Predictive factors for axillary pathological complete response to neoadjuvant therapy in elderly breast cancer patients by Yuying Wang, Rui Wang, Di Lu, Yaling Zeng, Xihui Tu, Shiwei Liu, Purong Zhang

“…Univariate analysis of the clinicopathological parameters and efficacy was performed via the chi-square test or Fisher’s exact test, while multivariate analysis was conducted via binary logistic regression. Results This study included 109 elderly patients with breast cancer, with an overall apCR rate of 46.8%. …”
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Identifying falsified COVID-19 vaccines by analysing vaccine vial label and excipient profiles using MALDI-ToF mass spectrometry by Benediktus Yohan Arman, Rebecca Clarke, Tehmina Bharucha, Laura Gomez Fernandez, John Walsby-Tickle, Michael Deats, Sara Mosca, Qianqi Lin, Sneha Banerjee, Shrikrishna R. Chunekar, Kundan D. Patil, Sunil Gairola, Susanna Dunachie, Hamid A. Merchant, Robert Stokes, Rutendo Kuwana, Alexandrine Maes, Jean-Philippe Charrier, Fay Probert, Céline Caillet, Pavel Matousek, James McCullagh, Paul N. Newton, Nicole Zitzmann, Bevin Gangadharan

“…Abstract The rapid development and worldwide distribution of COVID-19 vaccines is a remarkable achievement of biomedical research and logistical implementation. However, these developments are associated with the risk of a surge of substandard and falsified (SF) vaccines, as illustrated by the 184 incidents with SF and diverted COVID-19 vaccines which have been reported during the pandemic in 48 countries, with a paucity of methods for their detection in supply chains. …”
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Utilization of cardiopulmonary bypass at radical nephrectomy for renal cell carcinoma with tumour thrombus by Chalairat Suk‐Ouichai, Mitchell M. Huang, Clayton Neill, Christopher K. Mehta, Ashley E. Ross, Shilajit D. Kundu, Kent T. Perry Jr, Duc T. Pham, Hiten D. Patel

“…Inclusion criteria included RCC histology and preoperative imaging available for thrombus‐level categorization based on the Mayo Clinic grading system. Logistic regression assessed predictors for utilizing CPB, and Cox regression identified factors associated with survival. …”
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Factors influencing healthcare workers’ perceived compliance with infection prevention and control standards, North Bank East region, The Gambia, a cross-sectional study by Sheriffo M.K. Darboe, Sandra A. Darfour-Oduro, Godsway Edem Kpene, Abou Kebbeh, Nuha Fofana, Manjally Ndow, Kawsu Sanyang, Dwomoh Duah, Alfred Edwin Yawson, Ernest Kenu, Harriet Affran Bonful

“…Descriptive statistics, chi-square, and logistic regression were done at a 95% confidence limit and an alpha level of 0.05. …”
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Factors associated with the revolving door phenomenon in patients with schizophrenia: results from an acute psychiatric hospital in Romania by Vlad Dionisie, Vlad Dionisie, Maria Gabriela Puiu, Maria Gabriela Puiu, Mihnea Costin Manea, Mihnea Costin Manea, Emanuel Moisa, Ana Maria Dumitru, Leila Ibadula, Aliss Madalina Mares, Aliss Madalina Mares, Corina Ioana Varlam, Mirela Manea, Mirela Manea

“…Male gender (p=0.000), younger age (p<0.05), presence of psychiatric comorbidity (p<0.05), substance use disorder (p=0.000) and alcohol use disorder (p<0.01) were associated with the revolving door patients. A binary linear logistic regression revealed that male gender (OR=1.92, 95%CI:1.21-3.08), shorter hospitalization (OR=0.982, 95%CI:0.964-1.000), substance use disorder (OR=2.47, 95%CI:1.16-5.26), verbal (OR=1.44, 95%CI:1.05-1.98) and physical (OR=1.331, 95%CI:1.017-1.744) aggression were predictive factors for frequent use of inpatient services.ConclusionsThe results may facilitate development of future reform policies aimed at reducing the revolving door phenomenon, including implementing transitional care interventions between hospital and community services.…”
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Association of a multiplex immune marker panel with incident cognitive impairment and dementia: The Northern Manhattan Study by Mohammad Abdurrehman Sheikh, Michelle P. Moon, Clinton B. Wright, Jose Gutierrez, Minghua Liu, Tatjana Rundek, Ken Cheung, Mady Hornig, Mitchell S.V. Elkind

“…Least absolute shrinkage and selection operator (LASSO) techniques were employed to yield a panel of immune markers linearly related to the outcome of dementia/MCI vs. no cognitive impairment. Nested logistic regression models were run to determine the independent association of the immune marker panel with dementia/MCI after adjusting for other predictors of risk. …”
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Higher Long‐Term Visit‐to‐Visit Blood Pressure Variability Is Associated With Severe Cerebral Small Vessel Disease in the General Population by Xinyu Zhao, Ying Hui, Jing Li, Xian‐Quan Shi, Shuohua Chen, Han Lv, Shouling Wu, Zhenchang Wang

“…Total cSVD burden was classified as none (0), mild (1), moderate (2), or severe (3–4) based on the presence of these features. Logistic regression estimated odds ratios (ORs) and 95% confidence intervals (CIs). …”
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Functional Improvement Trajectories After Surgery (FIT After Surgery) study: protocol for a multicentre prospective cohort study to evaluate significant new disability after major... by E Jacobsohn, Duminda N Wijeysundera, Gerald Lebovic, M Davis, Martine T E Puts, Shabbir M H Alibhai, Karim S Ladha, C Wong, Daniel I McIsaac, C Hanley, T Barnes, G Lorello, N Siddiqui, P Serrano, Tyler R Chesney, S Choi, J Van Vlymen, D Sussman, D Macdonald, P Jüni, Emily Hladkowicz, C David Mazer, M Bosch, CD Mazer, A Jerath, J Pazmino-Canizares, E Kennedy, R Spence, V Lyon, Alice C Wei, Julian F Daza, Sahar Ehtesham, Janet M van Vlymen, DN Wijeysundera, KS Ladha, JF Daza, G Mattina, E Hladkowicz, M Tessier, S Ehtesham, S Nnorom, SMH Alibhai, M Puts, G Lebovic, TR Chesney, AC Wei, S Drozdz, M Louridas, RH Breau, M Lalu, S Abdellatif, S Gagne, E Duceppe, K Zarnke, D Dumerton, M Karizhenskaia, H El Beheiry, F Bonazza, A Zahavich, M Thorleifson, S L Russell, H Bagry, SY MacDonell, J Dale-Gandar, L Kaustov, A Fleet, E Al Azazi, M Parotto, S A McCluskey, H Poonawala, D Dillane, Di McIsaac, S Avramescu, S Shabeen

“…We will use multivariable logistic regression models to determine the association of preoperative characteristics and surgery type with outcomes, joint modelling to characterise longitudinal time trends in WHODAS scores over 12 months after surgery, and longitudinal latent class mixture models to identify clusters following similar trajectories of disability.Ethics and dissemination The FIT After Surgery study has received research ethics board approval at all sites. …”
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Effect of Daily Fiber Intake Among Cirrhotic Patients With and Without Portosystemic Shunts by Simona Parisse, Sara Carnevale, Elio Damato, Flaminia Ferri, Monica Mischitelli, Mario Corona, Pierleone Lucatelli, Alfredo Cantafora, Adriano De Santis, Domenico Alvaro, Maurizio Muscaritoli, Stefano Ginanni Corradini

“…By adjusting for confounders in logistic regression models we found that improvement in MELD over time was inversely associated with insoluble fiber consumption expressed in milligrams per kilogram (mg/kg) body weight in CIRs without PSs [odds ratio (OR): 0.968; 95% confidence interval (CI): 0.939, 0.997; P = 0.005] but with soluble fiber consumption in CIRs with PSs [OR: 0.946; 95% CI: 0.912, 0.982; P = 0.001]. …”
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Recreational prescription opioid misuse among college students in the USA: An application of the theory of planned behavior by Robert E. Davis, Martha A. Bass, Mary A. Ford, John P. Bentley, KoFan Lee, Nicole A. Doyle

“…A staged hierarchical logistic regression model examined the relationship between TPB constructs and intention. …”

Skin graft take rate among minor burns – A cohort study to investigate the effect of factors such as burn depth, burn size, and timing of the operation by Sinan Dogan, Arina Mahmoud, Ingrid Steinvall, Elin Albertsson, Elina Bergman, Jamila Halimi, Moustafa Elmasry

“…Take rate at the second dressing change after operation was used as main outcome, a cut-off of 95% take rate was for the multivariable logistic regression. Results: A total of 195 patients were included, median (IQR) age was 42 (9–68) years, 65 % were male, and median (IQR) area of deep burns was 2 (1–4) % of the body surface area (BSA). …”
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The use and subjective experience of sleep apps and their relationship with personality characteristics among young adults by Ståle Pallesen, Ståle Pallesen, Øystein Vedaa, Øystein Vedaa, Erlend Sunde, Erlend Sunde, Anette Harris, Siri Waage, Siri Waage, Ingvild West Saxvig, Jiewen Zhang, Bjørn Bjorvatn, Bjørn Bjorvatn

“…The survey included questions about demographics, morningness (Horne–Östberg Morningness–Eveningness Questionnaire-reduced scale), insomnia symptoms (Bergen Insomnia Scale), personality (HEXACO: Honesty-Humility, Emotionality, Extraversion, Agreeableness, Conscientiousness, and Openness to Experience), in addition to sleep app usage and how such use is experienced. A logistic regression analysis was conducted to identify characteristics of sleep app users. …”
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Enhancing individual glomerular filtration rate assessment: can we trust the equation? Development and validation of machine learning models to assess the trustworthiness of estima... by Antoine Lanot, Anna Akesson, Felipe Kenji Nakano, Celine Vens, Jonas Björk, Ulf Nyman, Anders Grubb, Per-Ola Sundin, Björn O. Eriksen, Toralf Melsom, Andrew D. Rule, Ulla Berg, Karin Littmann, Kajsa Åsling-Monemi, Magnus Hansson, Anders Larsson, Marie Courbebaisse, Laurence Dubourg, Lionel Couzi, Francois Gaillard, Cyril Garrouste, Lola Jacquemont, Nassim Kamar, Christophe Legendre, Lionel Rostaing, Natalie Ebert, Elke Schaeffner, Arend Bökenkamp, Christophe Mariat, Hans Pottel, Pierre Delanaye

“…Four machine learning and two traditional logistic regression models were trained on a cohort of 9,202 participants to predict the likelihood of the EKFC creatinine-derived eGFR falling within 30% (p30), 20% (p20) or 10% (p10) of the mGFR value. …”
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Seroprevalence of Asymptomatic Leishmania donovani among Laborers and Associated Risk Factors in Agricultural Camps of West Armachiho District, Northwest Ethiopia: A Cross-Sectiona... by Animen Ayehu, Yibeltal Aschale, Wossenseged Lemma, Animut Alebel, Ligabaw Worku, Ayalew Jejaw, Abebe Genetu Bayih

“…A single finger prick blood sample was collected from the study participants and the blood samples were subjected to the serological diagnostic method using the rk39 kit. The multivariable logistic regression model was used to identify risk factors associated with L. donovani infection. …”
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The significance of isolated de novo red patches in the bladder in patients referred with suspected urinary tract cancer: Results from the IDENTIFY study by Sinan Khadhouri, Kevin Gallagher, Kenneth R. MacKenzie, Taimur T. Shah, Chuanyu Gao, Eleanor Zimmermann, Miles Mannas, Taeweon Lee, Giancarlo Marra, Juan Gomez Rivas, Gautier Marcq, Mark A. Assmus, Taha Ucar, Francesco Claps, Matteo Boltri, Giuseppe Pizzuto, Tara Burnhope, Nkwam Nkwam, George Tanasescu, Nicholas E. Boxall, Alison P. Downey, Troy A. Sukhu, Marta Antón‐Juanilla, Sonpreet Rai, Madeline Moore, Kathryn Bandeira de Mello, Sian Parsons, John S. McGrath, Veeru Kasivisvanathan, IDENTIFY Study Group: Pubmed indexed collaborator authors

“…Methods We reported the unadjusted cancer prevalence in isolated de novo red patches that were biopsied; multivariable logistic regression was used to explore cancer‐associated risk factors including age, sex, smoking, type of haematuria, LUTS, UTIs and a suspicious‐looking red patch (as reported by the cystoscopist). …”
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Impact of Granulocyte Colony-Stimulating Factor (G-CSF) on Clinical Outcomes in Allogeneic Hematopoietic Cell Transplantation: Does Speeding Up Neutrophil Engraftment Make a Differ... by Ahmed Alnughmush, MD, Ayman Sayyed, MD, Mats Remberger, PhD, Eshrak AL-Shaibani, MD, Carol Chen, BSc, Caden Chiarello, Ivan Pasic, MD, Igor Novitzky-Basso, MD, Arjun Datt Law, MD, Wilson Lam, MD, Dennis (Dong Hwan) Kim, MD, Armin Gerbitz, MD, Auro Viswabandya, MD, Rajat Kumar, MD, Fotios V. Michelis, MD, Jonas Mattsson, MD, PhD

“…However, this benefit was counterbalanced by a significant delay in platelet engraftment (21 versus 17 d, P < 0.001). Multivariate logistic regression analysis identified mismatched donors (odds ratio, 1.72; 95% confidence interval, 1.03-2.88; P = 0.038) and the duration of G-CSF therapy (odds ratio, 1.04; 95% confidence interval, 1.00-1.09; P = 0.038) as independent predictors for the development of ES. …”
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Changes in Alcohol Consumption During and After the Covid-19 Pandemic From 2020 to 2023 in a Prospective Cohort of Italian Adults by Sonia Cerrai, Giulia Carreras, Filippo Monti, Chiara Stival, Alessandra Lugo, Cristina Bosetti, Silvia Biagioni, Tiziana Fanucchi, Giuseppe Gorini, Andrea Amerio, Luisa Mastrobattista, Claudia Mortali, Anna Odone, Sabrina Molinaro, Luc Smits, Silvano Gallus, the “Lost in Italy” and “Lost in Toscana” Study Investigators

“…Considering the cohort of individuals who took part to the first and at least one other wave (n = 5,378), a multilevel logistic model was used to derive odds ratios (ORs) and corresponding 95% confidence intervals (CIs) of being at-risk drinkers. …”
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Machine learning-based identification and validation of amino acid metabolism related genes as novel biomarkers in chronic kidney disease by Guoqing Zhang, Hongyan Luo, Xiaohua Lu, Yonghua Liu, Mei Wang, Bo Li, Haixia Lu, Yali Zheng

“…Then, we constructed logistic regression models and evaluated the accuracy and specificity by nomogram analysis and DCA. …”
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Longitudinal Associations between Obesity, Inflammation, and the Incidence of Type 2 Diabetes Mellitus among US Black and White Adults in the CARDIA Study by Sharon H. Jackson, Anna Bellatorre, Timothy McNeel, Anna María Nápoles, Kelvin Choi

“…We performed a series of multivariable logistic regression analyses to assess the relative influence of obesity (waist circumference) and individual inflammatory biomarkers (i.e., C-reactive protein, fibrinogen, and sex-specific serum uric acid and gamma-glutamyltransferase) on the odds of developing incident T2DM between waves 7 and 8. …”
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The systemic oxidative stress index predicts clinical outcomes of esophageal squamous cell carcinoma receiving neoadjuvant immunochemotherapy by Jifeng Feng, Jifeng Feng, Liang Wang, Xun Yang, Qixun Chen, Qixun Chen

“…In order to determine the integrative score of SOSI, logistic regression analyses were utilized to screen independent risk variables, with disease-free survival (DFS) serving as the dependent variable. …”
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