Rational and reliable diagnosis of periprosthetic hip and knee joint infection using two nuclear-medicine methods: 99mTc-ciprofloxacin and 99mTc-MDP scintigraphy by Pucar Dragan, Janković Zoran, Starčević Srđan

“…Sensitivity, specificity, and predictive values were also calculated. Results. Microbiologically confirmed PJI was found in 16 out of 39 hip prostheses. …”
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ATRIAL FIBRILLATION AND FLUTTER IN HYPERTROPHIC CARDIOMYOPATHY by N. S. Krylova, A. E. Demkina, F. M. Khashieva, E. A. Kovalevskaya, N. G. Poteshkina

“…With the method of binary logistic regression 3 main variables were selected as the most of predictable value for AF: age, LA size, PGmax in OTLV. …”
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Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana by Frederick Osei Owusu, Helena Addai-Manu, Esther Serwah Agbedinu, Emmanuel Konadu, Lydia Asenso, Mercy Addae, Joseph Osarfo, Brenda Abena Ampah, Douglas Aninng Opoku

“…Measures such as accuracy, sensitivity, specificity, negative and positive predictive values and area under the receiver operating characteristics curve (AUC-ROC) were used for the model performance. …”
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Econometric analysis and modeling of the dynamics of the balance of payments’ development in Azerbaijan by N. S. Ayyubova

“…The constructed autoregressive model is quite adequate, demonstrates stationarity for the time series of the dependent variable and can be considered suitable for predictive values of the current account of the balance of payments. …”
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Developing a learning tool for advanced life support and resuscitation: Performance Reflection Model for Resuscitation (PRM-Resus) by Yoriko Kikkawa, Leah McIntosh, Timothy J. Mavin, Melanie Barlow, Liam O’Brien, Steven Hodge, Sarah Janssens

“…The participating experts endorsed the tool’s clarity, structure, and educational value for novice learners. Internal consistency was high (α > 0.95). …”
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Relationship between diabetes-related clinical characteristics and preserved ratio impaired spirometry (PRISm): findings from NHANES 2007–2012 by Ting Yang, Chen Wang, Ke Huang, TingTing Huang, Xingyao Tang, Yanan Cui, Xu Chu, Yaodie Peng

“…PRISm was defined as having a forced expiratory volume in 1 s (FEV1) to forced vital capacity (FVC) ratio ≥0.7 and an FEV1 predicted value <80%. We examined the relationship between diabetes duration, fasting plasma glucose (FPG), glycated haemoglobin (HbA1c), log-transformed homeostasis model assessment for insulin resistance, C reactive protein and the number of comorbidities with PRISm in the entire population. …”
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Clinical impact of combined assessment of myocardial inflammation and fibrosis using myocardial biopsy in patients with dilated cardiomyopathy: a multicentre, retrospective cohort... by Toshihisa Anzai, Yasuo Sugano, Tetsuro Yokokawa, Yoshihiko Ikeda, Hatsue Ishibashi-Ueda, Kazufumi Nakamura, Hiromitsu Kanamori, Michiaki Hiroe, Kaoru Dohi, Takafumi Nakayama, Keiko Ohta Ogo, Kinta Hatakeyama, Yoshihiro Seo, Kyoko Imanaka-Yoshida

“…Here, we investigated the combined prognostic value of these two factors, as evaluated using myocardial biopsy samples.Methods This retrospective and multicentre study included patients with DCM—defined as LVEF of ≤45% and left diastolic diameter of >112% of predicted value, without evidence of secondary or ischaemic cardiomyopathy. …”
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Primary care patients presenting with unexpected weight loss in Australian general practices: replication of a diagnostic accuracy study by Brian D Nicholson, Jo-Anne Manski-Nankervis, Alex Lee, Meena Rafiq, Jon Emery, Barbara Hunter, Craig Nelson, Damien McCarthy, Brent Venning, George Fishman, Lucas de Mendonça, Sophie Chima, Deborah Daly, Chris Kearney, Fong Seng Lim, Javiera Martinez-Gutierrez

“…Objective We calculate positive predictive values (PPVs) of patients presenting with unexpected weight loss (UWL) being diagnosed with cancer within 6 months, using data from a population of Australian primary care patients to replicate results from a previous UK study.Design A diagnostic accuracy study involving calculation of the PPV for any cancer using retrospective data from routinely collected electronic healthcare records. …”
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Developing an electronic surprise question to predict end-of-life prognosis in a prospective cohort study of acute hospital admissions by Baldev Singh, Nisha Kumari-Dewat, Adam Ryder, Vijay Klaire, Hannah Jennens, Kamran Ahmed, Mona Sidhu, Ananth Viswanath, Emma Parry

“…For the GSFSQ-No classification, the mortality odds ratio was 12.4 (11.4–13.5) (p<0.001) vs GSFSQ-Yes (c-statistic 0.72 (0.70–0.73), p<0.001; accuracy, positive and negative predictive values 81.2%, 83.6%, 83.6%, respectively). Had the tool been utilised at the time of admission, the potential to reduce possibly avoidable subsequent hospital admissions, death-in-hospital and bed days was significant (p<0.001). …”
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Foreword

“…“Comparative Analysis of Historic Grade 1 Korean Textbooks at the Moscow Institute of Oriental Studies” contrasts materials from pre- and post-liberation periods, highlighting differences in pedagogy, orthography, and linguistic content, and underscoring their historical and educational value. Editors and Editorial Board invite the regular and new readers to engage with the content, to question, challenge, and reflect. …”
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Quality and content evaluation of thyroid eye disease treatment information on TikTok and Bilibili by Haisheng Wang, Huahong Zhang, Jiamin Cao, Feng Zhang, Wei Xiong

“…Quality, reliability, and educational value were assessed using the Global Quality Score (GQS), modified DISCERN (mDISCERN), Patient Education Materials Assessment Tool (PEMAT), and Journal of the American Medical Association (JAMA) benchmark criteria. …”
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Validating social media data reliability for cultural ecosystem services mapping in data-scarce GIAHS: A mixed-methods approach in hani rice Terraces by Luying Yang, Yanbo Li, Xiaoyan Wei

“…The results show that: (1) Among the places identified as possessing CESs via questionnaire method, 90 % of places with aesthetic value (AV), 90 % of places with cultural heritage value (CHV), 91 % places with cultural diversity value (CDV), and 80 % of places with scientific &amp; educational value (SEV) were also identified using social media data. …”
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Lessons from the Frontline: A Phenomenological Study into Faculty Members’ Experiences with Challenges of Remote Online Exams in Medical Sciences Universities by Mostafa Hadavinejad, Mahdieh Azin, Asieh Fatemidokht, Jalal Hassanshahi, Afsaneh Amiri Khorasani, Foad Iranmanesh

“…While online assessments can improve logistical efficiency and reduce certain stressors, ongoing concerns about academic integrity, technical preparedness, and educational value persist. Addressing these issues requires investment in reliable infrastructure, comprehensive faculty training, and innovative valid assessment methods.…”
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Construction of a predictive model for cognitive impairment among older adults in Northwest China by Yu Wang, Ni Wang, Yanjie Zhao, Xiaoyan Wang, Yuqin Nie, Liping Ding

“…The model established with the above 12 independent predictors achieved an area under the curve of 0.816 (95% CI: 0.807∼0.824); the risk prediction value of 0.211 was the best cut-off value and showed good sensitivity (75.50%), specificity (72.40%), accuracy (73.14%), F1 score (0.802), precision (89.91%), and recall (72.38%).ConclusionThe prevalence of cognitive impairment in older adults is high in Northwest China. …”
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Validation of an Automated High-Throughput Multiplex Real-Time PCR Assay for Detection of Enteric Protozoa by Rachel Lau, Jason Kwan, Kimberley Marks-Beaubrun, Ruben Cudiamat, Min Qun Ellen Chen, Krista Orejana, Filip Ralevski, Andrea K. Boggild

“…<b>Results</b>: Among 461 unpreserved fecal specimens, sensitivity, specificity, positive predictive and negative predictive values of the enteric multiplex for fresh specimens were as follows: 93%, 98.3%, 85.1%, 99.3% for Bh; 100% for all measures in <i>Cryptosporidium</i> and Cc; 100%, 99.3%, 88.5%, 100% for Df; 33.3%, 100%, 100%, 99.6% for Eh; and 100%, 98.9%, 68.8%, 100% for Gl, respectively. …”
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Improving prediction accuracy of hospital arrival vital signs using a multi-output machine learning model: a retrospective study of JSAS-registry data by Yasuyuki Kawai, Koji Yamamoto, Keisuke Tsuruta, Keita Miyazaki, Hideki Asai, Hidetada Fukushima

“…Model performance was assessed by comparing the predicted values with the actual hospital arrival measurements using mean absolute error, R² score, residual standard deviation, and Spearman’s correlation coefficient. …”
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A novel equation synthesis for estimating resting energy expenditure in prostate cancer patients by Nilüfer Acar Tek, Tevfik Koçak, Süleyman Yeşil, Tevfik Sinan Sözen

“…Malign prostate group (MPG) and benign prostate group (BPG) have the highest percentage of the accurate prediction value of Eq. 80.9% (novel equation MPG) and 64.2% (novel equation BPG). …”
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Multicenter development of a deep learning radiomics and dosiomics nomogram to predict radiation pneumonia risk in non-small cell lung cancer by Xun Wang, Aiping Zhang, Huipeng Yang, Guqing Zhang, Junli Ma, Shucheng Ye, Shuang Ge

“…The calibration curve showed that the predicted value of DLRDN was in good agreement with the actual value. …”
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Analysis of factors affecting the accuracy of 18F-fluorodeoxyglucose positron emission tomography combined with computed tomography in case of suspected prosthetic valve infective... by I. P. Aslanidi, E. Z. Golukhova, D. M. Pursanova, O. V. Mukhortova, I. V. Shurupova, I. V. Ekaeva, T. A. Katunina, T. A. Trifonova

“…Thus, the sensitivity, specificity and diagnostic accuracy of PET/CT in the diagnosis of PVE were 92%, 67% and 84%, respectively; positive and negative predictive values — 85% and 80%. The analysis of the odds ratio did not reveal the relationship of low inflammatory activity, the interval between surgery and PET/CT from 3 to 6 months, and long-term ABT before PET/CT with false PET/CT results (p&gt;0,05). …”
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Improving chest pain risk assessment: validation of HEART, TIMI, GRACE, EDACS-ADP, and HET for MACE prediction in the emergency department by Mehdi Nasr Isfahani, Hamidreza Mohseni, Elahe Nasri Nasrabadi, Nizal Sarrafzadegan

“…Diagnostic performance of the risk scores was evaluated using receiver operating characteristic (ROC) curve analysis, including calculation of sensitivity, specificity, positive and negative predictive values, and likelihood ratios at clinically relevant cut-off thresholds. …”
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