A Customized Next-Generation Sequencing-Based Panel to Identify Novel Genetic Variants in Dementing Disorders: A Pilot Study by Giuseppe Lanza, Francesco Calì, Mirella Vinci, Filomena Irene Ilaria Cosentino, Mariangela Tripodi, Rosario Sebastiano Spada, Mariagiovanna Cantone, Rita Bella, Teresa Mattina, Raffaele Ferri

“…The advancements in the next-generation sequencing (NGS) techniques have allowed for rapid, efficient, and cost-time-effective genetic variant detection. However, in both clinical practice and research setting, sequencing is still often limited to the use of gene panels clinically targeted on the genes underlying the disease of interest. …”
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Meta-analysis identifies the major impact of patient classification on the ACPA association with rheumatoid arthritis-associated interstitial lung disease (RA-ILD) by Bartosz Kaczmarczyk, Carmen Conde, Antonio Gonzalez, the MARILD network

“…Results We found 513 unique records, containing 31 eligible data sets. The meta-analysis preceding the search for moderators showed a remarkable heterogeneity (pQ = 5.7 × 10–7). …”
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Chikungunya outbreak (2017) in Bangladesh: Clinical profile, economic impact and quality of life during the acute phase of the disease. by Mohammad Sorowar Hossain, Md Mahbub Hasan, Muhammad Sougatul Islam, Salequl Islam, Miliva Mozaffor, Md Abdullah Saeed Khan, Nova Ahmed, Waheed Akhtar, Shahanaz Chowdhury, S M Yasir Arafat, Md Abdul Khaleque, Zohora Jameela Khan, Tashmim Farhana Dipta, Shah Md Zahurul Haque Asna, Md Akram Hossain, Km Sultanul Aziz, Abdullah Al Mosabbir, Enayetur Raheem

“…Our findings would contribute to establish an effective syndromic surveillance system for early detection and timely public health intervention of future chikungunya outbreaks in resource-limited settings like Bangladesh.…”
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Epidemiological factors associated with the absence of previous HIV testing among HIV-positive persons in Singapore, 2012–2017 by Chen Seong Wong, Angela Chow, Li Wei Ang, Yee Sin Leo, Matthias Paul Han Sim Toh, Sophia Archuleta, Vernon Lee, Irving Charles Boudville

“…Objective To assess the temporal trend and identify risk factors associated with the absence of previous HIV testing prior to their diagnosis among HIV-positive persons in Singapore.Study design Cross-sectional.Setting and participants We analysed data of HIV-positive persons infected via sexual transmission, who were notified to the National HIV Registry in 2012–2017.Outcomes Epidemiological factors associated with the absence of HIV testing prior to diagnosis were determined separately for two groups of HIV-positive persons: early and late stages of HIV infection at diagnosis.Results 2188 HIV-positive persons with information on HIV testing history and CD4 cell count were included in the study. …”
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Treatment outcomes of multi-drug-resistant and rifampicin-resistant tuberculosis with and without isolation of nontuberculous mycobacteria between 2018-2021: A retrospective cohort... by Elizabeth Tabitha Abbew, Roger Laryea, Ama Owusuaa Kwakye, Yaw Adusi Poku, Dorcas Obiri-Yeboah, Lutgarde Lynen, Tom Decroo, Leen Rigouts, Natalie Lorent

“…Demographic, clinical, and diagnostic data were collected under the National Tuberculosis Control Program framework. …”
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Analysis of risk factors and construction of a predictive model for contralateral occult carcinoma in patients with unilateral papillary thyroid carcinoma by ShiYi Zhao, Wei Yan, Jin Yu, DeJie Chen

“…ObjectiveThis study aims to investigate the risk factors associated with contralateral occult carcinoma in patients with unilateral papillary thyroid carcinoma and to develop a corresponding prediction model to enhance early detection and clinical management of occult carcinoma.MethodsThe clinical data of 430 patients who underwent total thyroidectomy for unilateral papillary thyroid carcinoma at Xiangyang Central Hospital between January 2021 and December 2022 were collected. …”
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Surveillance of infection severity: a registry study of laboratory diagnosed Clostridium difficile. by Iryna Schlackow, A Sarah Walker, Kate Dingle, David Griffiths, Sarah Oakley, John Finney, Ali Vaughan, Martin J Gill, Derrick W Crook, Tim E A Peto, David H Wyllie

“…<h4>Conclusions</h4>Automated electronic systems providing early warning of the changing severity of infectious conditions can be established using routinely collected laboratory hospital data. In the settings studied here these systems have higher performance than those monitoring mortality, at least in C. difficile infection. …”
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CATS: a bioinformatic tool for automated Cas9 nucleases activity comparison in clinically relevant contexts by Ettore Rocchi, Ettore Rocchi, Federico Magnani, Federico Magnani, Gastone Castellani, Gastone Castellani, Antonio Carusillo, Martina Tarozzi, Martina Tarozzi

“…One of the key parameters in CATS is the proximity of PAM sites, which helps minimize sequence composition bias. The tool integrates data from continuously updated sources and includes ClinVar information to facilitate the targeting of disease-causing mutations.ResultsCATS significantly reduces the time and effort required for CRISPR/Cas9 experimental design. …”
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Understanding women's uptake and adherence in Option B+ for prevention of mother-to-child HIV transmission in Papua, Indonesia: A qualitative study. by Christina Lumbantoruan, Michelle Kermode, Aloisius Giyai, Agnes Ang, Margaret Kelaher

“…Development of interview guides was informed by the socio-ecological framework. Qualitative data were managed with NVivo11 software and themes were analysed using template analysis. …”
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Clinical Algorithms and the Legacy of Race-Based Correction: Historical Errors, Contemporary Revisions and Equity-Oriented Methodologies for Epidemiologists by Horsfall LJ, Bondaronek P, Ive J, Poduval S

“…Future efforts should focus on incorporating diverse data sources, capturing true social and biological health determinants, implementing bias detection and fairness strategies, ensuring transparent reporting, and engaging with diverse communities. …”
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Weight-Adjusted Waist Index as a Novel Predictor of Chronic Obstructive Pulmonary Disease: Evidence from NHANES 2013-2018 by Wang H, Chen W, Guo F, Xu Z, Luo X, Wu J, Zhu Y, Wang Z

“…Subgroup analyses confirmed robustness across demographics.Conclusion: WWI is a simple, cost-effective tool for early COPD detection, outperforming BMI and waist circumference, especially in resource-limited settings, enabling timely intervention and reducing disease burden.Keywords: weight-adjusted-waist index, chronic obstructive pulmonary disease, obesity, NHANES, cross-sectional study…”
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Role of platelet counts to spleen length ratio and platelet-albumin to spleen length ratio as non-invasive predictors of esophageal varices in chronic liver disease patients: A cro... by Y Sudheer Varma, Vijay Kumar, Ratnadeep Biswas, Vishnu Shankar Ojha, Divendu Bhushan, Ramesh Kumar, Rajeev Nayan Priyadarshi

“…Methods: A cross-sectional study was conducted over a period of 6 months, enrolling 121 newly diagnosed CLD patients without prior treatment for EV or CLD. Data collected, included demographic and clinical details, platelet count, serum albumin, and spleen length via ultrasonography. …”
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Approaches to predict future type 2 diabetes mellitus and chronic kidney disease: A scoping review. by Anna Bußmann, Christian Speckemeier, Alexandra Ehm, Bettina Kollar, Anja Neumann, Silke Neusser

“…Both conditions are often preceded by a latency period during which lifestyle changes and/or medications have the potential to delay or even prevent disease onset. Thus, detection of those at an increased risk of these diseases is of great importance. …”
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Evaluating Large Language Models for Burning Mouth Syndrome Diagnosis by Suga T, Uehara O, Abiko Y, Toyofuku A

“…Differences were also observed in reasoning patterns and additional data requests across the large language models.Discussion: Despite high overall accuracy, the models exhibited variations in reasoning approaches and occasional errors, underscoring the importance of clinician oversight. …”
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Psychometric Properties of the Emotional Exhaustion Scale for Children and Adolescents (EES-CA) by Jonathan Martínez-Líbano, Catalina Coronado Reyno, Roberto Iturra Lara, Guillermo Barahona-Fuentes

“…Emotional exhaustion in children and adolescents has become a significant concern in post-pandemic educational settings, with increased risks of anxiety, depression, and academic disengagement. …”
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Herpes Simplex virus type 2 seroprevalence and risk factors among adolescents and youth with HIV-1 in Northern, Tanzania by Rashid Madebe, Ireen Kiwelu, Arnold Ndaro, Filbert Francis, Vito Baraka, Zahra Theilgaard, Terese Katzenstein

“…However, there is limited data on the HSV-2 seroprevalence among adolescents and youth living with HIV-1. …”
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Wearable Technologies for Health Promotion and Disease Prevention in Older Adults: Systematic Scoping Review and Evidence Map by Yue Sun, Ji Chen, Mengmeng Ji, Xiaomei Li

“…Two evaluation approaches for wearable devices were used: performance metrics in controlled settings and real-world assessments with end users. …”
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Spatial distribution of pathogenic fungal isolates from clinical samples in Uganda: Diagnostic gaps and trends, January 2020 - May 2024. by Priscilla Atim, Samuel Gidudu, Bernard Ssentalo Bagaya, Andrew Kambugu, Grace Najjuka, Atuhaire D Winfred, Benedict Kanamwanji, Esther Nabende, Adella Atukunda, Jonathan Kabazzi, Sylvia Joyoo, Hildah Tendo Nansikombi, Alex Riolexus Ario

“…<h4>Background</h4>Pathogenic fungi cause approximately 13 million infections and 1.5 million deaths worldwide each year, yet surveillance and diagnosis remain inadequate in resource-limited settings. In Uganda, fungal infections affect approximately 4,099,357 per 45 million people annually, resulting in severe invasive diseases if untreated. …”
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Extracting Knowledge from Machine Learning Models to Diagnose Breast Cancer by José Manuel Martínez-Ramírez, Cristobal Carmona, María Jesús Ramírez-Expósito, José Manuel Martínez-Martos

“…This study discusses the roles of the identified parameters in cancer development, thus underscoring the potential of explainable machine learning models for enhancing early breast cancer diagnosis by focusing on explainability and the use of serum biomarkers.The combination of both can lead to improved early detection and personalized treatments, emphasizing the potential of these methods in clinical settings. …”
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Epidemiological and genetic characteristics of clinical carbapenemase-producing Enterobacterales isolates from Batna hospitals in Algeria by Amel Benbouza, Ahmed Kassah-Laouar, Widad Chelaghma, Fayza Bouziane, Yassina Mebarki, Jean-Marc Rolain, Lotfi Loucif

“…The bla OXA−48−like gene alone was detected in 147 isolates (82.12%) moreover, the bla NDM gene was detected in ten isolates (5.59%). …”
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