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Time-series comparison of COVID-19 case fatality rates across 21 countries with adjustment for multiple covariates
Yongmoon Kim, Bryan Inho Kim, Sangwoo Tak
Osong Public Health Res Perspect. 2022;13(6):424-434.   Published online November 28, 2022
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  • 97 Download
  • 1 Citations
Graphical AbstractGraphical Abstract AbstractAbstract PDF
Although it is widely used as a measure for mortality, the case fatality rate (CFR) ofcoronavirus disease 2019 (COVID-19) can vary over time and fluctuate for many reasons otherthan viral characteristics. To compare the CFRs of different countries in equal measure, weestimated comparable CFRs after adjusting for multiple covariates and examined the mainfactors that contributed to variability in the CFRs among 21 countries.Methods: For statistical analysis, time-series cross-sectional data were collected from OurWorld in Data,, and GISAID. Biweekly CFRs of COVID-19 were estimated bypooled generalized linear squares regression models for the panel data. Covariates includedthe predominant virus variant, reproduction rate, vaccination, national economic status,hospital beds, diabetes prevalence, and population share of individuals older than age 65. Intotal, 21 countries were eligible for analysis.Results: Adjustment for covariates reduced variation in the CFRs of COVID-19 across countriesand over time. Regression results showed that the dominant spread of the Omicron variant,reproduction rate, and vaccination were associated with lower country-level CFRs, whereasage, the extreme poverty rate, and diabetes prevalence were associated with higher countrylevel CFRs.Conclusion: A direct comparison of crude CFRs among countries may be fallacious, especiallyin a cross-sectional analysis. Our study presents an adjusted comparison of CFRs over timefor a more proper comparison. In addition, our findings suggest that comparing CFRs amongdifferent countries without considering their context, such as the epidemic phase, medicalcapacity, surveillance strategy, and socio-demographic traits, should be avoided.


Citations to this article as recorded by  
  • Comments on the article "Time-series comparison of COVID-19 case fatality rates across 21 countries with adjustment for multiple covariates"
    Gaetano Perone
    Osong Public Health and Research Perspectives.2023; 14(2): 146.     CrossRef
A spatial analysis of the association between social vulnerability and the cumulative number of confirmed deaths from COVID-19 in United States counties through November 14, 2020
Baksun Sung
Osong Public Health Res Perspect. 2021;12(3):149-157.   Published online June 2, 2021
  • 5,575 View
  • 148 Download
  • 4 Citations
Graphical AbstractGraphical Abstract AbstractAbstract PDF
Coronavirus disease 2019 (COVID-19) is classified as a natural hazard, and social vulnerability describes the susceptibility of social groups to potential damages from natural hazards. Therefore, the objective of this study was to examine the association between social vulnerability and the cumulative number of confirmed COVID-19 deaths (per 100,000) in 3,141 United States counties.
The cumulative number of COVID-19 deaths was obtained from USA Facts. Variables related to social vulnerability were obtained from the Centers for Disease Control and Prevention Social Vulnerability Index and the 2018 5-Year American Community Survey. Data were analyzed using spatial autoregression models.
Lowest income and educational level, as well as high proportions of single parent households, mobile home residents, and people without health insurance were positively associated with a high cumulative number of COVID-19 deaths.
In conclusion, there are regional differences in the cumulative number of COVID-19 deaths in United States counties, which are affected by various social vulnerabilities. Hence, these findings underscore the need to take social vulnerability into account when planning interventions to reduce COVID-19 deaths.


Citations to this article as recorded by  
  • Social vulnerability and COVID-19 in Maringá, Brazil
    Matheus Pereira Libório, Oseias da Silva Martinuci, Patrícia Bernardes, Natália Cristina Alves Caetano Chav Krohling, Guilherme Castro, Henrique Leonardo Guerra, Eduardo Alcantara Ribeiro, Udelysses Janete Veltrini Fonzar, Ícaro da Costa Francisco
    Spatial Information Research.2023; 31(1): 51.     CrossRef
  • A county-level analysis of association between social vulnerability and COVID-19 cases in Khuzestan Province, Iran
    Mahmoud Arvin, Shahram Bazrafkan, Parisa Beiki, Ayyoob Sharifi
    International Journal of Disaster Risk Reduction.2023; 84: 103495.     CrossRef
  • Global mapping of epidemic risk assessment toolkits: A scoping review for COVID-19 and future epidemics preparedness implications
    Bach Xuan Tran, Long Hoang Nguyen, Linh Phuong Doan, Tham Thi Nguyen, Giang Thu Vu, Hoa Thi Do, Huong Thi Le, Carl A. Latkin, Cyrus S. H. Ho, Roger C. M. Ho, Md Nazirul Islam Sarker
    PLOS ONE.2022; 17(9): e0272037.     CrossRef
  • COVID-19 mortality and deprivation: pandemic, syndemic, and endemic health inequalities
    Victoria J McGowan, Clare Bambra
    The Lancet Public Health.2022; 7(11): e966.     CrossRef
Epidemiological, imaging, laboratory, and clinical characteristics and factors related to mortality in patients with COVID-19: a single-center study
Zohreh Azarkar, Hamid Salehiniya, Toba Kazemi, Hamid Abbaszadeh
Osong Public Health Res Perspect. 2021;12(3):169-176.   Published online May 26, 2021
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  • 113 Download
  • 6 Citations
AbstractAbstract PDF
Coronavirus disease 2019 (COVID-19) is a novel pandemic. Considerable differences in disease severity and the mortality rate have been observed in different parts of the world. The present study investigated the characteristics and outcomes of patients hospitalized with COVID-19 in Iran.
We established a retrospective cohort to study hospitalized COVID-19 patients in Iran. Epidemiological, imaging, laboratory, and clinical characteristics and outcomes were recorded from medical documents. The chi-square test, t-test, and logistic regression models were used to analyze the data. A p<0.05 was considered to indicate statistical significance.
In total, 364 cases (207 males and 157 females) were analyzed. The most common symptoms were cough, fever, and dyspnea. Multifocal bilateral ground-glass opacities with peripheral distribution were the predominant imaging finding. The mean age of patients was 54.28±18.81 years. The mean age of patients who died was 71.50±14.60 years. The mortality rate was 17.6%. The total proportion of patients with a comorbidity was 47.5%, and 84.4% of patients who died had a comorbidity. Sex, history of diabetes mellitus, and dyslipidemia were not significantly associated with mortality (p>0.05). However, mortality showed significant relationships with body mass index; age; history of hypertension, chronic kidney disease (CKD), ischemic heart disease, cerebrovascular accident (CVA), pulmonary disease, and cancer; and abnormal high-resolution computed tomography (HRCT) findings (p<0.05 for all). Cancer had the highest odds ratio.
Comorbidities (especially cancer, CKD, and CVA), severe obesity, old age, and abnormal HRCT findings affected the health outcomes of patients hospitalized with COVID-19.


Citations to this article as recorded by  
  • Effects of SARS-CoV-2 infections in patients with cancer on mortality, ICU admission and incidence: a systematic review with meta-analysis involving 709,908 participants and 31,732 cancer patients
    Mehmet Emin Arayici, Nazlican Kipcak, Ufuktan Kayacik, Cansu Kelbat, Deniz Keskin, Muhammed Emin Kilicarslan, Ahmet Veli Kilinc, Sumeyye Kirgoz, Anil Kirilmaz, Melih Alihan Kizilkaya, Irem Gaye Kizmaz, Enes Berkin Kocak, Enver Kochan, Begum Kocpinar, Fatm
    Journal of Cancer Research and Clinical Oncology.2023; 149(7): 2915.     CrossRef
  • Risk Factors Associated with Severity and Death from COVID-19 in Iran: A Systematic Review and Meta-Analysis Study
    Ahmad Mehri, Sahar Sotoodeh Ghorbani, Kosar Farhadi-Babadi, Elham Rahimi, Zahra Barati, Niloufar Taherpour, Neda Izadi, Fatemeh Shahbazi, Yaser Mokhayeri, Arash Seifi, Saeid Fallah, Rezvan Feyzi, Koorosh Etemed, Seyed Saeed Hashemi Nazari
    Journal of Intensive Care Medicine.2023; 38(9): 825.     CrossRef
  • The association between stroke and COVID-19-related mortality: a systematic review and meta-analysis based on adjusted effect estimates
    Shuwen Li, Jiahao Ren, Hongjie Hou, Xueya Han, Jie Xu, Guangcai Duan, Yadong Wang, Haiyan Yang
    Neurological Sciences.2022; 43(7): 4049.     CrossRef
  • Mental health status of dentists during COVID‐19 pandemic: A systematic review and meta‐analysis
    Hamid Salehiniya, Sare Hatamian, Hamid Abbaszadeh
    Health Science Reports.2022;[Epub]     CrossRef
  • Laboratory biomarker predictors for disease progression and outcome among Egyptian COVID-19 patients
    Lamiaa A Fathalla, Lamyaa M Kamal, Omina Salaheldin, Mahmoud A Khalil, Mahmoud M Kamel, Hagar H Fahim, Youssef AS Abdel-Moneim, Jawaher A Abdulhakim, Ahmed S Abdel-Moneim, Yomna M El-Meligui
    International Journal of Immunopathology and Pharm.2022; 36: 039463202210962.     CrossRef
  • Obesity and Infection: What Have We Learned From the COVID-19 Pandemic
    Emilia Vassilopoulou, Roxana Silvia Bumbacea, Aikaterini Konstantina Pappa, Athanasios N. Papadopoulos, Dragos Bumbacea
    Frontiers in Nutrition.2022;[Epub]     CrossRef
Global variation of COVID-19 mortality rates in the initial phase
Saman Hasan Siddiqui, Azza Sarfraz, Arjumand Rizvi, Fariha Shaheen, Mohammad Tahir Yousafzai, Syed Asad Ali
Osong Public Health Res Perspect. 2021;12(2):64-72.   Published online April 29, 2021
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  • 147 Download
  • 8 Citations
AbstractAbstract PDFSupplementary Material
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused devastation in over 200 countries. Italy, Spain, and the United States (US) were most severely affected by the first wave of the pandemic. The reasons why some countries were more strongly affected than others remain unknown. We identified the most-affected and less-affected countries and states and explored environmental, host, and infrastructure risk factors that may explain differences in the SARS-CoV-2 mortality burden.
We identified the top 10 countries/US states with the highest deaths per population until May 2020. For each of these 10 case countries/states, we identified 6 control countries/states with a similar population size and at least 3 times fewer deaths per population. We extracted data for 30 risk factors from publicly available, trusted sources. We compared case and control countries/states using the non-parametric Wilcoxon rank-sum test, and conducted a secondary cluster analysis to explore the relationship between the number of cases per population and the number of deaths per population using a scalable EM (expectation–maximization) clustering algorithm.
Statistically significant differences were found in 16 of 30 investigated risk factors, the most important of which were temperature, neonatal and under-5 mortality rates, the percentage of under-5 deaths due to acute respiratory infections (ARIs) and diarrhea, and tuberculosis incidence (p<0.05)
Countries with a higher burden of baseline pediatric mortality rates, higher pediatric mortality from preventable diseases like diarrhea and ARI, and higher tuberculosis incidence had lower rates of coronavirus disease 2019-associated mortality, supporting the hygiene hypothesis.


Citations to this article as recorded by  
  • Demographic Characteristics and Status of Vaccinated Individuals with a History of COVID-19 Infection Pre- or Post-Vaccination: A Descriptive Study of a Nationally Representative Sample in Saudi Arabia
    Yazed AlRuthia, Haya F. Al-Salloum, Omar A. Almohammed, Amani S. Alqahtani, Hana A. Al-Abdulkarim, Yousef M. Alsofayan, Sami S. Almudarra, Sara H. AlQahtani, Abdullah Almutlaq, Khaled Alabdulkareem, Bander Balkhi, Hamoud T. Almutairi, Abdullah S. Alanazi,
    Vaccines.2022; 10(2): 323.     CrossRef
  • Temporal variation, socioeconomic status, and out‐of‐hospital deaths as factors that influence mortality rates among hospitalized COVID‐19 patients receiving ACEIs/ARBs
    Owais M. Aftab, Anurag Modak, Jai C. Patel
    The Journal of Clinical Hypertension.2022; 24(4): 519.     CrossRef
  • Coinfection of leptospirosis and coronavirus disease 2019: A retrospective case series from a coastal region in South India
    Nitin Gupta, William Wilson, Prithvishree Ravindra, Roshini Raghu, Kavitha Saravu
    Journal of Medical Virology.2022; 94(9): 4508.     CrossRef
  • Dietary, comorbidity, and geo-economic data fusion for explainable COVID-19 mortality prediction
    Milena Trajanoska, Risto Trajanov, Tome Eftimov
    Expert Systems with Applications.2022; 209: 118377.     CrossRef
  • Paraoxonase 1 rs662 polymorphism, its related variables, and COVID-19 intensity: Considering gender and post-COVID complications
    Zohreh-Al-Sadat Ghoreshi, Mojtaba Abbasi-jorjandi, Gholamreza Asadikaram, Mohsen Sharif-zak, Fatemeh Seyedi, Mohammad Khaksari Haddad, Mohammadreza Zangouey
    Experimental Biology and Medicine.2022; : 153537022211285.     CrossRef
  • Clinical Effect of Q192R Paraoxonase 1 Polymorphism and its Related Variables on the COVID-19 Intensity Considering Gender and Post-COVID Complications
    Zohreh-al-sadat Ghoreshi, Mojtaba abasi, Gholamreza Asadikaram, Mohsen sharif-zak, Mitra Rezazadeh-Jabalbarzi, Hamidreza rashidinejad, Mohammadreza Zangouey
    SSRN Electronic Journal .2022;[Epub]     CrossRef
  • Risk Factors and a Novel Score (CARI-65) Predicting Mortality in COVID-19 Patients
    Fayaz Ahmad Sofi, Umar Hafiz Khan, Sonaullah Shah, Nazia Mehfooz, Farhana Siraj, Afshan Shabir, Tajamul Hussain Shah, Muzaffar Bindroo, Mushtaq Ahmad, Rafi Ahmed Jan, Asma Shah, Faizan Wani
    Indian Journal of Respiratory Care.2022; 11(2): 154.     CrossRef
  • Variances in BCG protection against COVID-19 mortality: A global assessment
    Zouina Sarfraz, Azza Sarfraz, Krunal Pandav, Sarabjot Singh Makkar, Saman Hasan Siddiqui, Gaurav Patel, Tania Platero-Portillo, Bishnu Mohan Singh, Mohamed Iburahim Haja Maideen, Deepika Sarvepalli, Muzna Sarfraz, Jose Cardona-Guzman, Marcos A. Sanchez-Go
    Journal of Clinical Tuberculosis and Other Mycobac.2021; 24: 100249.     CrossRef
Comparative Analysis of the Trends in Medical Utilization of Cancer Inpatients in Korea
Hyun-Ju Lee, Sung-Soo Kim
Osong Public Health Res Perspect. 2017;8(5):342-350.   Published online October 31, 2017
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  • 30 Download
AbstractAbstract PDF

Cancer has attracted worldwide attention. The incidence and prevalence are increasing, and it is the main cause of death. The purpose of this study was to identify the characteristics of hospitalized cancer patients.


This study is a secondary data study using the Korean National Hospital Discharge In-depth Injury Survey Data conducted annually by the Korea Centers for Disease Control and Prevention. Using these data, we extracted inpatients who principal diagnosis is cancer for nine years from 2005 to 2013.


According to the analysis, the annual trend of cancer inpatients is steadily increasing. In 2025, it is expected to increase to about 670,000 inpatients. A cancer diagnosis created a change in medical utilization depending on the characteristics of patients and hospital. Men are more at risk of cancer than women. The number of hospital beds and hospital days were inversely proportional to cancer inpatients. There was also a difference in the equity of medical utilization by region. Other cancer management policies should be based on sex.


Populations between the ages of 45 and 64 years should be a priority in cancer policy. Because of the long-term hospitalization of patients with death as the outcome, a terminal cancer patient care facility is needed. These conclusions can provide a basis for various health policies.

Epidemiology and Inequality in the Incidence and Mortality of Nasopharynx Cancer in Asia
Neda Mahdavifar, Mahshid Ghoncheh, Abdollah Mohammadian-Hafshejani, Bahman Khosravi, Hamid Salehiniya
Osong Public Health Res Perspect. 2016;7(6):360-372.   Published online December 31, 2016
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  • 20 Download
  • 41 Citations
AbstractAbstract PDF
One of the most common head and neck cancers is nasopharynx cancer. Knowledge about the incidence and mortality of this disease and its distribution in terms of geographical areas is necessary for further study and better planning. Therefore, this study was conducted with the aim of determining the incidence and mortality rates of nasopharynx cancer and its relationship with the Human Development Index (HDI) in Asia in 2012.
The aim of this ecologic study was to assess the correlation between age-specific incidence rate (ASIR) and age-specific mortality rate (ASMR) with HDI and its components, which include the following: life expectancy at birth, mean years of schooling, and gross national income per capita. Data about SIR and SMR for every Asian country for 2012 were obtained from the global cancer project. We used the correlation bivariate method for the assessment. Statistical significance was assumed if p < 0.05. All reported p values are two-sided. Statistical analyses were performed using SPSS (Version 15.0, SPSS Inc.).
A total of 68,272 cases (males, 71.02%; females, 28.97%; sex ratio, 2.45) and 40,530 mortalities (males, 71.63%; females, 28.36%; sex ratio, 2.52) were recorded in Asian countries in 2012. The five countries with the highest ASIR of nasopharynx cancer were Malaysia, Singapore, Indonesia, Vietnam, and Brunei, and the five countries with the highest ASMR were Indonesia, Vietnam, Singapore, Malaysia, and Brunei. The correlation between HDI and ASIR was 0.097 (p = 0.520) [0.105 in men (p = 0.488) and 0.119 in women (p = 0.901)]. The correlation between HDI and ASMR was –0.102 (p = 0.502) [–0.072 in men (p = 0.633) and –0.224 in women (p = 0.134)].
Nasopharynx cancer is native to Southeast Asia. The highest incidence and mortality rates are found in Malaysia, Singapore, Indonesia, Vietnam, and Brunei. No significant relation was found between the standardized incidence and mortality rates of nasopharynx cancer and the HDI components. Further studies are recommended in Southeast Asian countries in order to find the etiology of cancer, as well as its diagnosis and treatment.


Citations to this article as recorded by  
  • Study of Three Potential Diagnostic Biomarkers in Nasopharyngeal Carcinoma Samples from Guilan, North of Iran
    Saghi Jani Kargar Moghaddam, Amaneh Mohammadi Roushandeh, Mehryar Habibi Roudkenar, Shadman Nemati, Nima Najafi-Ghalehlou, Toofan Pakzad, Masoud Hamidi
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    Mahmoud Kandeel
    Pharmaceuticals.2023; 16(4): 485.     CrossRef
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    Yanbo Sun, Yun Liu, Hanqi Chu, Zhen-Jian Zhuo
    Journal of Immunology Research.2023; 2023: 1.     CrossRef
  • The application of Aptamer in biomarker discovery
    Yongshu Li, Winnie Wailing TAM, Yuanyuan Yu, Zhenjian Zhuo, Zhichao Xue, Chiman Tsang, Xiaoting Qiao, Xiaokang Wang, Weijing Wang, Yongyi Li, Yanyang Tu, Yunhua Gao
    Biomarker Research.2023;[Epub]     CrossRef
  • Rapid and sensitive detection of Epstein-Barr virus antibodies in nasopharyngeal carcinoma by chemiluminescence strips based on iron-porphyrin single atom nanozyme
    Daji Wang, Jie Wang, Dan Liu, Jiuyang He, Meiying Wang, Haibing Huang, Guohui Nie, Hui Ding, Xiyun Yan
    Nano Research.2023;[Epub]     CrossRef
  • Circular RNA circ_0008450 regulates the proliferation, migration, invasion, apoptosis and chemosensitivity of CDDP-resistant nasopharyngeal carcinoma cells by the miR-338-3p/SMAD5 axis
    Lin Liu, Bin Lu, Yan Li
    Anti-Cancer Drugs.2022; 33(1): e260.     CrossRef
  • Hypermethylation of the RASSF1A gene promoter as the tumor DNA marker for nasopharyngeal carcinoma
    Thuan Duc Lao, Hue Hong Thieu, Dung Huu Nguyen, Thuy Ai Huyen Le
    The International Journal of Biological Markers.2022; 37(1): 31.     CrossRef
  • miR-135b-5p Targets SIRT1 to Inhibit Deacetylation of c-JUN and Increase MMP7 Expression to Promote Migration and Invasion of Nasopharyngeal Carcinoma Cells
    Yali Cheng
    Molecular Biotechnology.2022; 64(6): 693.     CrossRef
  • Trends in the Incidence of Nasopharyngeal Cancer in Saudi Arabia Across One Decade (2007 to 2016)
    Abdualrahman F Kabli, Khalil F Miyajan, Abdulmohsen S Alqurashi, Ammar K Mandili, Revan M Mujahed, Bayan F Hafiz, Roaa M Mandora, Ameen Z Herabi
    Cureus.2022;[Epub]     CrossRef
  • Causes of Death in Long-Term Nasopharyngeal Carcinoma Survivors
    Shi-Ping Yang, Ming-Yue Rao, Qing-Shuang Chen, Ping Zhou, Chen-Lu Lian, San-Gang Wu
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Epstein-Barr Virus (EBV) Is Mostly Latent and Clonal in Angioimmunoblastic T Cell Lymphoma (AITL)
    Racha Bahri, François Boyer, Mohamad Adnan Halabi, Alain Chaunavel, Jean Feuillard, Arnaud Jaccard, Sylvie Ranger-Rogez
    Cancers.2022; 14(12): 2899.     CrossRef
  • Ferroptosis-related gene ATG5 is a novel prognostic biomarker in nasopharyngeal carcinoma and head and neck squamous cell carcinoma
    Ming Shi, Jiangnan Du, Jingjing Shi, Yunchuanxiang Huang, Yan Zhao, Lan Ma
    Frontiers in Bioengineering and Biotechnology.2022;[Epub]     CrossRef
  • Platelet to Lymphocytes Ratio to Predict Nasopharyngeal Carcinoma Progressivity
    Goesti Yudistira, Yussy Afriani Dewi, Melati Sudiro
    Open Access Macedonian Journal of Medical Sciences.2022; 10(B): 2189.     CrossRef
  • Skin sparing in intensity-modulated radiation therapy of nasopharyngeal carcinoma
    MisbaHamid Baba, BenoyK Singh, Shaq ulQamar Wani
    Journal of Medical Physics.2022; 47(3): 243.     CrossRef
  • Assessment of Response to Chemoradiation and Radiation Therapy in Patients with Nasopharyngeal Carcinoma
    Sebastian Ario Susanto, Yussy Afriani Dewi, Raden Ayu Hardianti Saputri
    Open Access Macedonian Journal of Medical Sciences.2022; 10(B): 2307.     CrossRef
  • Genetic variants in NKG2D axis and susceptibility to Epstein–Barr virus-induced nasopharyngeal carcinoma
    Nguyen Hoang Viet, Nguyen Quang Trung, Le Thanh Dong, Ly Quoc Trung, J. Luis Espinoza
    Journal of Cancer Research and Clinical Oncology.2021; 147(3): 713.     CrossRef
  • Corticosteroid Therapy in Optic Neuropathy Secondary to Nasopharyngeal Carcinoma
    Zulaikha Wahab, Evelyn Tai, Wan-Hazabbah Wan Hitam, Khairy Shamel Sonny Teo
    Cureus.2021;[Epub]     CrossRef
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    Yiqun Dai, Xiaolong Sun, Bohan Li, Hui Ma, Pingping Wu, Yingping Zhang, Meilin Zhu, Hong-Mei Li, Minjian Qin, Cheng-Zhu Wu
    Molecules.2021; 26(6): 1604.     CrossRef
  • δ-Tocotrienol induces apoptosis and inhibits proliferation of nasopharyngeal carcinoma cells
    Junjun Shen, Tao Yang, Yiping Tang, Tianyi Guo, Ting Guo, Tao Hu, Feijun Luo, Qinlu Lin
    Food & Function.2021; 12(14): 6374.     CrossRef
  • WNT8B as an Independent Prognostic Marker for Nasopharyngeal Carcinoma
    Chawalit Ngernsombat, Pongphol Prattapong, Noppadol Larbcharoensub, Krittika Khotthong, Tavan Janvilisri
    Current Oncology.2021; 28(4): 2529.     CrossRef
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    Hematology/Oncology Clinics of North America.2021; 35(5): 963.     CrossRef
  • Association between stage and histopathological type of nasopharyngeal cancer on occurrence of postirradiation otitis media with effusion
    Lina Lasminingrum, Shinta Fitri Boesoeri, Sally Mahdiani, Eveline Sabrina Ranti
    International Journal of Surgery Open.2021; 36: 100376.     CrossRef
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    Pui Yan Siak, Alan Soo-Beng Khoo, Chee Onn Leong, Boon-Peng Hoh, Shiau-Chuen Cheah
    Cancers.2021; 13(14): 3490.     CrossRef
  • Carcinomatous‑like mastitis due to axillary lymphadenopathy in a case of nasopharyngeal carcinoma: A case report
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    Experimental and Therapeutic Medicine.2021;[Epub]     CrossRef
  • Dosimetric Comparison of Helical Tomotherapy, Volume-Modulated Arc Therapy, and Fixed-Field Intensity-Modulated Radiation Therapy in Locally Advanced Nasopharyngeal Carcinoma
    Shan Lu, Huiqi Fan, Xueyuan Hu, Xin Li, Yingying Kuang, Deyang Yu, Shanshan Yang
    Frontiers in Oncology.2021;[Epub]     CrossRef
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    Pubade Kaewpruk, Somvilai Chakrabandhu, Somsak Wanwilairat, Wannapha Nobnop
    Journal of Radiotherapy in Practice.2020; 19(3): 237.     CrossRef
  • Combination of Plasma MIF and VCA-IgA Improves the Diagnostic Specificity for Patients With Nasopharyngeal Carcinoma
    Ning Xue, Shan Xing, Weiguo Ma, Jiahe Sheng, Zhiliang Huang, Qingxia Xu
    Technology in Cancer Research & Treatment.2020; 19: 153303382093577.     CrossRef
  • Pathological features of nasopharyngeal carcinoma: A single-center study in Vietnam
    Nguyen Cuong Pham, Thanh Xuan Nguyen, Nguyen Tuong Pham, Thanh Chinh Phan, Hai Thanh Phan
    Annals of Cancer Research and Therapy.2020; 28(2): 125.     CrossRef
  • Association between variant alleles of major histocompatibility complex class II regulatory genes and nasopharyngeal carcinoma susceptibility
    Ping Zhou, Sha Liu, Nan-Nan Ji, Shuang Zhang, Peng Wang, Bing Lin, Ping Yang, Xian-Tao Lin, Yi-Zheng Cai, Zi-Ming Wang, Han Zhou, Shi-Yao Sun, Xin-Bao Hao
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  • Hyperperfusion Syndrome and Baroreflex Failure following Carotid Artery Angioplasty and Stenting for Symptomatic Radiation-Associated Carotid Artery Stenosis
    Hui-Meng Chang
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  • Novel patterns of the Epstein-Barr nuclear antigen (EBNA-1) V-Val subtype in EBV-associated nasopharyngeal carcinoma from Vietnam
    LD Thuan, ND Kha, NT Minh, LHA Thuy
    Balkan Journal of Medical Genetics.2019; 22(1): 61.     CrossRef
  • miR-29c regulates resistance to paclitaxel in nasopharyngeal cancer by targeting ITGB1
    Limin Huang, Chaoquan Hu, Hui Chao, Rongpin Wang, He Lu, Hong Li, Hui Chen
    Experimental Cell Research.2019; 378(1): 1.     CrossRef
  • Systematic review and meta-analysis of prognostic microRNA biomarkers for survival outcome in nasopharyngeal carcinoma
    Shanthi Sabarimurugan, Chellan Kumarasamy, Siddhartha Baxi, Arikketh Devi, Rama Jayaraj, Yukinori Takenaka
    PLOS ONE.2019; 14(2): e0209760.     CrossRef
  • Epstein‐Barr virus strain variation and cancer
    Teru Kanda, Misako Yajima, Kazufumi Ikuta
    Cancer Science.2019; 110(4): 1132.     CrossRef
  • Nasopharyngeal cancer in Saudi Arabia: Epidemiology and possible risk factors
    Abdullah Dakheel Alotaibi, Hussain Gadelkarim Ahmed, Abdelbaset Mohamed Elasbali
    Journal of Oncological Sciences.2019; 5(1): 23.     CrossRef
  • Association BetweenLMP-1,LMP-2, and miR-155 Expression as Potential Biomarker in Nasopharyngeal Carcinoma Patients: A Case/Control Study in Vietnam
    Thuan Duc Lao, Thuy Ai Huyen Le
    Genetic Testing and Molecular Biomarkers.2019; 23(11): 815.     CrossRef
  • Lapatinib sensitivity in nasopharyngeal carcinoma is modulated by SIRT2-mediated FOXO3 deacetylation
    Sathid Aimjongjun, Zimam Mahmud, Yannasittha Jiramongkol, Glowi Alasiri, Shang Yao, Ernesto Yagüe, Tavan Janvilisri, Eric W.-F. Lam
    BMC Cancer.2019;[Epub]     CrossRef
  • PPARβ/δ Agonist GW501516 Inhibits Tumorigenicity of Undifferentiated Nasopharyngeal Carcinoma in C666-1 Cells by Promoting Apoptosis
    Yangyang Ji, Hui Li, Fang Wang, Linglan Gu
    Frontiers in Pharmacology.2018;[Epub]     CrossRef
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PHRP : Osong Public Health and Research Perspectives