × 34 mm pathological mass in the right parotid gland. After FNA, parotidectomy, and modified radical neck dissection, pathology showed that the surgical margin was positive for tumor, and one lymph node was metastatic in the right neck. This case was classified as T2N1M1 staged MASC of the salivary gland. She completed seven weeks of radiation therapy (RT) after surgery, and no recurrence or metastasis was observed at the 32nd-month follow-up. We aimed to report a rare parotid gland tumor with this case and inspire new research on diagnosing and treating rare salivary gland tumors