Article
Oncology
Gaohaer Kadeerhan, Bo Xue, Xiao-Lin Wu, Wei-Nan Chen, Dong-Wen Wang
Summary: The incidence of prostate cancer with bone and visceral involvement has increased in recent years, but the incidence rate of bone metastasis remained stable during 2017-2019. There has been a slight improvement in overall survival and cancer-specific survival among patients with bone and visceral metastasis.
FRONTIERS IN ONCOLOGY
(2023)
Article
Oncology
Zenat Ahmed Khired, Mohammad H. Hussein, Jessan A. Jishu, Ahmed A. Toreih, Aly A. M. Shaalan, Mohammed M. Ismail, Manal S. Fawzy, Eman A. Toraih
Summary: Thyroid cancer is a common endocrine cancer, and bone metastasis significantly affects survival rates. There is no definitive cure, and current treatments are palliative. This study assessed the incidence and influence of bone metastasis on thyroid cancer patients, identifying risk factors and outcomes that can guide clinical decisions and research.
Article
Oncology
Meng-Pan Li, Wen-Cai Liu, Bo-Lin Sun, Nan-Shan Zhong, Zhi-Li Liu, Shan-Hu Huang, Zhi-Hong Zhang, Jia-Ming Liu
Summary: The objective of this study was to develop a machine learning algorithm for predicting bone metastasis (BM) in non-small cell lung cancer (NSCLC) and establish a simple web predictor based on the algorithm. Data from NSCLC patients between 2010 and 2018 in the SEER database and patients from the First Affiliated Hospital of Nanchang University between 2007 and 2016 were included. Six machine learning algorithms were used to build predictive models, and the XGB algorithm performed the best with AUC scores of 0.808 and 0.841 in internal and external validation, respectively. A web predictor based on the XGB algorithm was developed for predicting the risk of BM in NSCLC patients.
FRONTIERS IN ONCOLOGY
(2023)
Article
Oncology
Weihua Li, Zixiang Guo, Zehui Zou, Momen Alswadeh, Heng Wang, Xuqiang Liu, Xiaofeng Li
Summary: This study aimed to identify prognostic factors associated with survival and construct a practical nomogram to predict overall survival (OS) in lung cancer patients with bone metastasis (BM). The nomogram proved to be a reliable tool for risk assessment and clinical decision-making for individualized treatment of patients with BM from lung cancer.
FRONTIERS IN ONCOLOGY
(2022)
Article
Medicine, General & Internal
Yu Huang, Chengxin Xie, Qinglong Li, Xiao Huang, Wenwen Huang, Dong Yin
Summary: A prognostic nomogram was constructed to predict the overall survival of patients with bone-metastatic bladder cancer (BMBC) based on data from the Surveillance, Epidemiology, and End Results database. Six independent prognostic factors were identified and included in the nomogram construction. The nomogram showed good predictive accuracy and could serve as a useful tool for predicting overall survival in BMBC patients and guiding treatment decisions.
Article
Oncology
Hongyu Zhang, Xinzhan Jiang, Le Jiao, Meiyan Sui
Summary: This study developed a novel prognostic nomogram to predict overall survival for prostate cancer patients with bone metastases. The nomogram integrates multiple factors and can guide precise clinical treatment strategies for these patients.
JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
(2023)
Article
Oncology
Xiaoshuang Lyu, Bin Luo
Summary: This study analyzed the clinical features and prognostic factors for HER2-positive breast cancer patients with bone metastases, identifying seven prognostic factors for predicting cancer-specific survival. A nomogram was constructed for accurate survival prediction in these patients.
Article
Medicine, General & Internal
Fengkai Yang, Ruhan Zhao, Xiaohui Huang, Yucheng Wang
Summary: Patients with endometrial cancer who develop bone metastasis have a poor prognosis. This study analyzed data from over 54,000 patients to identify risk factors for bone metastasis and predictors of overall survival. Results showed that lung metastasis, liver metastasis, brain metastasis, and certain tumor characteristics were associated with bone metastasis, while liver metastasis, brain metastasis, chemotherapy, surgery, and histologic type were significant factors for overall survival. The diagnostic nomogram and prognostic nomogram developed in this study had good performance in predicting individual risk and overall survival for endometrial cancer with bone metastasis.
Article
Genetics & Heredity
Chao Huang, Jialin He, Zichuan Ding, Hao Li, Zongke Zhou, Xiaojun Shi
Summary: This study identified independent risk factors for bone metastasis (BM) in head and neck cancer (HNC) patients and developed a diagnostic nomogram to predict BM risk. The diagnostic nomogram demonstrated a high predictive capacity and can assist doctors in allocating medical resources more reasonably and achieving personalized management, particularly for HNC patients with potentially high BM risk.
FRONTIERS IN GENETICS
(2022)
Article
Medicine, General & Internal
Junsen Deng, Di Zhang, Wenming Zhang, Junhui Li
Summary: This study developed a prediction model for the risk and prognosis of bone metastasis in Asian females with breast cancer through population-based analysis, and effectively predicted the overall survival in BCBM patients. These models can assist in preventing skeletal-related events and evaluating the risks and benefits of surgery for metastatic lesions in BCBM patients.
INTERNATIONAL JOURNAL OF GENERAL MEDICINE
(2021)
Article
Medicine, General & Internal
Liming Jiang, Yuexin Tong, Jiajia Jiang, Dongxu Zhao
Summary: Two new predictive models were established to predict the risk of bone metastasis in elderly kidney cancer patients and the 12-, 24-, and 36-months overall survival in elderly kidney cancer patients with bone metastasis.
FRONTIERS IN MEDICINE
(2023)
Article
Oncology
Wen-Cai Liu, Zhi-Qiang Li, Zhi-Wen Luo, Wei-Jie Liao, Zhi-Li Liu, Jia-Ming Liu
Summary: The study aimed to establish a machine learning prediction model for bone metastasis in newly diagnosed thyroid cancer patients. A total of 17,138 patients were included, with 166 (0.97%) developing bone metastases. The RF model had better predictive performance compared to other models, with an AUC of 0.917, accuracy of 0.904, recall rate of 0.833, and specificity of 0.905.
Article
Medicine, General & Internal
Sheng Yang, Hongmin Zhou, Chaobo Feng, Ningze Xu, Yunshan Fan, Zhi Zhou, Yunfei Xu, Guoxin Fan, Xiang Liao, Shisheng He
Summary: This study aimed to explore the prognostic factors of bladder cancer with bone metastasis (BCBM) and develop prediction models for overall survival (OS) and cancer-specific survival (CSS) in BCBM patients. Prognostic factors were identified through Cox regression analyses, and nomograms were established and validated internally and externally. The nomograms showed significant advantages in predicting OS and CSS, with good clinical benefit and distinct stratification performance. Rating: 8/10.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Medicine, General & Internal
Yun Han, Bo Wang, Jinjin Zhang, Su Zhou, Jun Dai, Meng Wu, Yan Li, Shixuan Wang
Summary: Population-based data on newly diagnosed cervical cancer patients' bone metastasis risk are lacking. This study developed various predictive models using machine learning algorithms to assess the risk of bone metastasis, with the random forest model showing the best performance. Important factors influencing bone metastasis included organ-site metastasis, TNM stage, and age.
FRONTIERS IN MEDICINE
(2021)
Article
Oncology
Emma L. Herbach, Bradley D. McDowell, Elizabeth A. Chrischilles, Benjamin J. Miller
Summary: The volume of surgeries performed at hospitals for bone metastatic disease (MDB) does not significantly affect patient outcomes, while medical school affiliation is associated with lower mortality rates. However, being treated at Commission on Cancer accredited hospitals is linked to higher risk of death after surgery.
AMERICAN JOURNAL OF CLINICAL ONCOLOGY-CANCER CLINICAL TRIALS
(2022)
Article
Economics
T. Joseph Mattingly, Julia F. Slejko, Eberechukwu Onukwugha, Eleanor M. Perfetto, Shyamasundaran Kottilil, C. Daniel Mullins
Editorial Material
Health Care Sciences & Services
C. Daniel Mullins, Sarah Tanveer, Gail Graham, Claudia Rose Baquet
JOURNAL OF COMPARATIVE EFFECTIVENESS RESEARCH
(2020)
Article
Anesthesiology
Theresa Bedford, Timileyin Adediran, Nathaniel R. Haycock, C. Daniel Mullins, Michelle Medeiros, Thelma Wright, Michele Curatolo, Lynette Hamlin, Luana Colloca
Summary: Limited research on optimal opioid tapering methods has led to an ethical and clinical dilemma. Experiments show benefits of concealed reduction in eliminating negative expectations and prolonging analgesic effects. Patients and providers show positive attitudes towards concealed opioid reduction, supporting the need for further randomized controlled trials to compare concealed and overt tapering methods.
Editorial Material
Health Care Sciences & Services
Michelle Medeiros, T. Rosie Love, Gerard P. Slobogean, Sheila Sprague, Eleanor M. Perfetto, Nathan N. O'Hara, C. Daniel Mullins
JOURNAL OF COMPARATIVE EFFECTIVENESS RESEARCH
(2021)
Article
Medicine, General & Internal
Moaz Abdelwadoud, Jacob Collen, Hillary Edwards, C. Daniel Mullins, Sophia L. Jobe, Christian Labra, Vincent F. Capaldi, Samson Z. Assefa, Scott G. Williams, Christopher L. Drake, Jennifer S. Albrecht, Rachel Manber, Alexandra Mahoney, Jeffrey Bevan, Michael A. Grandner, Emerson M. Wickwire
Summary: Sleep disorders are prevalent among U.S. active duty service members and present challenges to military health, safety, and performance. There is a lack of alignment among patients, health providers, and economic decision-makers, creating barriers to effective sleep management. This study aimed to engage diverse stakeholders in improving sleep disorders management in the military. Findings suggest that sustained effort and collaboration, along with the use of telehealth and technology, are necessary to solve the military sleep problem and improve outcomes for patients, providers, and the military as a whole.
Article
Health Care Sciences & Services
Hillary A. Edwards, Jennifer Huang, Liz Jansky, C. D. Mullins
Summary: This study provides a recommended 'patient engagement translation table' that identifies evidence-based methods for meaningful patient engagement along a ten-step framework for continuous engagement. Evidence-based engagement methods included community partnerships, focus groups, interviews, meetings, sharing print materials, social media, storytelling, surveys and including patients as research team members. The translation table is designed to assist investigators in determining appropriate engagement methods for meaningful interactions with stakeholders.
JOURNAL OF COMPARATIVE EFFECTIVENESS RESEARCH
(2021)
Review
Oncology
Bernard Bright Davies-Teye, Michelle Medeiros, Cynthia Chauhan, Claudia Rose Baquet, C. Daniel Mullins
Summary: Oncology trials are increasingly focusing on pragmatism and meaningful patient engagement. This study offers practical guidance on how to achieve both goals, leading to increased participation, faster recruitment, better retention, and adoption of innovative technologies in community-based care.
Editorial Material
Medicine, General & Internal
Jacob Collen, Vincent F. Capaldi, Scott G. Williams, Christian Labra, Samson Z. Assefa, Moaz Abdelwadoud, C. Daniel Mullins, Rachel Manber, Alexandra Mahoney, Jeffrey Bevan, Christopher L. Drake, Jennifer S. Albrecht, Hillary Edwards, Michael A. Grandner, Emerson M. Wickwire
Article
Health Care Sciences & Services
Nabil Natafgi, Olayinka Ladeji, Shanikque Blackwell, Yoon Duk Hong, Gail Graham, Marcia Cort, C. Daniel Mullins
Summary: This study aims to explore the differences between patients and providers in their definitions of health and healthcare experiences. Patients identified areas where health systems can help them stay healthy or become healthier, including affordability, accessibility, clinician/patient communication, addressing social determinants, and stigma and trust. Providers acknowledged that healthcare experiences are not always perfect, and patients expect providers to address topics beyond medical care. To align expectations, there is a need for increased patient involvement in care administration and improved dialogue about these differences between patients and providers.
HEALTH EXPECTATIONS
(2022)
Article
Surgery
Christina M. Paluskievicz, Daniel R. Chang, Kyle W. Blackburn, Douglas J. Turner, Kashif M. Munir, C. Daniel Mullins, John A. Olson, Yinin Hu
Summary: This study investigated the impact of the American Thyroid Association's updated guidelines on the practice patterns of low-risk papillary thyroid cancer treatment. The analysis of data revealed a decrease in the utilization of surgery and radioactive iodine treatment for low-risk cases in accordance with the guidelines, and these changes resulted in significant cost savings.
JOURNAL OF SURGICAL RESEARCH
(2022)
Review
Medicine, General & Internal
Benjamin J. R. Buckley, Deirdre A. Lane, Peter Calvert, Juqian Zhang, David Gent, C. Daniel Mullins, Paul Dorian, Shun Kohsaka, Stefan H. Hohnloser, Gregory Y. H. Lip
Summary: The study compared the safety and effectiveness of apixaban with other DOACs and VKAs, finding that patients using apixaban had lower risks of stroke/SE and lower risk of bleeding.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Oncology
Rahul Khairnar, Lyudmila DeMora, Howard M. Sandler, W. Robert Lee, Ester Villalonga-Olives, C. Daniel Mullins, Francis B. Palumbo, Deborah W. Bruner, Fadia T. Shaya, Soren M. Bentzen, Amit B. Shah, Shawn Malone, Jeff M. Michalski, Ian S. Dayes, Samantha A. Seaward, Michele Albert, Adam D. Currey, Thomas M. Pisansky, Yuhchyau Chen, Eric M. Horwitz, Albert S. DeNittis, Felix Feng, Mark V. Mishra
Summary: The study aimed to compare the predictive ability of mapping algorithms derived from cross-sectional and longitudinal data. By using data from a trial of patients with low-risk prostate cancer, researchers found that models obtained from baseline cross-sectional data showed the best predictive performance. Models using only EPIC domain/subdomain data had better predictive ability when combined data was used, while models using baseline data outperformed others when patient covariates were considered.
JCO CLINICAL CANCER INFORMATICS
(2022)
Article
Surgery
Emily Z. Ma, Jennifer H. Kuo, Rana Malek, Douglas J. Turner, John A. Olson Jr, Julia F. Slejko, Daniel Mullins, Yinin Hu
Summary: This study aimed to evaluate the cost-effectiveness of radioactive iodine versus total thyroidectomy for Graves' disease. The results showed that total thyroidectomy is more cost-effective than radioactive iodine, with surgery being more cost-effective in 88.2% of model simulations. The study also emphasized the importance of posttreatment quality of life in the model outcomes.
Editorial Material
Health Care Sciences & Services
Michael A. Rosen, Cheryl Dennison Himmelfarb, Thomas Bauer, C. Daniel Mullins
JOURNAL OF COMPARATIVE EFFECTIVENESS RESEARCH
(2022)
Article
Public, Environmental & Occupational Health
Nabil Natafgi, Olayinka Ladeji, Yoon Duk Hong, Jacqueline Caldwell, C. Daniel Mullins
Summary: The study found that participants generally considered the Learning Health Care Community (LHCC) to be a viable model for improving healthcare experiences, with key success factors including home visits, presentation of research evidence, and incorporation of social determinants and patient input.
QUALITATIVE HEALTH RESEARCH
(2021)