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  1. Article ; Online: Lycopene in Prevention of Infertility After Testicular Surgery Regarding Urology. 2022;164:267-272. doi:10.1016/j.urology.2021.11.044.

    Kucuk, Omer

    Urology

    2023  Volume 175, Page(s) 236

    MeSH term(s) Male ; Humans ; Lycopene/therapeutic use ; Urology ; Testis ; Infertility ; Infertility, Male/etiology ; Infertility, Male/prevention & control
    Chemical Substances Lycopene (SB0N2N0WV6)
    Language English
    Publishing date 2023-03-08
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 192062-5
    ISSN 1527-9995 ; 0090-4295
    ISSN (online) 1527-9995
    ISSN 0090-4295
    DOI 10.1016/j.urology.2023.02.031
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Walk More, Eat Less, Don't Stress.

    Kucuk, Omer

    Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology

    2022  Volume 31, Issue 9, Page(s) 1673–1674

    Abstract: Unhealthy diet, obesity, lack of physical activity, and psychologic stress are associated with increased inflammation, oxidative stress, insulin resistance, and DNA methylation, which are the main mechanisms of chronic diseases such as cancer, ... ...

    Abstract Unhealthy diet, obesity, lack of physical activity, and psychologic stress are associated with increased inflammation, oxidative stress, insulin resistance, and DNA methylation, which are the main mechanisms of chronic diseases such as cancer, hypertension, diabetes, cardiovascular disease, and Alzheimer's disease. It has recently been found that healthy diet and physical activity can reduce inflammatory markers and improve insulin sensitivity resulting in better survivorship outcomes in patients with prostate cancer. An "anti-inflammatory" lifestyle, including physical activity, healthy body weight, healthy diet, and stress reduction, has been associated with decreased cancer risk and progression. Epigenetic changes due to DNA methylation and altered gene expression associated with unhealthy lifestyle can be modulated by healthy behaviors. National Center for Complementary and Integrative Health (NCCIH) focuses on healthy lifestyle, and it supports research on psychologic and physical approaches including dietary supplements and plant-based products, as well as mind and body approaches, such as yoga, massage, meditation, mindfulness-based stress reduction, and acupuncture. See related article by Langlais et al., p. 1760.
    MeSH term(s) Diet, Healthy ; Exercise ; Humans ; Insulin ; Life Style ; Male ; Prostatic Neoplasms
    Chemical Substances Insulin
    Language English
    Publishing date 2022-09-02
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 1153420-5
    ISSN 1538-7755 ; 1055-9965
    ISSN (online) 1538-7755
    ISSN 1055-9965
    DOI 10.1158/1055-9965.EPI-22-0609
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: EDITORIAL COMMENT.

    Kucuk, Omer

    Urology

    2021  Volume 156, Page(s) 209–210

    Language English
    Publishing date 2021-11-04
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 192062-5
    ISSN 1527-9995 ; 0090-4295
    ISSN (online) 1527-9995
    ISSN 0090-4295
    DOI 10.1016/j.urology.2021.05.091
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Evaluation of plateletcrit level from platelet indices as a prognostic marker in COVID-19 patients.

    Aydemir, S / Segmen, F / Kucuk, O

    European review for medical and pharmacological sciences

    2023  Volume 27, Issue 19, Page(s) 9429–9437

    Abstract: Objective: COVID-19 disease bears similarities to a wide range of diseases, from simple flu infections to severe acute respiratory distress syndrome and is caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). In this study, we aimed ... ...

    Abstract Objective: COVID-19 disease bears similarities to a wide range of diseases, from simple flu infections to severe acute respiratory distress syndrome and is caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). In this study, we aimed to elucidate the plateletcrit levels in patients with and without mortality who had been admitted to the intensive care unit because of pneumonia associated with SARS-CoV-2.
    Patients and methods: In total, 434 patients were evaluated in this retrospective analysis. Their demographic data, comorbid diseases, Acute Physiology and Chronic Health Evaluation (APACHE) II and Sequential Organ Failure Assessment (SOFA) scores, platelet, lymphocyte, white blood cell (WBC) and neutrophil counts; mean platelet volume (MPV), platelet distribution width (PDW), plateletcrit (PCT), hemoglobin and C-reactive protein (CRP) levels and neutrophil-lymphocyte ratios (NLRs) were obtained from the hospital's electronic database on the days of the patients' intensive care unit admissions. Afterwards, their PLR, PNR, and MPV/PLT ratios were calculated.
    Results: APACHE II score, length of hospital stay, WBC count, PCT, PLR, NLR, and CRP levels affected mortality. Increases in hospital stay duration, APACHE II score, platelet-lymphocyte ratio (PLR), and CRP, as well as decreases in PCT percentage, were associated with mortality. ROC curve analysis was performed to determine the success of PCT, PLR, and NLR in predicting mortality in COVID-19 patients and to determine cut-off values for mortality. It was determined that PCT, PLR, and NLR could correctly classify patients at rates of 58.9%, 59.2%, and 66.8% (moderate), respectively. The risk of mortality was higher in patients with PCT values of 0.188 or less, PLR values greater than 293.46, and NLR values greater than 9.49.
    Conclusions: In the COVID-19 patients evaluated in this study, plateletcrit indices could be utilized to predict mortality.
    MeSH term(s) Humans ; Retrospective Studies ; Prognosis ; COVID-19 ; SARS-CoV-2 ; Blood Platelets
    Language English
    Publishing date 2023-11-01
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 605550-3
    ISSN 2284-0729 ; 1128-3602 ; 0392-291X
    ISSN (online) 2284-0729
    ISSN 1128-3602 ; 0392-291X
    DOI 10.26355/eurrev_202310_33971
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Fire behavior prediction with artificial intelligence in thinned black pine (Pinus nigra Arnold) stand

    Kucuk, Omer / Sevinc, Volkan

    Forest Ecology and Management. 2023 Feb., v. 529 p.120707-

    2023  

    Abstract: Modeling forest fire behavior is very important for the effective control of forest fires and the setting up of necessary precautions before fires start. However, studies of forest fire behavior are complex studies that depend on many variables and ... ...

    Abstract Modeling forest fire behavior is very important for the effective control of forest fires and the setting up of necessary precautions before fires start. However, studies of forest fire behavior are complex studies that depend on many variables and usually involve large data sets. For this reason, the predictive power and speed of classical forecasting models are lower than of artificial intelligence models in cases involving big data and many variables. Moreover, classical forecasting models must satisfy certain statistical assumptions, unlike artificial intelligence methods. Thus, in this study, predictions were made of surface fire behavior, especially the rate of fire spread and the fire intensity, at the location at which fires started using two artificial intelligence methods, an artificial neural network and a decision tree. The accuracy of the developed models was fitted and tested. Finally, the classical regression model for predicting surface fire behavior was compared with the two artificial intelligence methods. The accuracy measures of the artificial intelligence models were found to be better than those of the classical model.
    Keywords Pinus nigra ; administrative management ; artificial intelligence ; decision support systems ; fire intensity ; fire spread ; forest fires ; neural networks ; prediction ; regression analysis ; Fire behavior ; Artificial neural networks ; Decision trees ; Black pine
    Language English
    Dates of publication 2023-02
    Publishing place Elsevier B.V.
    Document type Article ; Online
    ZDB-ID 751138-3
    ISSN 0378-1127
    ISSN 0378-1127
    DOI 10.1016/j.foreco.2022.120707
    Database NAL-Catalogue (AGRICOLA)

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  6. Article: Factors Influencing Morbidity and Mortality Rates in Tertiary Intensive Care Units in Turkey: A Retrospective Cross-Sectional Study.

    Parpucu, Ümit Murat / Küçük, Onur / Aydemir, Semih

    Healthcare (Basel, Switzerland)

    2024  Volume 12, Issue 6

    Abstract: Background and objectives: The objective of this study was to determine the correlation between the prognosis of patients admitted to a tertiary intensive care unit (ICU) and the admitted patient population, intensive care conditions, and the workload ... ...

    Abstract Background and objectives: The objective of this study was to determine the correlation between the prognosis of patients admitted to a tertiary intensive care unit (ICU) and the admitted patient population, intensive care conditions, and the workload of intensive care staff.
    Materials and methods: This was a retrospective cross-sectional study that analyzed data from all tertiary ICUs (a minimum of 40 and a maximum of 59 units per month) of eight training and research hospitals between January 2022 and May 2023. We compared monthly data across hospitals and analyzed factors associated with patient prognosis, including mortality and pressure injuries (PIs).
    Results: This study analyzed data from 54,312 patients, of whom 51% were male and 58.8% were aged 65 or older. The median age was 69 years. The average number of tertiary ICU beds per unit was 15 ± 6 beds, and the average occupancy rate was 83.57 ± 19.28%. On average, 7 ± 9 pressure injuries (PI) and 10 ± 7 patient deaths per unit per month were reported. The mortality rate (18.66%) determined per unit was similar to the expected rate (15-25%) according to the Acute Physiology and Chronic Health Evaluation (APACHE) II score. There was a statistically significant difference among hospitals on a monthly basis across various aspects, including bed occupancy rate, length of stay (LOS), number of patients per ICU bed, number of patients per nurse in a shift, rate of patients developing PI, hospitalization rate from the emergency department, hospitalization rate from wards, hospitalization rate from the external center, referral rate, and mortality rate (
    Conclusions: Although generally reliable in predicting prognosis in tertiary ICUs, the APACHE II scoring system may have limitations when analyzed on a unit-specific basis. ICU-related conditions have an impact on patient prognosis. ICU occupancy rate, work intensity, patient population, and number of working nurses are important factors associated with ICU mortality. In particular, data on the patient population admitted to the unit (emergency patients and patients with a history of malignancy) were most strongly associated with unit mortality.
    Language English
    Publishing date 2024-03-19
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2721009-1
    ISSN 2227-9032
    ISSN 2227-9032
    DOI 10.3390/healthcare12060689
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Can a Correct Diagnosis Be Established Using the Teledermatology Method?

    Taslidere, Nazan / Su Kucuk, Ozlem

    Acta dermatovenerologica Croatica : ADC

    2022  Volume 30, Issue 1, Page(s) 32–39

    Abstract: Teledermatology is a remote method of diagnosis, treatment, and follow-up of the patient with visual communication technologies. It has been a research subject for many years, but its reliability has not been fully explained. With the emergence of the ... ...

    Abstract Teledermatology is a remote method of diagnosis, treatment, and follow-up of the patient with visual communication technologies. It has been a research subject for many years, but its reliability has not been fully explained. With the emergence of the coronavirus disease-19 (COVID-19) pandemic in 2019, the need for teledermatology increased. This study aimed to evaluate the reliability of teledermatology. Material and Method: A total of 595 lesions of 546 patients who visited the dermatology outpatient clinic were included in the study. Two physicians evaluated the patients, one face-to-face and the other via multimedia messaging, and the diagnoses were compared with each other. Diagnoses were in total agreement if the first diagnoses were the same, in partial agreement if the second and third diagnoses were the same, and in no agreement if all diagnoses differed. The first diagnoses of Physicians 1 and 2 matched in 468 (total agreement rate: 76.8%) patients, and the second and third diagnoses matched in 44 and 8 patients, respectively (partial agreement rate: 8.7%). There was no agreement in the diagnoses of 75 patients (12.7%). In total, an agreement was reached in 520 patients (87.3%). Common diseases in dermatology practice, such as papulopustular and urticarial lesions, nails and hair diseases, infectious diseases, erythematous squamous diseases, those with pruritus, and skin malignancies, were diagnosed teledermatologically at a high rate of accuracy. In contrast, eczematous diseases, premalignant lesions, and other groups of diseases were less accurately diagnosed. In the last year, the importance of teledermatology has greatly increased with the COVID-19 pandemic. Our study shows that the store and forward (asynchronous) method of teledermatology can diagnose dermatological diseases with a high rate of accuracy.
    MeSH term(s) COVID-19/diagnosis ; COVID-19 Testing ; Dermatology/methods ; Humans ; Pandemics ; Reproducibility of Results ; Skin Diseases/diagnosis ; Skin Diseases/therapy ; Telemedicine/methods
    Language English
    Publishing date 2022-09-24
    Publishing country Croatia
    Document type Journal Article
    ZDB-ID 1180727-1
    ISSN 1847-6538 ; 1330-027X
    ISSN (online) 1847-6538
    ISSN 1330-027X
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Comparison of the effectiveness of delirium evaluation tools in intensive care patients: pre-deliric versions 1 and 2, E-pre-deliric and ICDSC.

    Kucuk, O / Memis, D / Inal, M T / Turan, F N / Memis, I

    European review for medical and pharmacological sciences

    2023  Volume 27, Issue 21, Page(s) 10365–10374

    Abstract: Objective: This study's objective was to compare the effectiveness of the delirium prediction model (pre-deliric) and the early prediction model (E-pre-deliric) in delirium prediction in an intensive care unit (ICU) according to the Intensive Care ... ...

    Abstract Objective: This study's objective was to compare the effectiveness of the delirium prediction model (pre-deliric) and the early prediction model (E-pre-deliric) in delirium prediction in an intensive care unit (ICU) according to the Intensive Care Delirium Screening Checklist (ICDSC). Our aim was to determine these models' usability and cut-off values for ICU patients.
    Patients and methods: We classified the studied patients based on their highest ICDSC scores (tested twice daily) during ICU hospitalization. ICDSC scores of 4 or higher indicated positive results for delirium, whereas a score of 0 represented a negative result. We recorded the patients' demographic and clinical details and characteristics and calculated their E-pre-deliric and pre-deliric version 1 and version 2 scores. To evaluate the effectiveness of the models, we used receiver operating characteristic (ROC) curve analysis.
    Results: Two hundred fifty patients (55.6% males, mean age 60.6±18.7 years) participated in this study. Their mean Acute Physiology and Chronic Health Evaluation II (APACHE-II) score was 17.0±9.1. Delirium was more common in men, patients of older ages, those with high APACHE-II scores, those who had undergone urgent admissions, those with histories of trauma, those with high urea or creatinine values and those who had undergone sedation or mechanical ventilation. Compared to patients who did not develop delirium, those who did had longer ICU stays and hospital stays, as well as greater mortality risk. The cutoff values for the patients' pre-deliric version 1, pre-deliric version 2 and E-pre-deliric scores were 38% [area under ROC (AUROC)=1], 22% (AUROC=1) and 28% (AUROC=1), respectively.
    Conclusions: This study is the first to compare the pre-deliric and E-pre-deliric prediction models. These models' validity and reliability were acceptable. They were clinically useful, and we identified their cut-off values. These models provide options for early detection of delirium and are easily applicable in the ICU.
    MeSH term(s) Male ; Humans ; Adult ; Middle Aged ; Aged ; Female ; Delirium/diagnosis ; Checklist ; Reproducibility of Results ; Prospective Studies ; Critical Care/methods ; Intensive Care Units
    Language English
    Publishing date 2023-11-17
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 605550-3
    ISSN 2284-0729 ; 1128-3602 ; 0392-291X
    ISSN (online) 2284-0729
    ISSN 1128-3602 ; 0392-291X
    DOI 10.26355/eurrev_202311_34310
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Treatment of copper converter slag with deep eutectic solvent as green chemical.

    Topçu, M A / Rüşen, A / Küçük, Ö

    Waste management (New York, N.Y.)

    2021  Volume 132, Page(s) 64–73

    Abstract: Industrial copper slag is among the most important wastes to be evaluated in terms of containing valuable metals and the amount of waste approaching 30 million tons per year. Therefore, in this study, it was aimed to propose a feasible route for copper ... ...

    Abstract Industrial copper slag is among the most important wastes to be evaluated in terms of containing valuable metals and the amount of waste approaching 30 million tons per year. Therefore, in this study, it was aimed to propose a feasible route for copper and zinc recovery from copper converter slag (CCS) by using choline chloride (ChCl) based deep eutectic solvent which is applied on this type of slag for the first time. During the leaching experiments with the pure ChCl-2urea mixture, temperature (25-95 °C), leaching duration (2-72 h), and pulp density (1/10-1/40 g/mL) were selected as the parameters to be investigated for Cu and Zn extraction. After the experimental results, the optimized conditions for the ChCl-2urea leaching process, which gave 89.9% Cu and 65.3% Zn extraction was found at 48 h, 95 °C, 1/20 g/mL pulp density with 600 rpm stirring speed. It is noted that the iron dissolution ratio is very low (max. 4.7%) under the selected conditions. At the end of the iron cementation stage, the total recovery efficiency as a pure metallic copper was 63%. The calculated activation energy for the dissolution of the copper and zinc from CCS is 8.86 kJ mol
    MeSH term(s) Copper ; Iron ; Metals ; Solvents ; Zinc
    Chemical Substances Metals ; Solvents ; Copper (789U1901C5) ; Iron (E1UOL152H7) ; Zinc (J41CSQ7QDS)
    Language English
    Publishing date 2021-07-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2001471-5
    ISSN 1879-2456 ; 0956-053X
    ISSN (online) 1879-2456
    ISSN 0956-053X
    DOI 10.1016/j.wasman.2021.07.022
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Soy foods, isoflavones, and breast cancer.

    Kucuk, Omer

    Cancer

    2017  Volume 123, Issue 11, Page(s) 1901–1903

    MeSH term(s) Breast Neoplasms ; Humans ; Isoflavones ; Registries ; Soy Foods ; Survivors
    Chemical Substances Isoflavones
    Language English
    Publishing date 2017-03-06
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 1429-1
    ISSN 1097-0142 ; 0008-543X ; 1934-662X
    ISSN (online) 1097-0142
    ISSN 0008-543X ; 1934-662X
    DOI 10.1002/cncr.30614
    Database MEDical Literature Analysis and Retrieval System OnLINE

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