Khalis Mustafayev
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Khalis Mustafayev has a total of 16 co-authors. Here are the top co-authors by number of shared publications:
- Arun Maharaj
Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA
1 shared publication - Georgios Angelidakis
Department of Infectious Diseases, Infection Control and Employee Health, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
1 shared publication - Harrys Antonio Torres
Department of Infectious Diseases, Infection Control and Employee Health The University of Texas MD Anderson Cancer Center Houston Texas USA
1 shared publication - Issam Raad
Department of Infectious Diseases, Infection Control and Employee Health, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
1 shared publication - Khalid Ahmad Qidwai
Miami Cancer Institute, Baptist Health South Florida, Miami, United States
1 shared publication - Lydia Hodgson
Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA
1 shared publication
Latest Publications
- Open Access
Survival Determinants and Treatment Outcomes of Patients with Small Cell Lung Cancer and Brain Metastases: A U.S. National Analysis
Background/Objectives: Brain metastases (BM) are common in small cell lung cancer (SCLC) and portend poor outcomes. Contemporary determinants of survival in the modern treatment era remain incompletely defined. We evaluated factors associated with overall survival (OS) among patients with SCLC and BM using a recent, nationally representative dataset. Methods: We identified adults diagnosed with SCLC and brain metastases between 2018 and 2020 in the National Cancer Database (NCDB). Demographic, clinical, treatment, and survival data were extracted for analysis. Unadjusted OS was estimated using Kaplan–Meier methods. Multivariable Cox proportional hazards models identified factors associated with mortality, with proportional hazards (PH) assessed using scaled Schoenfeld residuals. Complementary Accelerated Failure Time (AFT) modeling was performed to confirm robustness. Results: Of 62,671 SCLC cases, 11,074 (17.7%) had BM, including 32.6% with brain-only disease. Median overall survival (mOS) was 6.6 months (95% CI, 6.47–6.87); patients with brain-only disease had an mOS of 8.8 months (8.38–9.26), compared with 5.95 months (5.75–6.18) for those with concurrent extracranial metastases. In multivariable analysis, age ≥ 65 years (HR 1.13, p < 0.001) was associated with higher mortality, whereas female sex (HR 0.87, p < 0.001), Black (HR 0.88, p = 0.001), Asian (HR 0.80, p = 0.022), and Hispanic (HR 0.87, p = 0.008) patients had lower hazards. Worse outcomes were associated with public or no insurance, lower income, non-academic facilities, and extracranial metastases; educational attainment was not significant. Proportional hazards assumptions were largely met with minor deviations, and AFT modeling confirmed consistent results. Treatment modality remained independently associated with survival in both models. Conclusions: In this contemporary national cohort, survival among patients with SCLC and brain metastases was influenced by multiple clinical, sociodemographic, and treatment factors, including age, sex, insurance status, facility type, and extent of metastatic disease. Treatment modality remained an independent predictor of survival. These results provide updated real-world benchmarks and highlight the need for prospective studies to define optimal management strategies in this high-risk population.
Open AccessSurvival Determinants and Treatment Outcomes of Patients with Small Cell Lung Cancer and Brain Metastases: A U.S. National Analysis
Background/Objectives: Brain metastases (BM) are common in small cell lung cancer (SCLC) and portend poor outcomes. Contemporary determinants of survival in the modern treatment era remain incompletely defined. We evaluated factors associated with overall survival (OS) among patients with SCLC and BM using a recent, nationally representative dataset. Methods: We identified adults diagnosed with SCLC and brain metastases between 2018 and 2020 in the National Cancer Database (NCDB). Demographic, clinical, treatment, and survival data were extracted for analysis. Unadjusted OS was estimated using Kaplan–Meier methods. Multivariable Cox proportional hazards models identified factors associated with mortality, with proportional hazards (PH) assessed using scaled Schoenfeld residuals. Complementary Accelerated Failure Time (AFT) modeling was performed to confirm robustness. Results: Of 62,671 SCLC cases, 11,074 (17.7%) had BM, including 32.6% with brain-only disease. Median overall survival (mOS) was 6.6 months (95% CI, 6.47–6.87); patients with brain-only disease had an mOS of 8.8 months (8.38–9.26), compared with 5.95 months (5.75–6.18) for those with concurrent extracranial metastases. In multivariable analysis, age ≥ 65 years (HR 1.13, p < 0.001) was associated with higher mortality, whereas female sex (HR 0.87, p < 0.001), Black (HR 0.88, p = 0.001), Asian (HR 0.80, p = 0.022), and Hispanic (HR 0.87, p = 0.008) patients had lower hazards. Worse outcomes were associated with public or no insurance, lower income, non-academic facilities, and extracranial metastases; educational attainment was not significant. Proportional hazards assumptions were largely met with minor deviations, and AFT modeling confirmed consistent results. Treatment modality remained independently associated with survival in both models. Conclusions: In this contemporary national cohort, survival among patients with SCLC and brain metastases was influenced by multiple clinical, sociodemographic, and treatment factors, including age, sex, insurance status, facility type, and extent of metastatic disease. Treatment modality remained an independent predictor of survival. These results provide updated real-world benchmarks and highlight the need for prospective studies to define optimal management strategies in this high-risk population.
- Open Access
- 16 September 2022
- Published by Wolters Kluwer Health in Medicine
- Vol. 101 (37) , e30608
Serologic versus molecular testing for screening for hepatitis C virus infection in patients with hematologic malignancies
Testing for antibody against hepatitis C virus (anti-HCV) is a low-cost diagnostic method worldwide; however, an optimal screening test for HCV in patients with cancer has not been established. We sought to identify an appropriate screening test for HCV infection in patients with hematologic malignancies and/or hematopoietic cell transplants (HCT). Patients in our center were simultaneously screened using serological (anti-HCV) and molecular (HCV RNA) assays (February 2019–November 2019). In total, 214 patients were enrolled in this study. Three patients (1.4%) were positive for anti-HCV, and 2 (0.9%) were positive for HCV RNA. The overall percentage agreement was 99.5% (95% CI: 97.4–99.9). There were no cases of seronegative HCV virus infection. The positive percentage agreement was 66.7% (95% CI: 20.8–93.9), and the negative percentage agreement was 100.0% (95% CI: 98.2–100.0). Cohen kappa coefficient was 0.80 (95% CI: 0.41–1.00, P < .0001). The diagnostic yield of screening for chronic HCV infection in patients with cancer is similar for serologic and molecular testing.
- 16 September 2022
- Published by Wolters Kluwer Health in Medicine
- Vol. 101 (37) , e30608
Open AccessSerologic versus molecular testing for screening for hepatitis C virus infection in patients with hematologic malignancies
Testing for antibody against hepatitis C virus (anti-HCV) is a low-cost diagnostic method worldwide; however, an optimal screening test for HCV in patients with cancer has not been established. We sought to identify an appropriate screening test for HCV infection in patients with hematologic malignancies and/or hematopoietic cell transplants (HCT). Patients in our center were simultaneously screened using serological (anti-HCV) and molecular (HCV RNA) assays (February 2019–November 2019). In total, 214 patients were enrolled in this study. Three patients (1.4%) were positive for anti-HCV, and 2 (0.9%) were positive for HCV RNA. The overall percentage agreement was 99.5% (95% CI: 97.4–99.9). There were no cases of seronegative HCV virus infection. The positive percentage agreement was 66.7% (95% CI: 20.8–93.9), and the negative percentage agreement was 100.0% (95% CI: 98.2–100.0). Cohen kappa coefficient was 0.80 (95% CI: 0.41–1.00, P < .0001). The diagnostic yield of screening for chronic HCV infection in patients with cancer is similar for serologic and molecular testing.