A Prediction Model for External Root Resorption of the Second Molars Associated With Third Molars by Zhengwei Kou, Wuyang Zhang, Chen Li, Yu Zhang, Zijian Song, Yuzhen Zou, Haijing Wang, Zhenghua Liu, Bahetibieke Huerman, Tiange Deng, Kaijin Hu, Yang Xue, Ping Ji

“…The effects of different risk factors on the presence/absence of ERR and its severity were analysed using Chi-square or Fisher test. Multivariate logistic regressive analysis with stepwise variable selection methods was performed to identify factors which were significant predictors for ERR and its severity. …”
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Trends in palliative care utilization among older adult decedents with and without cancer in Taiwan: a population-based comparative studyResearch in context by Yu-Tai Lo, Tzu-Jung Chuang, Yu-Tung Huang, Yi-Lin Wu, Yi-Ching Yang, Chung-Yi Li

“…We used Poisson regression to investigate the temporal trends in palliative care utilization during the last six months of life. Multivariable logistic regression models were constructed to analyze cancer, and non-cancer causes of death associated with palliative care utilization. …”
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Neoadjuvant pyrotinib and trastuzumab in HER2-positive breast cancer with no early response (NeoPaTHer): efficacy, safety and biomarker analysis of a prospective, multicentre, resp... by Fei Wang, Yongjiu Wang, Bin Xiong, Zhenlin Yang, Jingfen Wang, Yumin Yao, Lixiang Yu, Qinye Fu, Liang Li, Qiang Zhang, Chao Zheng, Shuya Huang, Liyuan Liu, Chun Liu, Huaibo Sun, Beibei Mao, Dong-Xu Liu, Zhigang Yu

“…The tpCR rate was 30.6% (95% CI: 20.6–43.0%) in cohort A, 15.4% (95% CI: 6.2–33.5%) in cohort B, and 29.3% (95% CI: 17.6–44.5%) in cohort C. Multivariable logistic regression analyses demonstrated comparable odds of achieving tpCR between cohorts A and C (odds ratio = 1.04, 95% CI: 0.40–2.70). …”
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Identification of unmet information needs among families of critically ill patients and their association with post-intensive care syndrome-family: protocol for a single-center cro... by Yoshiyasu Ito, Takuro Hamaguchi, Masatomo Suzuki, Yasushi Otaka, Mariko Asai, Yukihiro Sakaguchi, Yuki Shirai, Eisho Yoshikawa, Amane Tateno, Shoji Yokobori

“…Univariate and multiple logistic regression analyses will be used to examine the association between PICS-F and unmet information needs. …”
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Predictive factors of thrombosis during autologous stem cell transplantation in multiple myeloma: Experience from EHU Oran (Algeria) by Mohammed Amine BEKADJA, Brahim BENZINEB, Mansour BELKACEM, Hafida OUDJERIOUAT, Badra ENTASOLTAN, Soufi OSMANI, Kamila AMANI, Samira BOUCHAMA, Leila CHAREF, Mohamed BRAHIMI, Abdessamad ARABI, Rachir Amar BOUHASS, Nabil YAFOUR

“…Thepredictive factors studied are: age, co-morbidities, use of IMiDs, use of Granocyte colony stimualing factor in mobilization, the central venous catheter insertion site, cytapheresis count, CD34+ perfused, and finally deep venous thrombosis prophylaxis by a low molecular weight heparin .The statistical analysis focused on a univariate study, followed by a multivariate analysis using binary logistic regression. Results-Among 411 patients with MM underwent autologous transplantation of which 249 were male with a sex ratio of 1,53. …”
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Risk of residual/recurrent cervical diseases in HPV-positive women post-conization depends on HPV integration status by Wenyu Lin, Yuxuan Huang, Yan Zhang, Lixiang Huang, Hongning Cai, Guanxiang Huang, Ye Li, Qiaoyu Zhang, Huifeng Xue, Binhua Dong, Pengming Sun

“…Results Among the 73 participants with HPV infection post-conization, 10 cases (13.7%) were positive for HPV integration. The logistic regression analysis showed a higher residual/recurrent lesions risk in patients with HPV integration (OR = 3.917, p = 0.048). …”
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Associations between brominated flame retardants exposure and non-alcoholic fatty liver disease: Mediation analysis in the NHANES by Yulan Cheng, Jingyi Su, Xiangdong Wang, Ruiyao Huang, Zixuan Zhao, Kai Tian, Tianxiang Gu, Xiaoke Wang, Lin Chen, Xinyuan Zhao

“…The link between a single BFR exposure and NAFLD was estimated using weighted logistic regression and restricted cubic splines (RCS). …”
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The Relationship between Simple Snoring and Metabolic Syndrome: A Cross-Sectional Study by Juanjuan Zou, Fan Song, Huajun Xu, Yiqun Fu, Yunyan Xia, Yingjun Qian, Jianyin Zou, Suru Liu, Fang Fang, Lili Meng, Hongliang Yi, Jian Guan, Huaming Zhu, Bin Chen, Shankai Yin

“…The polynomial linear trend test was used to assess the linear trend across snoring intensity for metabolic score, and logistic regression was used to evaluate the odds ratios (ORs) for MetS after controlling for age, sex, obesity, smoking status, and alcohol consumption. …”
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Impact of hypertension on liver fibrosis in patients with metabolic dysfunction-associated fatty liver disease by Zhifeng Gao, Huan Deng, Bowen Qin, Liang Bai, Jiangwei Li, Jian Zhang

“…BackgroundThis study aims to evaluate the association between hypertension and the risk of fibrosis in metabolic dysfunction–associated steatotic liver disease (MASLD) patients, as well as to investigate the impact of hypertension on the progression of liver fibrosis within this population.MethodsWe utilized data from the NHANES 2017 to March 2020. Multivariate logistic regression models were employed to control for sociodemographic and metabolic factors to determine the associations between hypertension, MASLD, and fibrosis.ResultsOf the total cohort (N = 5,967) 57.92% had hypertension, 38.8% had MASLD, 25.88% had both MASLD and hypertension. …”
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Nomogram to screen older adult patients attending the radiology department for sarcopenia by Guiying Yuan, Guoxi Ye, Jianguang Hu, Huimin Hu, Chanmei Shi, Ye Zhang, Junbing Huang, Zhiqiong Li, Xuwen Zeng, Rongshao Tan, Yuchao Xiong

“…Additionally, we included each screening parameter and evaluated it’s important for screening for the presence of sarcopenia via univariate and multivariate logistic regression analysis to develop a new screening nomogram model. …”
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Modifiable Risk Factors Including Self-Perceived Stress for Breast Cancer in Hong Kong: A Case-Control Study of 10 757 Subject by Winnie Yeo, Lok-Wa Yuen, Kelvin Kam-Fai Tsoi, Emily Ying-Yang Chan, Carol C Kwok, Inda Soong, Ting-Ying Ng, Joanne Chiu, Miranda Chan, Sharon Wing-Wai Chan, Ting-Ting Wong, Yolanda Ho-Yan Chan, Lawrence Pui-Ki Li, Chun-Chung Yau, Wai-Ka Hung, Polly Suk-Yee Cheung

“…Potential risk factors were analyzed using multiple logistic regression. Results: In total, 5186 breast cancer patients and 5571 controls were recruited. …”
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Characteristics, Mortality, and Clinical Outcomes of Hospitalized Patients with COVID-19 and Diabetes: A Reference Single-Center Cohort Study from Poland by Michał Kania, Konrad Mazur, Michał Terlecki, Bartłomiej Matejko, Jerzy Hohendorff, Zlata Chaykivska, Mateusz Fiema, Marianna Kopka, Małgorzata Kostrzycka, Magdalena Wilk, Tomasz Klupa, Przemysław Witek, Barbara Katra, Marek Klocek, Marek Rajzer, Maciej T. Malecki

“…DPs were admitted to the ICU more frequently (15.7% vs. 11.0%, p < 0.001) and required mechanical ventilation more often (15.5% vs. 11.3%, p < 0.001). In a multivariate logistic regression, factors associated with a higher risk of death were age >65 years, glycaemia >10 mmol/L, CRP and D-dimer level, prehospital insulin and loop diuretic use, presence of heart failure, and chronic kidney disease. …”
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Very low urinary marinobufagenin excretion reflects a high risk of disease progression in non-advanced CKD by Davide Bolignano, Davide Bolignano, Marta Greco, Marta Greco, Loredana Tripodi, Mario D’Agostino, Paola Cianfrone, Roberta Misiti, Roberta Misiti, Sara Pugliese, Mariateresa Zicarelli, Michela Musolino, Michela Musolino, Daniela Patrizia Foti, Daniela Patrizia Foti, Michele Andreucci, Michele Andreucci, Giuseppe Coppolino, Giuseppe Coppolino

“…Restricted cubic splines fitting logistic and Cox-regression analyses revealed that the risk association between uMBG and CKD progression was best described by a curvilinear, inverse J-shaped trend, the highest risk associated with very low uMBG levels. …”
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Does macrolide use confer risk of out-of-hospital cardiac arrest compared with penicillin V? A Danish national case-crossover and case–time–control study by Lars Køber, Freddy Lippert, Charlotte Andersson, Peter E Weeke, Gunnar H Gislason, Frederik Boetius Hertz, Aksel Jensen, Jenny D Knudsen, Magnus Arpi, Christian Torp–Pedersen

“…Associations between specific macrolides and OHCA were examined by conditional logistic regression analyses in case-crossover and case–time–control models, using penicillin-V treatment as the comparative reference. …”
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C1q/TNF-Related Protein5 (CTRP5) as a Biomarker to Predict Metabolic Syndrome and Each of Its Components by Feiyu Jiang, Min Yang, Xili Zhao, Rui Liu, Gangyi Yang, Dongfang Liu, Hua Liu, Hongting Zheng, Zhiming Zhu, Ling Li

“…Circulating CTRP5 was found to be correlated negatively with BMI, FAT%, FBG, WHR, SBP, HbA1c, TG, 2-hour blood glucose after glucose overload (2-hOGTT), FIns, and HOMA-IR and positively with HDL-C (P<0.05 or P<0.01). Binary logistic regression revealed that serum CTRP5 levels were associated with MetS. …”
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Evaluation of oral cholera vaccine (Euvichol-Plus) effectiveness against Vibrio cholerae in Bangladesh: an interim analysis by Amanda Tiffany, Ashraful Islam Khan, Firdausi Qadri, John D Clemens, Faisal Ahmmed, Farhana Khanam, Tahmina Shirin, Fahima Chowdhury, Md. Taufiqul Islam, Md Nazmul Islam, Md Nazmul Hasan Rajib, Md Ismail Hossen, Md. Taufiqur Rahman Bhuiyan, Shahinur Haque, Prasanta Kumar Biswas, Amirul Islam Bhuiyan, Zahid Hasan Khan, Mohammad Ashraful Amin, Aninda Rahman, S M Shahriar Rizvi, Lucy Breakwell

“…Vaccination status was documented without knowledge of culture results. Conditional logistic regression models estimated the OR for the vaccination-cholera association, and the VE of the two-dose regimen was calculated as [(1−OR) × 100].Results The analysis included 226 cases and 552 matched controls. …”
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Influenza A H1N1 Community-Acquired Pneumonia: Characteristics and Risk Factors—A Case-Control Study by Romina Abelleira, Alberto Ruano-Ravina, Adriana Lama, Gema Barbeito, María E. Toubes, Cristina Domínguez-Antelo, Francisco J. González-Barcala, Nuria Rodríguez-Núñez, Pedro J. Marcos, María L. Pérez del Molino, Luis Valdés

“…We calculated the probability of being a case or control using multivariate logistic regression. Results. We included 99 cases and 270 controls. …”
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Ten years preceding a diagnosis of neurodegenerative disease in Europe and Australia: medication use, health conditions, and biomarkers associated with Alzheimer's disease, Parkins... by Dang Wei, Anna Freydenzon, Octave Guinebretiere, Karim Zaidi, Fen Yang, Weimin Ye, Niklas Hammar, Karin Modig, Naomi R. Wray, Maria Feychting, Nadine Hamieh, Bruno Ventelou, Beranger Lekens, Laurene Gantzer, Stanley Durrleman, Allan McRae, Baptiste Couvy-Duchesne, Fang Fang, Thomas Nedelec, Stanley Durrleman, Bruno Ventelou, Thomas Nedelec, Octave Guinebretiere, Karim Zaidi, Fang Fang, Dang Wei, Fen Yang, Allan McRae, Naomi Wray, Baptiste Couvy-Duchesne, Anna Freydenzon, Lydie Tran, Evans Cheruiyot

“…We retrieved data on medication use, diagnosed health conditions, and measured blood biomarkers from electronic medical records or biomedical cohorts. Conditional logistic regression models and meta-analysis were applied to assess the associations between these factors and the risk of receiving a diagnosis of AD, PD, or ALS. …”
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Factors and barriers to sulfadoxine-pyrimethamine uptake for intermittent preventive treatment during pregnancy in Ghana by Akua Kumi Yeboah, Patrick Ohemeng Gyaase, Richmond Bediako Nsiah, Regina Amoa-Tutu, Saida Abdul-Rahman Zakaria, Lynna Naa Adede Obeng, Frank Prempeh, Phenihas Kwadwo Opoku, Amos Andoono, Gilbert Elara Dagoe, Kwame Kusi Agyemang, Jonathan Mawutor Gmanyami, Dominic Nyarko, Paul Kofi Awuah, Gifty Sefaah Owusu, Solomon Anum-Doku

“…Data were gathered through pretested questionnaires, and statistical analyses included descriptive, bivariate, and multivariate methods, with logistic regression used to assess relationships at a significance level of α = 0.05. …”
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Development and validation of a nomogram for predicting lung cancer based on acoustic–clinical features by Zhou Lu, Zhou Lu, Jiaojiao Sha, Xunxia Zhu, Xiaoyong Shen, Xiaoyu Chen, Xin Tan, Rouyan Pan, Shuyi Zhang, Shi Liu, Tao Jiang, Jiatuo Xu

“…Subsequently, by integrating acoustic features and clinical features, a nomogram for predicting lung cancer was developed using a multivariate logistic regression model. The performance of the nomogram was evaluated by the area under the receiver operating characteristic curve (AUC) and the calibration curve. …”
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