Anatomic and Functional Outcomes of Lamellar Macular Hole and Epiretinal Membrane Foveoschisis Surgery: Predictive Factors and Associated Complications — A Retrospective Inte... by Er-reguyeg Y, Doukkali S, Hébert M, You EL, Bourgault S, Caissie M, Tourville É, Dirani A

“…Variables associated with final BCVA were assessed using a multiple linear regression model.Results: 51 subjects presented with ERMF, while 39 presented with LMH. …”
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Association of circulating metabolites and polygenic risk score with incident type 2 diabetes: a prospective community-based cohort study by Masato Takase, Naoki Nakaya, Mana Kogure, Rieko Hatanaka, Kumi Nakaya, Ippei Chiba, Sayuri Tokioka, Kotaro Nochioka, Tomohiro Nakamura, Naho Tsuchiya, Takumi Hirata, Seizo Koshiba, Kazuki Kumada, Ikuko Motoike, Eiji Hishinuma, Akira Narita, Taku Obara, Mami Ishikuro, Hisashi Ohseto, Ippei Takahashi, Tomoko Kobayashi, Eiichi N. Kodama, Yohei Hamanaka, Masatsugu Orui, Soichi Ogishima, Satoshi Nagaie, Nobuo Fuse, Junichi Sugawara, Shinichi Kuriyama, Koichi Matsuda, Yoko Izumi, Kinuko Ohneda, Kengo Kinoshita, Atsushi Hozawa, Masayuki Yamamoto, Biobank Japan Project, the ToMMo investigators

“…A modified Poisson regression model was used to examine the associations of PRSs and metabolites with T2DM incidence. …”
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Relationships between physical frailty, depressive symptoms, and cognitive ability among community-dwelling older adults in India by T. Muhammad, Manish Kumar, Shobhit Srivastava, Waad Ali

“…Univariate and multivariable linear regression models were used to examine the associations between frailty, depressive symptoms, and cognitive ability in older men and women, as well as frailty-cognition association by depressive status. …”
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Pregnancy complications affect kynurenine pathway metabolite concentrations in umbilical cord blood by Michelle Broekhuizen, Heike Allenberg, Claude P. van der Ley, Sofie K. M. van Zundert, Zongye Cai, Martijn van Faassen, Daphne Merkus, A. H. Jan Danser, Anja Lange, Irwin K. M. Reiss, Matthias Heckmann

“…Differences in metabolite concentrations were analyzed using unpaired t-tests and linear regression models to control for potential confounders. …”
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Pregnancy Outcomes in Women Infected With COVID-19: A Retrospective Cohort Study by Maryam Nikpour, Mehdi SepidarKish, Mahboobeh Darzipoor, Mahmoud Sadeghi Haddad Zavareh, Rahele Mehraeein, Zeinab Pahlavan, Fereshteh Behmanesh

“…The chisquare test and Student t-test were used for data analysis. Modified Poisson regression and mixed linear model were used to assess the adjusted risk ratio (aRR) and adjusted mean difference (aMD) between COVID-19 infection and pregnancy outcomes. …”
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Sex differences in loneliness, social isolation, and their impact on psychiatric symptoms and cognitive functioning in schizophrenia by Jinghui Chi, Nannan Liu, Tian Tian, Qiaona Jiang, Chenghao Lu, Yanzhe Li, Xiaofei Zhang, Yanyan Ma, Lili Wang, Shen Li

“…Psychopathology, cognitive functioning, loneliness, social isolation were assessed using the Positive and Negative Syndrome Scale (PANSS), the Repeated Battery for Assessment of Neuropsychological Status (RBANS), the UCLA (University of California, Los Angeles) Loneliness Scale (Version 3) and the Social Isolation Index (ISI). Multiple linear regression models were conducted to test the independent, relative, and synergistic efects of loneliness and social isolation on psychiatric symptoms and cognitive performance for male and female patients separately. …”
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The EAT-Lancet diet in relation nutrient intake among older adults: insights from the Gothenburg H70 birth cohort study by Anna Stubbendorff, Silke Kern, Lina Rydén, Ingmar Skoog, Jessica Samuelsson

“…Cardiometabolic risk markers and biomarkers of nutritional status, including homocysteine and haemoglobin, were measured. Linear and logistic regression models were used to examine trends across sex-specific tertiles of diet adherence, with sensitivity analyses adjusting for energy intake and comparing adequacy based on average requirement (AR) thresholds. …”
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CT changes in a randomized trial comparing early therapies in an outpatient population at high risk of severe COVID19 disease by Ilaria Mastrorosa, Alessandro Cozzi-Lepri, Giulia Matusali, Francesca Colavita, Simone Lanini, Martina Rueca, Alessandra Oliva, Giulia Berno, Alessandra Vergori, Silvia Rosati, Jessica Paulicelli, Enrico Girardi, Emanuele Nicastri, Fabrizio Maggi, Andrea Antinori, Valentina Mazzotta, the MONET Clinical Trial Group

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Menopausal status, transition, and age at menopause with accelerated biological aging across multiple organ systems: findings from two cohort studies by Yi Xiang, Qiong Meng, Zitong Huang, Ning Zhang, Yuan Zhang, Xianbin Ding, Jianhong Yu, Baimakangzhuo, Leilei Liu, Xiong Xiao, Xing Zhao

“…Comprehensive and organ-specific biological ages (BAs) were calculated using the Klemera-Doubal method and clinical biomarkers and have been shown to predict age-related health outcomes. Multiple linear regression and change-to-change models were applied, with stratified analyses based on reproductive history. …”
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From student to nurse: exploring transition shock through stress, locus of control, and coping strategies in newly graduated nurses by Rasha Kadri Ibrahim, Mirna Safi, Amani Darwish, Yasir S. Alsalamah, Lisa Babkair, Nasiru Mohammed Abdullahi, Basma Maher, Manar Nasser Alotaibi, Monerh Abdullah Alfalaij, Shorok Hamed Alahmedi, Sally Mohammed Farghaly Abdelaliem, Abdelaziz Hendy

“…The model explained 64.6% of the variance in transition shock (R² = 0.646). …”
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Comparing Synchronous and Asynchronous Remotely Delivered Lifestyle Interventions: Protocol for a Randomized Noninferiority Trial by Sherry Pagoto, Ran Xu, Richard Bannor, Christie Idiong, Jared Goetz, Denise Fernandes

“…The noninferiority margin for differences in weight loss between conditions is 2% at both 6 and 12 months. We will model percent weight loss at 6 and 12 months using general linear regression models with the intent-to-treat sample. …”
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A 20-week, randomized controlled trial to determine the efficacy of the Aging Well through Interaction and Scientific Education – Action Plan (AgeWISE-AP) program in older Veterans... by Maureen K. O’Connor, Julianne Szemko, Jaye E. McLaren, Lauren R. Moo, Emily E. Metcalf, Andrew Nguyen, Malissa L. Kraft, Brandon Frank, David Salat, John J. Randolph, Yorghos Tripodis

“…These outcome measures assess engagement in brain-healthy lifestyle factors, psychological well-being, and cognition. Linear mixed regression models will be used to test the effect of AgeWISE-AP. …”
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Spectral-domain optical coherence tomography imaging findings in patients receiving teprotumumab for thyroid eye disease by Timothy Truong, Rona Z. Silkiss, Johnell Renz Amoroso, Huanye Li, Quan V. Hoang, Kasra Eliasieh, Jesse J. Jung

“…Methods and outcomes measures: Retrospective chart review was conducted, with demographics, clinical examination, BCVA, Humphrey visual field (HVF), and SD-OCT data: central foveal thickness (CFT), sub-foveal choroidal thickness (SFCT), choroidal vascular index (CVI), retinal nerve fiber layer (RNFL), and ganglion cell-inner plexiform layer (mGCIPL) thickness compared between before and after an 8-infusion course of teprotumumab. Linear regression modeling with clustering was used for statistical analysis. …”
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Investigating the patterns of renal function variability in early-stage chronic kidney disease by cluster analysis by Arisa Kobayashi, Tsuyoshi Ohnishi, Tadahisa Okuda, Keita Hirano, Tatsuyoshi Ikenoue, Takashi Yokoo, Shingo Fukuma

“…In addition, we used a logistic regression model in order to assess associations between clinical factors and the high-risk cluster. …”
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Elevated stress hyperglycemia ratio associated with higher hospital mortality in patients with respiratory failure by Huihui Bai, Dan Niu, Boling Li, Yuan Zong, Yan Wang

“…Based on the results of the schoenfeld residual test, choose the Cox model or the model with the time interaction term to report the association between SHR and the outcome. …”
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Attitudes Toward AI Usage in Patient Health Care: Evidence From a Population Survey Vignette Experiment by Simon Kühne, Jannes Jacobsen, Nicolas Legewie, Jörg Dollmann

“…Respondents were presented with hypothetical scenarios involving AI applications in diagnosis and treatment in a hospital setting. Linear regression models assessed the relative influence of AI attributes on the dependent variables (support, risk perception, and personalized care), with additional subgroup analyses to explore heterogeneity by sociodemographic characteristics. …”
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Unraveling the link between birth order and blood pressure: insights from a comprehensive systematic review and meta-analysis by Danial Habibi, Amir Hossein Koochekian, Hamid Reza Marateb, Homayoon masoudi, Hanifeh Mirtavoos-Mahyari, Muhammadhosein Moradi, Mahdi Akbarzadeh, Marjan Mansourian, Miguel Ángel Mañanas, Roya Kelishadi

“…The pooled mean difference for systolic blood pressure (SBP) under a random-effects model was 0.28 mm Hg (95% CI: −7.03 to 7.59), and for DBP was 0.33 mm Hg (95% CI: −5.38 to 6.04), neither of which reached statistical significance (SBP: Z = 0.08, P = 0.939; DBP: Z = 0.11, P = 0.910). …”
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The relationship of glycosylated hemoglobin A1c and Apolipoprotein A‑1 ratio on short-term prognosis in STEMI patients following PCI: a retrospective study by Danni Li, Yuyu Sun, Jie Han, Chen Guo, Linying Xia, Jiahao Dou, Wei Jiang, Jie Deng, Jin Wei

“…The significant correlation between HbA1c/ApoA-1 with short-term MACEs in STEMI patients post-PCI were determined through univariate and multivariate logistic regression analysis. Different models and Subgroup analysis demonstrated that HbA1c/ApoA-1 was independent risk factor for MACEs in STEMI patients post-PCI and exhibited high stability. …”
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Exposure to polycyclic aromatic hydrocarbons, heavy metals, and per- and polyfluoroalkyl substances and their associations with serum lipid profiles in the general Korean adult pop... by Sanghee Shin, Youlim Kim, Yunsoo Choe, Su Hwan Kim, Jaelim Cho, Changsoo Kim, Kyoung-Nam Kim

“…The associations of PAH metabolites, heavy metals, and per- and polyfluoroalkyl substances (PFASs), which are ubiquitous pollutants, with lipid indicators and dyslipidemia types were evaluated using linear and logistic regression models, respectively. …”
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Exploring nudging strategies for plant-based dietary choices in hospital patients: a quasi-experimental study by Kristin Hünninghaus, Hannah Caroline Schäfer, Maik Plonka, Rebeca Montejano Vallejo, Gustav Dobos, Heidemarie Haller

“…Data from 6,575 inpatients (mean age: 57.3 ± 18.7; 50.6% female) covering 26,949 meal choices were analyzed using logistic regression and generalized linear modeling. Results Independent of nudging, female sex and younger age predicted plant-based menu choices (p <. 001, respectively). …”
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