Enhancing Diagnostic Accuracy of Lung Nodules in Chest Computed Tomography Using Artificial Intelligence: Retrospective Analysis by Weiqi Liu, You Wu, Zhuozhao Zheng, Mark Bittle, Wei Yu, Hadi Kharrazi

“… BackgroundUncertainty in the diagnosis of lung nodules is a challenge for both patients and physicians. Artificial intelligence (AI) systems are increasingly being integrated into medical imaging to assist diagnostic procedures. …”
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Effect of glucagon-like peptide-1 receptor agonists on vascular risk factors among adults with type 2 diabetes and established atherosclerotic cardiovascular disease by Aaron King, Xi Tan, Neil Dhopeshwarkar, Rhonda Bohn, Katherine Dea, Charles E. Leonard, Adam de Havenon

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The predictive value of the serum creatinine-to-albumin ratio (sCAR) and lactate dehydrogenase-to-albumin ratio (LAR) in sepsis-related persistent severe acute kidney injury by Xiaoxiao Luo, Dongyang Liu, Cuicui Li, Jia Liao, Wuyang Lv, Yuchen Wang, Ruxue Diao, Yingyu Jin

“…Conclusions The Log(sCAR)_Log(LAR) score effectively predicted persistent severe SA-AKI, potentially aiding intensive care physicians in risk assessment.…”
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Clinical Utility of an Alzheimer’s Disease Blood Test Among Cognitively Impaired Patients: Results from the Quality Improvement PrecivityAD2 (QUIP II) Clinician Survey Study by Mark Monane, Demetrius M. Maraganore, Robert M. Carlile, Kim G. Johnson, David A. Merrill, Darren R. Gitelman, Kenneth S. Sharlin, Lawren A. VandeVrede, Kristi K. George, Jimin Wang, Tim West, Leslie Jacobs, Philip B. Verghese, Joel B. Braunstein

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A Systematic Review and Meta-analysis of Randomized Controlled Trials on Comparing Transabdominal Preperitoneal Versus Lichtenstein Operations for Primary Inguinal Hernia Repair by Muhammad Aslam Javed, Muhammad Arshad Abbas, Mudassar Murtaza, Wasif Majeed Chaudhry, Adnan Faisal, Muhammad Mohsin Gillani

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Polypharmacy or potentially inappropriate medications among older adults with COVID-19 in a secondary hospital in China and their association with mortality by Mian Mao, Shan Du, Yue Xu, Qiu Li, Ruoxi Luo, Qiaoqiao Zhou, Xiaoli Hu

“…This result highlights the importance of conducting clinical pharmacists-led medication reviews to identify PIMs of NMV/r and collaboratively working with the physicians to ensure medication appropriateness.…”
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A randomized controlled, trial on effects of mobile phone text messaging in combination with motivational interviewing versus standard infant feeding counselling on breastfeeding a... by Moleen Zunza, Lehana Thabane, Louise Kuhn, Christine Els, Carl Lombard, Mark F. Cotton, Taryn Young

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Pegloticase and Methotrexate Cotherapy in Patients With Uncontrolled Gout With Prior Pegloticase Monotherapy Failure: Findings of an Open‐Label Trial by Orrin M. Troum, John K. Botson, Katie Obermeyer, Bo Chao, Yang Song, Jennifer Zarzoso, Kjerstina Gutierrez, Supra Verma, Lissa Padnick‐Silver, Brian LaMoreaux

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A Machine Learning Model for Predicting Prognosis in HCC Patients With Diabetes After TACE by Wu L, Chen L, Zhang L, Liu Y, Ouyang D, Wu W, Lei Y, Han P, Zhao H, Zheng C

“…This prognostic prediction model may assist physicians in early clinical intervention and improve prognosis outcomes in patients with HCC and comorbid T2DM after TACE.Keywords: hepatocellular carcinoma, type II diabetes mellitus, transarterial chemoembolization, overall survival, SHapley Additive exPlanations…”
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Exploring Mortality and Prognostic Factors of Heart Failure with In-Hospital and Emergency Patients by Electronic Medical Records: A Machine Learning Approach by Yu CS, Wu JL, Shih CM, Chiu KL, Chen YD, Chang TH

“…To improve the explainability of the AI models, Shapley Additive Explanations methods were also conducted.Conclusion: Exploring HF mortality and its patterns related to clinical risk factors by machine learning models can help physicians make appropriate decisions when monitoring HF patients’ health quality in the hospital.Keywords: mortality, risk factor, cardiovascular disease, multivariate statistical analysis, machine learning, artificial intelligence…”
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An Easy and Quick Risk-Stratified Early Forewarning Model for Septic Shock in the Intensive Care Unit: Development, Validation, and Interpretation Study by Guanghao Liu, Shixiang Zheng, Jun He, Zi-Mei Zhang, Ruoqiong Wu, Yingying Yu, Hao Fu, Li Han, Haibo Zhu, Yichang Xu, Huaguo Shao, Haidan Yan, Ting Chen, Xiaopei Shen

“…ObjectiveWe propose a simple and fast risk-stratified forewarning model for SS to help physicians recognize patients in time. Moreover, further insights can be gained from the application of the model to improve our understanding of SS. …”
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Evidence adaptation and tailored implementation of family bereavement support in specialised palliative care: A multi-method study by Myrta Kohler, Qëndresa Thaqi, Silke Kuske, Torsten Schwalbach, Marco Riguzzi, Rahel Naef

“…Participants were palliative care staff working in the service, including nurses, physicians, chaplains, psychologists, and two service users. …”
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Albumin corrected anion gap and clinical outcomes in elderly patients with acute kidney injury caused or accompanied by sepsis: a MIMIC-IV retrospective study by Yongbin Wang, Lei Zhong, Jie Min, Jianhong Lu, Jinyu Zhang, Jiajun Su

“…This study primarily utilizes a comprehensive critical care database to examine the correlation of albumin corrected anion gap (ACAG) levels with short-term prognosis in elderly patients with AKI caused or accompanied by sepsis, thus assisting physicians in early identification of high-risk patients. …”
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Effectiveness of a Web-Based Medication Education Course on Pregnant Women’s Medication Information Literacy and Decision Self-Efficacy: Randomized Controlled Trial by Suya Li, Hui-Jun Chen, Jie Zhou, Yi-Bei Zhouchen, Rong Wang, Jinyi Guo, Sharon R Redding, Yan-Qiong Ouyang

“…A total of 108 participants were randomly divided into a control group (CG), which received routine prenatal care from nurses and physicians, and an intervention group (IG), which received an additional 3-week web-based medication education course based on the theory of planned behavior as part of routine prenatal care. …”
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The Association Between Mitral Regurgitation and Long-Term Outcomes in Acute Myocardial Infarction Undergoing Percutaneous Coronary Intervention: A Retrospective Large Sample Cohor... by Yan N, Wu P, Zhu B, Ma A, Wang X, Hai X, Ma X, Jiang H, Yang S

“…After controlling confounding variables completely, we found that moderate/severe MR compared to none MR was found to be significantly associated with 3-year MACCEs [hazard ratio (HR) = 1.83; 95% confidence interval (CI) = 1.21– 2.77; p = 0.0042], all-cause mortality (HR = 3.11; 95% CI = 1.75– 5.50; p=0.001) and RHF (HR = 1.69; 95% CI = 1.09– 2.62; p= 0.019) through Cox proportional hazards regression models.Conclusion: MR significantly predicted 3-year clinical outcomes in AMI patients undergoing PCI, highlighting the need for physicians to prioritize MR assessment in clinical practice.Keywords: mitral regurgitation, acute myocardial infarction, percutaneous coronary intervention, major adverse cardiac and cerebrovascular events…”
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Recomendaciones para el diagnóstico y tratamiento de las vasculitis asociadas a anticuerpos anticitoplasma de neutrófilo by Enrique Morales, Iñigo Rúa-Figueroa, José Luis Callejas Rubio, Ana Ávila Bernabéu, Ricardo Blanco Alonso, Maria C. Cid Xutgla, Gema Fernández Juárez, Natalia Mena-Vázquez, Juan José Ríos Blanco, Joaquín Manrique Escola, F. Javier Narváez García, Bernardo Sopeña, Luis F. Quintana Porras, Susana Romero-Yuste, Roser Solans Laqué

“…The aim of this document is to provide updated information and well-grounded clinical recommendations to practising physicians as to how to improve the diagnosis and treatment outcome of our patients.…”
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Recommendations for the diagnosis and treatment of anti-neutrophil cytoplasmic autoantibody associated vasculitis by Enrique Morales, Iñigo Rúa-Figueroa, José Luis Callejas Rubio, Ana Ávila Bernabéu, Ricardo Blanco Alonso, María C. Cid Xutgla, Gema Fernández Juárez, Natalia Mena-Vázquez, Juan José Ríos Blanco, Joaquín Manrique Escola, F. Javier Narváez García, Bernardo Sopeña, Luis F. Quintana Porras, Susana Romero-Yuste, Roser Solans Laqué

“…The aim of this document is to provide updated information and well-grounded clinical recommendations to practising physicians as to how to improve the diagnosis and treatment outcome of our patients. …”
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Acceptability and Implementation Challenges of Benzathine Penicillin G Secondary Prophylaxis for Rheumatic Heart Disease in Ethiopia: A Qualitative Study by Eshetie Melese Birru, Kevin T. Batty, Laurens Manning, Stephanie L. Enkel, Brioni R. Moore

“…Methodology: A descriptive qualitative study using semi-structured interview guides was conducted in four public hospitals in Ethiopia. Physicians and nurses who had at least 1 year of experience in delivering RHD secondary prophylaxis were recruited. …”
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Spatial and temporal changes of breast-conserving surgery rates and its influential factors among Chinese patients with breast cancer from 2013 to 2019: a registry-based study by Pengpeng Ye, Yuan Yang, Wei Hu, Lingyan Dai, Erwei Song, Shunrong Li, Liling Zhu, Kai Chen, Yanjie Xu, Xiaoyu Wang, Jianli Zhao, Jianrong He, Queran Lin, Tongrui Shang, Xiujuan Gui, Ziliang Zhong, Qianru Chen, Qing Yan, Xiaoliang Huang, Zijian Liang

“…Patients who were employed (vs unemployed, 1.58, 95% CI 1.49 to 1.68), received cross-city surgery (vs local surgery, 1.37, 95% CI 1.31 to 1.44), lived in a high-income city (vs low-income city, β=4.40, 95% CI 1.55 to 7.24) or in a city with a higher number of physicians per 100 000 residents (0.57, 95% CI 0.31 to 0.82) were more likely to receive BCS.Conclusions and relevance This study suggests a significant increase in BCS rates from 2013 to 2019 in Guangdong, China. …”
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Most prevalent jobs of doctoral degree graduates by detailed field of study by Marc Frenette, Tomasz Handler

“…For example, the most prevalent job among male doctoral graduates of medical science/scientist programs was general practitioners and family physicians (36.1%), followed by specialists in clinical and laboratory medicine (21.6%), specialists in surgery (10.3%), university professors and lecturers (6.4%), and biologists and related scientists (3.2%). …”
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