Housing insecurity pathways to physiological and epigenetic manifestations of health among aging adults: a conceptual model by Aarti C. Bhat, Aarti C. Bhat, Aarti C. Bhat, Andrew Fenelon, Andrew Fenelon, Andrew Fenelon, David M. Almeida, David M. Almeida, David M. Almeida

“…Moderating factors affecting the associations between housing insecurity and manifestations of stress include government assistance, chronic discrimination/unfair treatment, and individual differences. …”
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Prognostic Factors for COVID-19 Hospitalized Patients with Preexisting Type 2 Diabetes by Yuanyuan Fu, Ling Hu, Hong-Wei Ren, Yi Zuo, Shaoqiu Chen, Qiu-Shi Zhang, Chen Shao, Yao Ma, Lin Wu, Jun-Jie Hao, Chuan-Zhen Wang, Zhanwei Wang, Richard Yanagihara, Youping Deng

“…An individualized risk prediction nomogram was developed and evaluated by discrimination and calibration. Results. Nearly 15% (16/108) of hospitalized COVID-19 patients with T2D died. …”
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Lasater clinical judgment rubric in nursing education: a Turkish validity and reliability study by Esra Sezer, Hilal Yıldız Çelik, Ükke Karabacak, Kathie Lasater

“…Interobserver agreement was analyzed using the kappa and intraclass correlation coefficients. Moreover, the discrimination of the rubric was evaluated using an independent samples t-test between the lower and upper 27% groups. …”
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MR Imaging of Prostate Cancer: Diffusion Weighted Imaging and (3D) Hydrogen 1 (1H) MR Spectroscopy in Comparison with Histology by J. Yamamura, G. Salomon, R. Buchert, A. Hohenstein, J. Graessner, H. Huland, M. Graefen, G. Adam, U. Wedegaetner

“…Sensitivity and specificity of ADC and metabolic ratio (MET)—both separately and in combination—for identification of tumor tissue was computed for variable discrimination thresholds to evaluate its receiver operator characteristic (ROC). …”
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Major Adverse Kidney Events in Hospitalized Older Patients With Acute Kidney Injury: Machine Learning–Based Model Development and Validation Study by Xiao-Qin Luo, Ning-Ya Zhang, Ying-Hao Deng, Hong-Shen Wang, Yi-Xin Kang, Shao-Bin Duan

“…The eXtreme Gradient Boosting algorithm was applied to establish a prediction model for MAKE30. Model discrimination was evaluated by the area under the receiver operating characteristic curve (AUROC). …”
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MUC1 and glycan probing of CA19-9 captured biomarkers from cyst fluids and serum provides enhanced recognition of ovarian cancer by Shamima Afrin Ruma, Rufus Vinod, Shruti Jain, Kaisa Huhtinen, Johanna Hynninen, Janne Leivo, Kim Pettersson, Karin Sundfeldt, Kamlesh Gidwani

“…Compared to reference CA19-9 and CA125 immunoassays, nanoparticle aided detection using MUC16, Ma695 and STn antibodies and lectin WGA provided, both separately and combined, improved discrimination of EOC and borderline cancers from benign samples when applied to 60 cyst fluid specimens. …”
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Integrating Indigenous healing practices within collaborative care models in primary healthcare in Canada: a rapid scoping review by Ginny Brunton, Pierre Côté, Silvano Mior, Hainan Yu, Anne Taylor-Vaisey, Melissa Corso, Astrid DeSouza, Carolina Cancelliere, Kathy MacLeod-Beaver

“…Objectives In November 2020, a series of reports, In Plain Sight, described widespread Indigenous-specific stereotyping, racism and discrimination limiting access to medical treatment and negatively impacting the health and wellness of Indigenous Peoples in British Columbia, Canada. …”
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The impact of the COVID-19 pandemic on the research activity and working experience of clinical academics, with a focus on gender and ethnicity: a qualitative study in the UK by Carmen Soto, Jessica Elizabeth Morgan, Paul Crampton, Paul Alexander Tiffin, Gabrielle M Finn, Amelia Kehoe, Ellie Taylor, John AG Buchanan, Abisola Olatokunbo Balogun

“…Our study elucidates the direct and systemic discrimination that creates barriers to women’s career trajectories in clinical academia. …”
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Machine learning model and nomogram to predict the risk of heart failure hospitalization in peritoneal dialysis patients by Liping Xu, Fang Cao, Lian Wang, Weihua Liu, Meizhu Gao, Li Zhang, Fuyuan Hong, Miao Lin

“…For all the above endpoints, the ML models demonstrated better discrimination than Cox regression.Conclusions We developed and validated a novel method to predict the risk factors of HF and all-cause mortality that integrates readily available clinical, laboratory, and electrocardiographic variables to predict the risk of HF among PD patients.…”
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Impact of a Virtual Care Navigation Service on Member-Reported Outcomes Among Lesbian, Gay, Bisexual, Transgender, and Queer Populations: Case Study by Seul Ki Choi, Jaclyn Marshall, Patrina Sexton Topper, Andrew Pregnall, José Bauermeister

“…This is particularly important as discrimination and stigma against LGBTQ+ communities persist in the United States. …”
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The relationship between gallstone disease and the genetic variants of the sterol transporter adenosine triphosphate–binding cassette G8 and G5 in Egyptians by Menna A. Hassan, Salwa M. Abo El-Khair, Noha M. Mesbah, Dina M. Abo-Elmatty, Asmaa R. Abdel-Hamed

“…Genotyping of single nucleotide polymorphisms (SNPs) was performed using allelic discrimination pre-designed TaqMan polymerase chain reaction method. …”
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Improving timing resolution of BGO for TOF-PET: a comparative analysis with and without deep learning by Francis Loignon-Houle, Nicolaus Kratochwil, Maxime Toussaint, Carsten Lowis, Gerard Ariño-Estrada, Antonio J. Gonzalez, Etiennette Auffray, Roger Lecomte

“…However, the slower scintillation light from BGO causes significant time walk with leading edge discrimination (LED), which degrades the coincidence time resolution (CTR). …”
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Functional Dependency as a Marker for Positive SARC-F Screen among Older Persons at the Emergency Department by Edward Chong, Eileen Fabia Goh, Wee Shiong Lim

“…MBI (AUC=0.82, 95% CI 0.77–0.84) and IADL (AUC=0.78, 95% CI 0.72–0.84) showed superior discrimination for SARC-F+ compared to other measures (AUC=0.58–0.70). …”
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Catlet scoring system as a new predictor for in-stent restenosis in patients with chronic coronary artery disease undergoing percutaneous coronary intervention with drug-eluting st... by Juan Wang, Mingchao Zhang, Weipeng Gan, Mingxing Xu, JiaYan Zhou, Lingfei Yang, Yongsheng Ke

“…Patients in the ISR group had significantly the history of chronic obstructive pulmonary disease(COPD), adverse lesion characteristic, higher Catlet score compared with patients in the non-ISR group.The CatLet score was capable of predicting in-stent restenosis after adjustment for risk factors; The Multivariable-adjusted model showed good calibration and good discrimination (area under ROC curve = 0.7164) for ISR. …”
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Patients’ Perspectives on the Preference for the Gender of Medical Professionals in Perioperative Care and Attitudes Toward Anaesthesiologists: A Cross-sectional Study by Usha Devi, Minnu Panditrao, Shilpa Bansal

“…Currently, women make up about 50% of the medical workforce; however, they still face discrimination in healthcare due to their gender, both from patients and professional colleagues. …”
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An intraoperative nomogram for predicting secondary margin positivity in breast conserving surgery utilizing frozen section analysis by Cheng Li, Yan Jiang, Xumiao Wu, Yong Luo, Qi Li

“…It demonstrates good discriminative ability, calibration, and clinical utility.…”
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Development and external validation of the SMA2SH2ERS risk prediction model for aneurysmal subarachnoid haemorrhage in the general population: a population-based prospective cohort... by Kristiina Rannikmäe, Vita M. Klieverik, Jos P. Kanning, Ina L. Rissanen, Amy E. Martinsen, Bendik S. Winsvold, Mirjam I. Geerlings, Ynte M. Ruigrok

“…Predictive performance was assessed using discrimination and calibration, and we corrected for overfitting using bootstrapping techniques. …”
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Development and validation of a nomogram for predicting perioperative transfusion in children undergoing cardiac surgery with CPB by Wenting Wang, He Wang, Jia Liu, Yu Jin, Bingyang Ji, Jinping Liu

“…The model’s performance was evaluated based on discrimination, calibration, and clinical utility in both cohorts. …”
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Development and validation of the “Adjustment Disorder Scale for Medically Ill Patients - ETAM” by Juan Pablo Zapata-Ospina, Natalia Rodríguez, Ayda Margarita Rodríguez, Jenny García-Valencia, Mercedes Jiménez-Benítez, Nicolás Martínez-Ramos, Diana Restrepo Bernal, Ana Lucía Gallego, Carolina Gómez, Luis Fernando Tabares, Carlos Cardeño-Castro, Daniel Camilo Aguirre-Acevedo

“…Criterion validity evidence was obtained with an independent psychiatrist’s diagnosis, with an AUROC of 0.99, and convergent validity was consistent with hypotheses of correlation with other instruments with similar constructs. Discrimination and difficulty parameters were calculated for each item.ConclusionThe ETAM is a scale with evidence of validity and reliability that can be used for the diagnosis of AD in medically ill patients in Colombia.…”
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Development of the children's primitive reflex integration assessment scale by Meng Wang, Jing Yu, Hongyao Li, Chongran Zhao, Yichao Li, Xinyue Yang

“…Employing a convenience sampling method, participants were selected from first and second-grade students in three primary schools in Liaoning province, Shenyang city, from May to July 2023. Item Discrimination Method (IDM), Critical Ratio Method (CRM), and Internal Consistency Coefficient Method (ICCM) were used for item analysis of pilot testing data. …”
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