Prevalence and determinants of HIV among reproductive-age women (15–49 years) in Africa from 2010 to 2019: a multilevel analysis of demographic and health survey data by Alemu Gedefie, Amare Muche, Anissa Mohammed, Aznamariam Ayres, Dagnachew Melak, Eyob Tilahun Abeje, Fekade Demeke Bayou, Fekadeselassie Belege Getaneh, Lakew Asmare, Abel Endawkie

“…The outcome variable was HIV status, while individual- and community-level variables served as potential predictors. …”
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Modeling the determinants of attrition in a two-stage epilepsy prevalence survey in Nairobi using machine learning by Daniel M. Mwanga, Isaac C. Kipchirchir, George O. Muhua, Charles R. Newton, Damazo T. Kadengye, Abankwah Junior, Albert Akpalu, Arjune Sen, Bruno Mmbando, Charles R. Newton, Cynthia Sottie, Dan Bhwana, Daniel Mtai Mwanga, Damazo T. Kadengye, Daniel Nana Yaw, David McDaid, Dorcas Muli, Emmanuel Darkwa, Frederick Murunga Wekesah, Gershim Asiki, Gergana Manolova, Guillaume Pages, Helen Cross, Henrika Kimambo, Isolide S. Massawe, Josemir W. Sander, Mary Bitta, Mercy Atieno, Neerja Chowdhary, Patrick Adjei, Peter O. Otieno, Ryan Wagner, Richard Walker, Sabina Asiamah, Samuel Iddi, Simone Grassi, Sloan Mahone, Sonia Vallentin, Stella Waruingi, Symon Kariuki, Tarun Dua, Thomas Kwasa, Timothy Denison, Tony Godi, Vivian Mushi, William Matuja

“…Here, we examine utility of machine learning to predict attrition and identify associated factors in a two-stage population-based epilepsy prevalence study in Nairobi. Methods: All individuals in the Nairobi Urban Health and Demographic Surveillance System (NUHDSS) (Korogocho and Viwandani) were screened for epilepsy in two stages. …”
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Adaptive clinical trial of AZD7442 and SARS-CoV-2 vaccination in immunosuppressed patients highly vulnerable to infection with SARS-CoV-2 virus (RAPID-PROTECTION): protocol for a m... by Ernest Choy, Kerenza Hood, Emma Thomas-Jones, Eleanor Barnes, Keith Wilson, Christian H Ottensmeier, Debbie Harris, Adrian Hill, Mark Tuthill, Richard Adams, Catherine Porter, Katie Ewer, Sian Griffin, Rebecca Tangney, Joanne Euden, Shirley Pringle, Lawrence Raisanen, Ruby Ray, Lisette Sheena Nixon, Melanie Varley, Craig Bodman, Paola Cicconi, Vivien Dagley, Steven Knapper

“…AZD7442 may prevent SARS-CoV-2 infection in immunocompromised individuals that may not have responded to repeated vaccinations against SARS-CoV-2 virus. …”
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Comparable outcomes after busulfan- or treosulfan-based conditioning for allo-HSCT in children with ALL: results of FORUM by Krzysztof Kalwak, Laura M. Moser, Ulrike Pötschger, Peter Bader, Katharina Kleinschmidt, Roland Meisel, Jean-Hugues Dalle, Akif Yesilipek, Adriana Balduzzi, Gergely Krivan, Evgenios Goussetis, Raquel Staciuk, Petr Sedlacek, Herbert Pichler, Peter Svec, Melissa Gabriel, Tayfun Güngör, Ernest Bilic, Jochen Buechner, Marleen Renard, Kim Vettenranta, Marianne Ifversen, Cristina Diaz-de-Heredia, Jerry Stein, Jacek Toporski, Marc Bierings, Christina Peters, Marc Ansari, Franco Locatelli

“…Because of the unavailability of TBI in some regions and to accommodate individual contraindications, this study reports the prespecified comparison of outcomes of patients receiving busulfan (BU)– or treosulfan (TREO)–based regimens from 2013 to 2018. …”
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Enhancement of Executive Functions but Not Memory by Multidomain Group Cognitive Training in Patients with Parkinson’s Disease and Mild Cognitive Impairment: A Multicenter Randomiz... by Elke Kalbe, Ann-Kristin Folkerts, Anja Ophey, Carsten Eggers, Saskia Elben, Karina Dimenshteyn, Patricia Sulzer, Claudia Schulte, Nele Schmidt, Christian Schlenstedt, Daniela Berg, Karsten Witt, Lars Wojtecki, Inga Liepelt-Scarfone

“…Data indicate that vulnerable individuals may show the largest cognitive gains. Longitudinal studies are required to determine whether CT may also attenuate cognitive decline in the long term. …”
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Predicting survival rates: the power of prognostic nomograms in distal cholangiocarcinoma by Jiangfeng Hu, Yuping Shi, Lihua Jin, Suhong Yi, Jinsuo Chen, Dadong Wan, Weixin Ye, Jingnan Chen, Yajing Zhang, Yang Jiang, Bensong Duan, Yuwei Dong

“…Decision curve analysis was used to evaluate the model and its clinical applicability.ResultsThe findings demonstrated that Grade, M stages, Surgery, and Chemotherapy emerged as autonomous prognostic factors for the survival of individuals with dCCA. The developed nomograms exhibited satisfactory accuracy in forecasting 1-year, 3-year, and 5-year survival probabilities. …”
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Cardiovascular disease risk in cancer survivors: a population-based cohort study from the UK Biobank, and meta-analysis of cohort studies by Hong Li, Yazhou He, Zubing Mei, Hong Wu, Yang Shen, Ziqiang Wang, Jichun Zhao, Chuan Xu, Yanhong Zhou, Chi Shu, Botao Yu, Xiran Wang, Changtao Li, Yiqiang Liu

“…HRs were estimated in the cohort study to evaluate the effect of cancer diagnosis on the subsequent risk of CVD compared with that of non-cancer individuals. We then systematically searched Pubmed, Embase and Cochrane Library to retrieve previous cohorts. …”
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Stratification system with dual human endogenous retroviruses for predicting immunotherapy efficacy in metastatic clear-cell renal cell carcinoma by Li Xu, Stephane Oudard, Catherine Sautes-Fridman, Xiaoping Su, Gabriel G. Malouf, Virginie Verkarre, Salma Kotti, Fangrong Yan, Yann-Alexandre Vano, Wolf Herve Fridman, Cheng-Ming Sun, Xiaofan Lu, Wenxuan Cheng

“…Beyond enhancing the predictive precision of existing transcriptomic models, this system paves the way for more targeted and individualized approaches in the realm of precision oncology.…”
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A bibliometric analysis of the top 100 most cited articles on corticospinal tract regeneration from 2004 to 2024 by Saijilafu, Saijilafu, Ling-Chen Ye, Huanyi Li, Haokun Li, Xinyi Lin, Kehui Hu, Zekai Huang, Chimedragchaa Chimedtseren, Linjun Fang, Saijilahu, Ren-Jie Xu

“…These seminal papers amassed an aggregate of 18,321 citations, with individual citation counts ranging from 83 to 871 and a median of 136 citations per paper. …”
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Increased serum soluble PD-l1 levels in patients with advanced stages of chronic kidney disease by Ayaka Hayashi, Ayaka Hayashi, Hiroto Ishihara, Mayuko Kawabe, Kazuhiko Kato, Kazuhiko Kato, Akio Nakashima, Akio Nakashima, Izumi Yamamoto, Teppei Sakano, Teppei Sakano, Hiroe Kobashi, Makoto Morita, Makoto Morita, Takashi Yokoo, Mitsuyoshi Urashima

“…The association of serum soluble programed death-ligand 1 (sPD-L1) levels and chronic kidney disease (CKD) progression is unknown.MethodsTo compare serum sPD-L1 levels among healthy individuals and patients with various CKD stages, including those undergoing dialysis, a secondary analysis was performed using clinical data and residual serum samples from four distinct cohorts, each prospectively collected for different research purposes: The Vaccine Cohort (2021–2022), the Cancer Cohort (2010–2018), the Dialysis Initiation Cohort (2023–2024), and the Dialysis Maintenance Cohort (2011–2015) included patients on stable maintenance dialysis.ResultsThe study analyzed serum sPD-L1 levels in 2,829 participants (mean age, 54.2 years; male, 54.2%) across the four cohorts. …”
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Proteomic and serologic assessments of responses to mRNA-1273 and BNT162b2 vaccines in human recipient sera by Thomas E. Hickey, Uma Mudunuri, Heidi A. Hempel, Troy J. Kemp, Nancy V. Roche, Keyur Talsania, Brian A. Sellers, James M. Cherry, Ligia A. Pinto

“…Random Forest analysis of proteomic data from pre-third-dose sera identified 85 markers used to develop a model predictive of robust or weaker IgG responses and antibody levels to SARS-CoV-2 spike protein at 6-months following boost; no specific markers were individually predictive of 6-month IgG response. Thirty markers that contributed most to the model were associated with complement cascade and activation; IL-17, TNFR pro-apoptotic, and PI3K signaling; and cell cycle progression.DiscussionThese results demonstrate the utility of proteomics to evaluate correlates or predictors of serological responses to SARS-CoV-2 vaccination.…”
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Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net by Kun Wang, Yong Han, Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Yijie Chen, Jianshe Shi, Bijiao Ding, Jianlong Huang

“…Conclusion: The deep learning DCU-Net algorithm model can improve the performance of tumor CT image segmentation, and the reconstructed fine model can better reflect the actual situation of individual tumors; the MR system constructed based on this model enhances clinicians’ understanding of tumor morphology and spatial relationships. …”
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Early risk assessment in paediatric and adult household contacts of confirmed tuberculosis cases by novel diagnostic tests (ERASE-TB): protocol for a prospective, non-interventiona... by Ursula Panzner, Katharina Kranzer, Tsitsi Bandason, Kuda Mutasa, Sandra Rukobo, Charles Sandy, Bariki Mtafya, Andrea Rachow, Norbert Heinrich, Michael Hoelscher, Judith Bruchfeld, Olena Ivanova, Nyanda Elias Ntinginya, Doreen Pamba, Laura Olbrich, Issa Sabi, Simeon Mwanyonga, Elmar Saathoff, Willyhelmina Olomi, Junior Mutsvangwa, Hazel M Dockrell, Edson Tawanda Marambire, Denise Banze, Alfred Mfinanga, Theodora D Mbunda, Khosa Celso, Gunilla Kallenius, Claire J Calderwood, Christof Geldmacher, Kathrin Held, Tejaswi Appalarowthu, Friedrich Rieß, Anna Shepherd, Christopher Sundling, Mishelle Mugava, Martha Chipinduro, Lwitiho Sudi, Antelmo Haule, Emmanuel Sichone, Paschal Qwaray, Harrieth Mwambola, Lilian Minja, Peter Edwin, Dogo Ngalison, Stella Luswema, Celina Nhamuave, António Machiana, Carla Madeira, Emelva Manhiça, Nádia Sitoe, Jorge Ribeiro

“…At each time point, a WHO symptom screen and digital chest radiograph (dCXR) will be performed, and blood and urine samples will be collected. Individuals screening positive (WHO symptom screen or dCXR) will be requested to provide sputum for Xpert MTB/Rif Ultra. …”
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Methods to Adjust for Confounding in Test-Negative Design COVID-19 Effectiveness Studies: Simulation Study by Elizabeth AK Rowley, Patrick K Mitchell, Duck-Hye Yang, Ned Lewis, Brian E Dixon, Gabriela Vazquez-Benitez, William F Fadel, Inih J Essien, Allison L Naleway, Edward Stenehjem, Toan C Ong, Manjusha Gaglani, Karthik Natarajan, Peter Embi, Ryan E Wiegand, Ruth Link-Gelles, Mark W Tenforde, Bruce Fireman

“…ConclusionsOverall, models using a DRS to adjust for confounding performed adequately but not as well as the multivariable models that adjusted for covariates individually.…”
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Exposure of wild mammals to glyphosate, AMPA, and glufosinate: a case for “emerging organic contaminants”? by Fritsch, Clémentine, Appenzeller, Brice M. R., Bertrand, Colette, Coeurdassier, Michael, Driget, Vincent, Hardy, Emilie M, Palazzi, Paul, Schaeffer, Charline, Goydadin, Anne-Claude, Gaba, Sabrina, Bretagnolle, Vincent, Pelosi, Céline

“…The concentrations of GLY were greater in individuals captured in hedgerows than in those captured in cereal fields. …”
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Emergency volunteering willingness and participation: a cross-sectional survey of residents in northern China by Hong Sun, Chaojie Liu, Wei Xu, Ye Li, Qunhong Wu, Lijun Gao, Zheng Kang, Yanhua Hao, Ning Ning, Mingli Jiao, Libo Liang, Yu Cui, Mengli Shi, Chao Liang, Xiaowen Zhao, Jie Fei, Qiuyu Wei, Ming Yi

“…The in-depth interviews revealed that an inappropriate policy environment and poor volunteer organisational management were major barriers for converting willingness into actions.Conclusion A relatively high level of willingness to volunteer in emergencies in northern China is associated with a range of individual, community and institutional factors. Efforts should be made to translate willingness into effective contributions to the emergency response system. …”
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Urban environment during pregnancy, cognitive abilities, motor function, and externalizing and internalizing symptoms at 2–5 years old in 3 Canadian birth cohorts by Anne-Claire Binter, Dany Doiron, Martine Shareck, Tona Pitt, Sheila W. McDonald, Padmaja Subbarao, Wiliam D. Fraser, Suzanne C. Tough, Jeffrey Brook, Mònica Guxens

“…., −0.81 non-verbal points 95 %CI [-2.10; 0.48] per 1 μg/m3 increase in PM2.5), motor function, or externalizing and internalizing symptoms. In individual cohorts, we found associations of some environmental exposures, in particular building density, fine particles, and nitrogen dioxide with non-verbal abilities, verbal abilities, and fine motor function, but overall confidence intervals in the meta-analyses included the null. …”
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Interaction between walkability and fine particulate matter on ischemic heart disease: A prospective cohort study in China by Jiayun Zhang, Peng Shen, Yixing Wang, Zihan Li, Lisha Xu, Jie Qiu, Jingjing Hu, Zongming Yang, Yonghao Wu, Zhanghang Zhu, Hongbo Lin, Zhiqin Jiang, Liming Shui, Mengling Tang, Mingjuan Jin, Feng Tong, Kun Chen, Jianbing Wang

“…Methods: This prospective cohort study was performed in Yinzhou, Ningbo, China, comprising 47,516 participants. Individual-level walkability and PM2.5 were evaluated using a commercial walkability database and a land use regression (LUR) model, respectively. …”
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Investigating neuropathological correlates of hyperactive and psychotic symptoms in dementia: a systematic review by Giulia Negro, Giulia Negro, Michele Rossi, Camillo Imbimbo, Alberto Gatti, Andrea Magi, Andrea Magi, Ildebrando Marco Appollonio, Ildebrando Marco Appollonio, Alfredo Costa, Alfredo Costa, Tino Emanuele Poloni, Tino Emanuele Poloni

“…Inclusion criteria involved studies exploring the neuropathology of the HIDA and psychosis domains in individuals with dementia. Records were screened using PICO software, and data quality was assessed using the Newcastle-Ottawa Scale (NOS) and CARE guidelines. …”
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Remote sensing-based maize growth process parameters revel the maize yield: a comparison of field- and regional-scale by Minghan Cheng, Xiuliang Jin, Chenwei Nie, Kaihua Liu, Tianao Wu, Yuping Lv, Shuaibing Liu, Xun Yu, Yi Bai, Yadong Liu, Lin Meng, Xiao Jia, Yuan Liu, Lili Zhou, Fei Nan

“…Among these parameters, PP_a, representing the duration of the crop growth period, and the maximum LAI, are the parameters that individually contribute the most to the estimation accuracy. …”
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