Long-term safety of tofacitinib up to 9.5 years: a comprehensive integrated analysis of the rheumatoid arthritis clinical development programme by Peter Nash, Yoshiya Tanaka, Kevin L Winthrop, Eun Bong Lee, Xavier Mariette, Jeffrey R Curtis, Kenneth Kwok, Connie Chen, Pinaki Biswas, Lisy Wang, Christina Charles-Schoeman, Ann Madsen, Stanley B Cohen, Andrea Shapiro, Jürgen Wollenhaupt

“…IRs generally remained consistent across 6-month intervals to >78 months.Conclusion This represents the largest clinical dataset for a JAK inhibitor in RA to date. IRs remained consistent with previous reports from the tofacitinib RA clinical development programme, and stable over time.Trial registration numbers NCT01262118; NCT01484561; NCT00147498; NCT00413660; NCT00550446; NCT00603512; NCT00687193; NCT01164579; NCT00976599; NCT01059864; NCT01359150; NCT02147587; NCT00960440; NCT00847613; NCT00814307; NCT00856544; NCT00853385; NCT01039688; NCT02187055; NCT00413699; NCT00661661.For summary of phase I, phase II, phase III, phase IIIb/IV and LTE studies included in the integrated safety analysis, see online supplemental table 1.…”
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Norepinephrine use in cardiogenic shock patients is associated with increased 30 day mortality by Xin Lu, Xue Wang, Yanxia Gao, Joseph Harold Walline, Shiyuan Yu, Zengzheng Ge, Mubing Qin, Huadong Zhu, Yi Li

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PHARAOH: A collaborative crowdsourcing platform for phenotyping and regional analysis of histology by Kevin Faust, Min Li Chen, Parsa Babaei Zadeh, Dimitrios G. Oreopoulos, Alberto J. Leon, Ameesha Paliwal, Evelyn Rose Kamski-Hennekam, Marly Mikhail, Xianpi Duan, Xianzhao Duan, Mugeng Liu, Narges Ahangari, Raul Cotau, Vincent Francis Castillo, Nikfar Nikzad, Richard J. Sugden, Patrick Murphy, Safiyh S. Aljohani, Philippe Echelard, Susan J. Done, Kiran Jakate, Zaid Saeed Kamil, Yazeed Alwelaie, Mohammed J. Alyousef, Noor Said Alsafwani, Assem Saleh Alrumeh, Rola M. Saleeb, Maxime Richer, Lidiane Vieira Marins, George M. Yousef, Phedias Diamandis

“…However, its context-specific nature and continued reliance on large expert-annotated training datasets hinders the development of a critical mass of applications to garner widespread adoption in clinical/research workflows. …”
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Prevalence and determinants of HIV testing-seeking behaviors among women of reproductive age in Tanzania: analysis of the 2022 Demographic and health survey by Jackson Micheal Asingwire, Isaac isiko, Kuli Faith Rombe, Aaron Mwesigwa, Emmanuel Asher Ikwara, Haron Olot, Lenz Nwachinemere Okoro, Manankong Jane Precious Izunwanne, Blessing Onyinyechi Agunwa, Abdul Aziiz Bwana, William Yiga Kalemba, Ebuka Louis Anyamene

“…Methods This study used the 2022 Tanzania Demographic and Health Survey dataset. The study utilized individual recodes (IR) files where data was collected using the Women’s Questionnaire to analyze factors influencing HIV testing behavior among women, Descriptive analysis, and bivariate and multivariate logistic regressions were performed and all the data were processed and analyzed using STATA version 17 at 95% CI and significance level P < 0.05. …”
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Designing a Model for Credit Risk Assessment of Customers for Guarantees Issued by the Export Guarantee Fund of Iran via Artificial Neural Network Model by Farshid Ahmadi Sartakhti, Kambiz Hojabr Kiani, Seyed Shamsoddin Hoseini, Abbas Memarnejad

“…To achieve this objective, a dataset comprising 2,170 credit files granted by this fund was utilized. …”
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Gut microbiota interacting with vitamin D but not anandamide might contribute to the pathogenesis of preeclampsia: a preliminary study by Xiao-Qiang Han, Xiao-Qiang Han, Hui-Hui Jiang, Meng-Ling Chen, Meng-Ling Chen, De-Yang Han, De-Yang Han, Su-Fen Zhou, Su-Fen Zhou, Jin-Wen Wang, Shu-Shen Ji, Ling-Yun Wang, Jing-Wei Lou, Ming-Qun Li, Ming-Qun Li

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A compilation of surface inherent optical properties and phytoplankton pigment concentrations from the Atlantic Meridional Transect by T. M. Jordan, G. Dall'Olmo, G. Tilstone, R. J. W. Brewin, F. Nencioli, R. Airs, C. S. Thomas, L. Schlüter

“…The IOP data are processed using a consistent methodology and include propagated uncertainties for each IOP variable, uncertainty quantification for the Tot_Chl_a concentrations based on HPLC match-ups, application of consistent quality-control filters, and standardization of output data fields and formats. The total IOP dataset consists of <span class="inline-formula">∼310 000</span> measurements at a 1 min binning (<span class="inline-formula">∼270 000</span> hyper-spectral) and <span class="inline-formula">&gt;700</span> coincident HPLC pigment surface samples (<span class="inline-formula">∼600</span> of which are coincident with hyper-spectral IOPs). …”
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Artificial intelligence-based prediction of second stage duration in labor: a multicenter retrospective cohort analysisResearch in context by Xiaoqing Huang, Xiaodan Di, Suiwen Lin, Minrong Yao, Suijin Zheng, Shuyi Liu, Wayan Lau, Zhixin Ye, Zilian Wang, Bin Liu

“…Data from three hospitals in Guangdong Province was selected as derivation set, and a geographically independent dataset from Fujian Province as the external validation set. …”
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Machine-Learning Parsimonious Prediction Model for Diagnostic Screening of Severe Hematological Adverse Events in Cancer Patients Treated with PD-1/PD-L1 Inhibitors: Retrospective... by Seok Jun Park, Seungwon Yang, Suhyun Lee, Sung Hwan Joo, Taemin Park, Dong Hyun Kim, Hyeonji Kim, Soyun Park, Jung-Tae Kim, Won Gun Kwack, Sung Wook Kang, Yun-Kyoung Song, Jae Myung Cha, Sang Youl Rhee, Eun Kyoung Chung

“…The predictive model was developed using the KHMC dataset, and then cross-validated against an independent cohort (KHNMC). …”
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Early Postoperative Safety of Total Hip Arthroplasty in Systemic Lupus Erythematosus Patients by YANG Xingdong, YU Muyang, XU Yiming, ZHU Wei, HU Mingwei, WENG Xisheng, FENG Bin

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Mineralocorticoid axis activity and cardiac remodeling in patients with ACTH-dependent Cushing’s syndrome by Peter Wolf, Simon Travers, Oliver Domenig, Stephanie Baron, Anne Blanchard, Khaoula Bouazizi, Nadjia Kachenoura, Sylvie Salenave, Marko Poglitsch, Alban Redheuil, Severine Trabado, Jacques Young, Philippe Chanson, Peter Kamenický

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Illuminating a biologics development challenge: systematic characterization of CHO cell-derived hydrolases identified in monoclonal antibody formulations by Melanie Maier, Linus Weiß, Nikolas Zeh, Valerie Schmieder-Todtenhaupt, Alireza Dehghani, Marius Nicolaus Felix, Daniel Heinzelmann, Benjamin Lindner, Moritz Schmidt, Joey Studts, Patrick Schulz, Bernd Reisinger, Kerstin Otte, Matthias Franzreb, Daniel Lakatos, Simon Fischer

“…Ultimately, we compiled our dataset in a risk matrix identifying PAF-AH, LIPA, PPT1, and LPLA2 as highly critical hydrolases based on their cellular expression, detection in purified antibodies, active secretion, and PS degradation activity. …”
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Sport-related concussion in Brazilian professional soccer: A four-year prospective epidemiological analysis by Guilherme Corrêa de Araújo Moury Fernandes, Ewerton Borges de Souza Lima, Paulo Henrique Schmidt Lara, Ana Camila de Castro Gandolfi, Jorge Roberto Pagura, Gustavo Gonçalves Arliani, Moisés Cohen

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Intracranial aneurysm instability prediction model based on 4D-Flow MRI and HR-MRI by Fei Peng, Jiaxiang Xia, Fandong Zhang, Shiyu Lu, Hao Wang, Jiashu Li, Xinmin Liu, Yao Zhong, Jiahuan Guo, Yonghong Duan, Binbin Sui, Chuyang Ye, Yi Ju, Shuai Kang, Yizhou Yu, Xin Feng, Xingquan Zhao, Rui Li, Aihua Liu

“…Initially, we curated a prospective dataset, dubbed the primary cohort, by aggregating patient data that was consecutively enrolled across two centers from November 2018 to November 2021. …”
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Trends in incidence and mortality of chronic obstructive pulmonary disease among residents of Xiamen city from 2012 to 2022: analysis of hospital records and death registration dat... by Youlan CHEN, Ahua WU, Moliang CHEN, Yilan LIN, Yanqi LAN, Qun LOU, Zhinan GUO

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Identification of Inflammatory Biomarkers for Predicting Peripheral Arterial Disease Prognosis in Patients with Diabetes by Kian Draper, Ben Li, Muzammil Syed, Farah Shaikh, Abdelrahman Zamzam, Batool Jamal Abuhalimeh, Kharram Rasheed, Houssam K. Younes, Rawand Abdin, Mohammad Qadura

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Thiol-Disulfide Homeostasis in Noise-Induced Hearing Loss in Rats by Enes Aydın, Serpil Mungan Durankaya, Osman Yilmaz, Günay Kirkim, Safiye Aktaş, Salim Neşelioğlu, Özcan Erel, Yüksel Olgun, Abdullah Dalgıç

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Detection of fusion events by RNA sequencing in FFPE versus freshly frozen colorectal cancer tissue samples by Maxim Sorokin, Maxim Sorokin, Maxim Sorokin, Maxim Sorokin, Vladimir Lyadov, Vladimir Lyadov, Vladimir Lyadov, Maria Suntsova, Marat Garipov, Anna Semenova, Natalia Popova, Egor Guguchkin, Rustam Heydarov, Marianna Zolotovskaia, Xiaowen Zhao, Qing Yan, Ye Wang, Evgeny Karpulevich, Anton Buzdin, Anton Buzdin, Anton Buzdin, Anton Buzdin

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Risk factors for electroconvulsive therapy-induced fever: a retrospective case-control study by Can-Jin Deng, Can-Jin Deng, Jian-Wen Yang, Jian-Wen Yang, Zi-Zhe Liu, Zi-Zhe Liu, Ting Ning, Ting Ning, Sha Nie, Sha Nie, Xiong Huang, Xiong Huang, Xin-Hu Yang, Xin-Hu Yang, Xing-Bing Huang, Xing-Bing Huang, Wei Zheng, Wei Zheng

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Monitoring Over Time of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Patients Through an Ensemble Vision Transformers‐Based Model by Maria Colomba Comes, Annarita Fanizzi, Samantha Bove, Luca Boldrini, Agnese Latorre, Deniz Can Guven, Serena Iacovelli, Tiziana Talienti, Alessandro Rizzo, Francesco Alfredo Zito, Raffaella Massafra

“…We further validated our model using a subset of 20 patients selected from the publicly available I‐SPY2 trial dataset (independent test). Results The performances of the proposed model were assessed using standard evaluation metrics, and promising results were achieved: area under the curve (AUC) value of 91.4%, accuracy value of 82.4%, a specificity value of 80.0%, a sensitivity value of 85.7%, precision value of 75.0%, F‐score value of 80.0%, and G‐mean value of 82.8%. …”
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