Lipid trajectories improve risk models for Alzheimer’s disease and mild cognitive impairment by Bruce A. Chase, Roberta Frigerio, Chad J. Yucus, Smita Patel, Demetrius Maraganore, Alan R. Sanders, Jubao Duan, Katerina Markopoulou

“…Clinically well-characterized cases were diagnosed using Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria; MCI cases had been stable for ≥5 years; and controls were propensity matched to cases at symptom onset (MCI: 116 cases, 435 controls; AD: 215 cases, 483 controls). …”
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Using large language models for extracting stressful life events to assess their impact on preventive colon cancer screening adherence by Dmitry Scherbakov, Paul M. Heider, Ramsey Wehbe, Alexander V. Alekseyenko, Leslie A. Lenert, Jihad S. Obeid

“…Many of the observed effects did not reach statistical significance. Conclusion Our findings suggest that stressful life events might have a counterintuitive impact on screening, with some events, such as bereavement, were associated with increased screening. …”
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The effect of HLA genotype on disease onset and severity in CTLA-4 insufficiency by Sara Posadas-Cantera, Sara Posadas-Cantera, Noriko Mitsuiki, Florian Emmerich, Virginia Patiño, Hanns-Martin Lorenz, Olaf Neth, Ingunn Dybedal, Kjetil Taskén, Alejandro A. Schäffer, Bodo Grimbacher, Bodo Grimbacher, Bodo Grimbacher, Bodo Grimbacher, Laura Gámez-Díaz, Laura Gámez-Díaz

“…HLA frequency analysis, odds ratio analysis and genetic linkage analysis were used.ResultsThe principal statistical analyses showed no positive association between the HLA genotypes analyzed with the disease onset or the disease severity. …”
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Randomized controlled trial of the efficacy of attention and emotional regulation training for children with attention deficit hyperactivity disorder by YANG Letian, HONG Danping, DANG Caiping, ZHU Zhihang, HU Yingzi, PENG Kaiqi, XU Yixuan, LIU Jinlan, YANG Chanjuan, CHENG Daomeng, YU Meng, YIN Weizhen

“…However， only the emotional intervention and control groups demonstrated statistically significant improvements in emotional regulation ability （all <i>P &lt; </i>0.05）. …”
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The role of inflammatory system genes in individual differences in nonverbal intelligence by R. F. Enikeeva, A. V. Kazantseva, Yu. D. Davydova, R. N. Mustafin, Z. R. Takhirova, S. B. Malykh, Y. V. Kovas, E. K. Khusnutdinova

“…Considering an important role of environmental factors in the development of brain cognitive functions in general and nonverbal intelligence in particular, we conducted an analysis of gene-by-environment (G × E) interactions. As a result of a statistical analysis, rs1041981 and rs1800629 in the tumor necrosis factor gene (TNF) were shown to be associated with a phenotypic variance in nonverbal intelligence at the haplotype level (for АА-haplotype: βST = 1.19; p = 0.033; pperm = 0.047) in carriers of the “risky” APOE ε4 allele. …”
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Examination of non-conventional dysplasias adjacent to colorectal adenocarcinoma in patients with IBD by Szintia Almási, Zsófia Balajthy, Bence Baráth, Zsófia Krisztina Török, Panna Szaszák, Tamás Lantos, Bence Kővári, Anita Sejben

“…The patient’s sex, age (at the diagnosis of IBD and neoplasia), type of IBD, type of specimen [biopsy (n = 8)/surgical specimen (n = 20)], histological type, grade, localisation, stage, disease-free (DFS) and overall survival (OS) were obtained. Statistical analyses were carried out by using Mann-Whitney (continuous variables), Fisher’s exact (categorical variables), Kaplan-Meier (DFS/OS curves), and logrank test (survival curves).ResultsExclusively, conventional dysplasia was observed in 11, and non-conventional dysplasia in 8 patients. …”
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PARP inhibitor‐based treatment in metastatic, castration‐resistant prostate cancer (mCRPC): A systematic review and meta‐analysis by Michela Roberto, Mattia Alberto Di Civita, Daniele Marinelli, Andrea Torchia, Nertila Cara, Giulia Maltese, Iolanda Speranza, Daniele Santini

“…OS was improved in the population with HRR+ status (HR 0.76, p = 0.02) but not statistically significant in BRCA1/2‐mutated patients (HR 0.57, 95% CI 0.30–1.08, p = 0.08). …”
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The global, regional, and national patterns of change in the burden of bacterial pyoderma from 1990 to 2019 and the forecast for the next decade by Hao Wang, Zihao Bai, Chong Shen, Jiaxi Kou, Yanqing Zhu, Huaxia Xie, Chen Chen, Ran Mo

“…The Sociodemographic Index (SDI) was used to assess socioeconomic status, and statistical calculations were performed using the WHO Health Equity Assessment Toolkit and R software (v4.3.2). …”
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Efficacy and safety of jaktinib hydrochloride tablets in active axial spondyloarthritis: a multicentre, randomised, double-blind, placebo-controlled phase II clinical trial by Xiaomei Li, Xiaoxia Wang, Jian Wu, Xiao Zhang, Chunde Bao, Shengqian Xu, Lingyun Sun, Juan Wang, Guixiu Shi, Xiaofei Wang, Qing Dai, Antao Xu, Huaxiang Wu, YongQing Wang, Yan Ye, Yongfu Wang, Huaxiang Liu, Chenyin Lv, Jun Miao, Weiqi Min, Kuanting Wang, Luan Xue, Shanhui Ye

“…The incidence of treatment-emergent adverse events in the 75 mg two times per day, 100 mg two times per day and placebo groups was 88.6% versus 94.4% versus 86.1%, respectively, with no statistically significant difference among the three groups. …”
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Differentiation between glioblastoma and solitary brain metastases using perfusion and amide proton transfer weighted MRI by Malte Knutsson, Tim Salomonsson, Faris Durmo, Emelie Ryd Johansson, Anina Seidemo, Jimmy Lätt, Anna Rydelius, Sara Kinhult, Elisabet Englund, Johan Bengzon, Peter C. M. van Zijl, Peter C. M. van Zijl, Linda Knutsson, Linda Knutsson, Linda Knutsson, Pia C. Sundgren, Pia C. Sundgren, Pia C. Sundgren

“…Receiver Operating Characteristic (ROC) curves and area-under-the-curve (AUC) were assessed for different parameter combinations. Statistical analyses were performed using Mann–Whitney U test.ResultsWhen comparing GBM to MET, nAPTmax, nCBFmax, ncCBVmax and ncCBVmean were significantly increased (p &lt; 0.05) in ET with AUC being 0.81, 0.83, 0.85, and 0.83, respectively. …”
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Exploring the pivotal variables of tongue diagnosis between patients with chronic kidney disease and health participants by Po-Chi Hsu, Po-Chi Hsu, Jia-Ming Chen, Jia-Ming Chen, Chia-Chu Chang, Yu-Jun Chang, Ping-Fang Chiu, John Y. Chiang, John Y. Chiang, Lun-Chien Lo, Lun-Chien Lo

“…Tongue images were analyzed using ATDS to extract nine primary features: tongue shape, color, fur, saliva, fissures, ecchymosis, tooth marks, and red dots. Statistical analyses included non-parametric methods and ordinal logistic regression.ResultsThis study revealed that significant differences in the fur thickness, tongue color, amount of ecchymosis, and saliva among three groups. …”
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Spatial-temporal evolution and multi-scenario prediction of carbon emissions from land use in the adjacent areas of nature reserves by Yuan Li, Yu-Ling Peng, Wei-Ying Cheng, Hao-Na Peng

“…Through the integration of spatial and statistical data, it examined the intensity and distribution characteristics of carbon emissions from 2000 to 2020. …”
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The Relationship between Left Ventricular Diastolic Function Parameters and Coronary Artery Disease Severity by Khadije Mohammadi, Mohammad Masoomi, Mahsa Akrami, Shirin Habibi Khorasani, Mina Moridi, Sara Saidi

“…P<0.05 was considered statistically significant.Results: The results indicated that there was no correlation between E/e′ (P=0.103), left atrial volume index (LAVI) (P=0.168), tricuspid regurgitation velocity (TRV) (P=0.217), myocardial performance index (MPI) (P=0.106), E wave deceleration time (dt) (P=0.644), and late diastolic strain rate (P=0.502) with CAD severity based on SYNTAX score. …”
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Meta-analysis to evaluate the comparative effectiveness of enzalutamide and abiraterone acetate for first-line treatment of metastatic castration-resistant prostate cancer in real-... by Armen Aprikian, Amit Bahl, Aurelius Omlin, Giulia Baciarello, Abhiroop Chakravarty, Prashanth Kondaparthi, Georgia Gourgioti, Thomas McLean, Alexis Serikoff, Andrew Chilelli

“…These results were consistent across all sensitivity analyses.DiscussionAcross all analyses, enzalutamide demonstrated a statistically significant improvement in OS compared with abiraterone. …”
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Complex Ureteral Reconstruction via Open or Robotic Ureteroplasty with a Buccal Mucosa Onlay Graft: A Two-center Comparison by Antonio Andrea Grosso, Fabrizio Di Maida, Daniele Paganelli, Simon Udo Engelmann, Emily Rinderknecht, Christoph Eckl, Sebastian Kälble, Alexey Barskov, Rino Oriti, Sofia Giudici, Christoph Pickl, Maximilian Burger, Andrea Mari, Andrea Minervini, Roman Mayr

“…Stricture location and length, previous reconstructive interventions, complications, and success rates were assessed and compared. A descriptive statistical analysis was performed. Key findings and limitations: We compared ten patients in the robotic group and 16 in the open group. …”
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Proof of concept of fully automated adaptive workflow for head and neck radiotherapy treatments with a conventional linear accelerator by Gaia Muti, Marco M. J. Felisi, Angelo F. Monti, Chiara Carsana, Roberto Pellegrini, Edoardo Salmeri, Mauro Palazzi, Paola E. Colombo

“…In the FTP techniques target coverage is inadequate and statistically different from the accepted values. In the ATS the results align with the initial approved values. …”
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Percutaneous microwave ablation on management of hereditary renal cell carcinoma in Von Hippel–Lindau disease by Jiye Chen, Lin Zheng, Wei Zhang, Zhen Wang, Jie Yu, Ping Liang

“…The overall technical efficacy rate was 100% with no major complications occurred. No significant statistical difference between pre-ablative and postablative creatinine level (102.0 µmol/L ± 30.4 vs 112.3 µmol/L ± 38.7, p = 0.06), but the pre-ablative eGFR level was significantly higher than the post-ablative eGFR (78.0 mL/(min*1.73m2) ± 28.6 vs 72 mL/(min*1.73m2) ± 31.4, p = 0.04), with the mean decrease of 5.86 ml/(min*1.73m2). …”
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Differences in Metabolites of Different Varieties from Xinjiang Large-fruit Sea Buckthorn as Analyzed by Non-targeted Metabolomics by Rong HAN, Yan MA, Shengjie LI, Xintao MENG, Mingqiang XU, Ting ZHANG, Yan PAN

“…This experiment aimed to investigate the differences in metabolites of different varieties from Xinjiang large-fruit sea buckthorn, ultra high performance liquid chromatography-mass spectrometry (UPLC-QTOF-MS) coupled with multivariate statistical analysis and pathway enrichment analysis were used to characterize the metabolites of six Xinjiang large-fruit sea buckthorn species ('Mixed Fruit', 'Giant', 'Shenqunhon', 'Wucifeng', 'Xiangyang' and 'Zhuangyuan Yellow') were subjected to non-targeted metabolomics study. …”
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Impact of a phone call with a medical student/general practitioner team on morbidity of chronic patients during the first French COVID-19 lockdown (COVIQuest): a cluster randomised... by Bruno Giraudeau, Estelle Boivin, Vincent Camus, Agnes Caille, Olivier Saint-Lary, Jean-Pierre Lebeau, Stéphanie Sidorkiewicz, Denis Pouchain, Maeva Jego, Sophie Sun, Denis Angoulvant, Wissam El-Hage, Sébastien Bruel, Clarisse Dibao-Dina, Julie Léger, Isabelle Ettori-Ajasse, Juliette Chambe, Karim Abou-Mrad-Fricquegnon, Baptiste Motte, Benoit Chiron, Cam-Anh Khau, Tiphanie Bouchez, Maria Ghali, Leslie Guillon-Grammatico, Emeline Laurent, Rémy Boussageon

“…Overall, 27 (3.25%) patients were hospitalised in the intervention group vs 12 (2.19%) in the control group (OR 1.52, 95% CI 0.82 to 2.81; risk difference 1.38, 95% CI 0.06 to 2.70).Conclusion A GP-initiated phone call may have been associated with more hospitalisations within 1 month for patients with MHD, but results lack robustness and significance depending on the statistical approach used.Trial registration number NCT04359875.…”
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Continuous Speech-Based Fatigue Detection and Transition State Prediction for Air Traffic Controllers by Susmitha Vekkot, Surya Teja Chavali, Charan Tej Kandavalli, Rama Sai Abhishek Podila, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi

“…Automated sequence labeling was performed on uniformly segmented continuous speech samples. MFCC and statistical features were extracted from the labelled continuous speech and input into various Recurrent Neural Networks, such as bi-LSTM and Bi-GRU, for fatigue state prediction tasks. …”
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