Systematic review and meta-analysis of quotation inaccuracy in medicine by Christopher Baethge, Hannah Jergas

“…Random-effects meta-analyses and meta-regression were used to analyze error rates and trends (protocol pre-registered on OSF). …”
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Effectiveness of Japanese traditional medicine (Kamikihito and Saikokeishito) for treating long COVID: a prospective observational study by Rie Ono, Rie Ono, Rie Ono, Shin Takayama, Shin Takayama, Shin Takayama, Ryutaro Arita, Ryutaro Arita, Ryutaro Arita, Kota Ishizawa, Akiko Kikuchi, Akiko Kikuchi, Akiko Kikuchi, Michiaki Abe, Minoru Ohsawa, Minoru Ohsawa, Minoru Ohsawa, Natsumi Saito, Natsumi Saito, Takeshi Kanno, Koh Onodera, Koh Onodera, Koh Onodera, Tadashi Ishii, Tadashi Ishii, Tadashi Ishii

“…The formulations and factors associated with QOL changes were analyzed using multivariate logistic regression analyses.ResultsWe analyzed 112 patients. …”
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Impact of aging on alanine aminotransferase levels and frailty in chronic kidney disease patients: laboratory-based cross-sectional study in Northwest Ethiopia by Melaku Mekonnen Agidew, Anemut Tilahun Mulu, Awgichew Behaile Teklemariam, Misganaw Asmamaw Mengstie, Addisu Melake, Edgeit Abebe Zewde, Zelalem Tilahun Muche, Samuel Berihun Dagnew, Nega Dagnew Baye, Bezawit Adane, Muluken Walle, Girma Derso

“…Blood pressure, anthropometric parameters, ALT levels, and frailty were assessed according to standard procedures. Data were analyzed using SPSS version 25. Pearson’s correlation analysis, multiple linear analysis, and logistic regression analysis were performed to identify predictors of ALT levels and frailty, with a statistical significance level of p < 0.05.ResultsThe serum level of ALT was significantly lower in CKD patients aged ≥ 46 years compared to CKD patients aged 18–45 years. …”
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Strong association of interleukin-6 −174G/C promoter single nucleotide polymorphism with a decreased risk of colorectal cancer in ethnic Kashmiri population: A case control study by Mujeeb Zafar Banday, Henah Mehraj Balkhi, Aga Syed Sameer, Nissar A Chowdri, Ehtishamul Haq

“…Furthermore, the associations between these single nucleotide polymorphisms and various clinicopathological parameters, demographic variables, and environmental factors within the case group subjects with regard to colorectal cancer risk were also analyzed. …”
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Analysis of PLWH switching to medical insurance ART: a cross-sectional study in six Chinese provinces by Jingkun Hu, Wenting Kang, Jiahuan Guo, Jie Xu, Houlin Tang, Decai Zhao, Xinlun Wang, Peng Xu, Fan Lyu, Guang Zhang

“…Multivariable logistic regression was used to analyse the factors associated with switching to medical insurance ART. …”
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Association Between Platelet and Cerebral Small Vessel Disease: A Secondary Analysis Based on a Retrospective Cross‐Sectional Study in Korean Adults by Shujuan Huang, Hanbo Chen, Linbo Cai, Zhaoxi Liu, Zhanbo Yu, Yuqin Dan, Danghan Xu, Yunxuan Huang

“…A multivariable logistic regression model was constructed to assess the association between platelet count and MS‐cWMH, incrementally adjusting for demographic characteristics, cardiovascular risk factors, and imaging features. …”
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Urban greenspace and cardiovascular disease comorbidity at breast cancer diagnosis in the US: regional, racial/ethnic, and socioeconomic variations among older women by Jean C. Bikomeye, Emily L. McGinley, Yuhong Zhou, Sergey Tarima, Jamila L. Kwarteng, Andreas M. Beyer, Tina W.F. Yen, Aaron N. Winn, Kirsten M.M. Beyer

“…A better understanding of interactions among greenspace, other environmental factors, and individual lifestyle factors will help improve CVD outcomes among women with BC.…”
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A model based on preoperative nutrition-inflammation score for predicting mucocutaneous separation after enterostomy in colorectal cancer patients by Jie Yuan, Yali Hu, Jiaying Wang, Le Chang, Ting Guan, Xiaochao Fu, Wangwang Sheng, Jingyu Nian, Bing Zhu, Jifu E, Cheng Peng

“…In the training cohort, the independent factors for MCS were identified through univariate and multivariate Logistics regression analysis. …”
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Development of a Clinical Framework–Anastomotic Leakage Prediction Score (CF–ALPS) After Colorectal Surgery by Fırat Mülküt, Cem Batuhan Ofluoğlu

“…This study aimed to develop and validate the clinical framework–anastomotic leakage prediction score (CF–ALPS) score, a practical and accessible risk prediction model for AL that integrates patient-, tumor-, and surgery-related factors. <b>Methods:</b> A retrospective cohort of 294 patients who underwent colorectal surgery between 2019 and 2024 was analyzed. …”
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Prevalence and determinants of exposure to family planning messages among reproductive age women in five Sub-Saharan African countries: a multilevel analysis of 2021–2023 demograph... by Kidist Endalkachew Admasu, Tadesse Tarik Tamir, Mekdes Tigabu Alemu, Gebreeyesus Abera Zeleke, Alebachew Ferede Zegeye

“…Method Demographic and Health Survey data (2021–2023) from five sub-Saharan African countries (n = 48,133 women of reproductive age) were analyzed using STATA 17. Multilevel mixed-effects logistic regression identified significant factors (p < 0.05) associated with family planning message exposure, interpreted via adjusted odds. …”
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A qualitative non-participant observational study of non-prescription counseling in community pharmacies by Helene Marie Haldorsen Gombos, Tonje Krogstad, Marthe Rambøl Bjørknes, Hege Sletvold, Milada Cvancarova Hagen, Karin Svensberg

“…Statistical analysis was performed using Chi-square tests and Logistic regression to evaluate standard compliance and predictive factors. …”
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Clinical and pathogenetic role of immunoinflammatory activation and endothelial dysfunction in patients with coronary heart disease associated with hypothyroidism based on the resu... by N. S. Mykhailovska, T. V. Oliynyk

“…Conclusions: The cognitive model developed on the basis of correlation and regression analyzes demonstrates clinical and pathogenetic role of immune inflammation markers and endothelial dysfunction in the progression of structural and functional heart disorders, ischemic and autonomic changes in CHD patients with concomitant hypothyroidism, where FT4 level acts as a connecting link.…”
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What drives weight status among female university students? A machine learning analysis of sociodemographic, dietary, and lifestyle determinants by Radwan Qasrawi, Radwan Qasrawi, Abir Ajab, Leila Cheikh Ismail, Leila Cheikh Ismail, Ayesha Al Dhaheri, Sharifa Alblooshi, Razan Abu Ghoush, Stephanny Vicuna Polo, Malak Amro, Suliman Thwib, Ghada Issa, Haleama Al Sabbah

“…BackgroundObesity and underweight are increasingly common among young adult women, often resulting from complex interactions between diet, lifestyle, and socioeconomic factors. This study addresses that gap by applying machine learning to a wide range of behavioral, dietary, and demographic data. …”
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AI-Driven Advertising and Climate Change Awareness: Motivators for Green Consumption in the Second-Hand Electronics by Yani Dong, Boya Fu, Na Lv, Yuyan Luo

“…The impact of AI-generated advertising is also assessed. Ordered logistic regression analyzes the effects of these factors on consumption, with consumer online comments helping to evaluate ESG perceptions. …”
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Prevalence, trends, and molecular insights into colistin resistance among gram-negative bacteria in Egypt: a systematic review and meta-analysis by Ahmed Azzam, Haitham Salem, Mahmoud Nazih, Enas Mohamed Lotfy, Fatma E. Hassan, Heba Khaled

“…To explore the influence of study-level factors—including alternative susceptibility testing methods—a multivariate meta-regression analysis was performed. …”
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Risk prediction of stroke-associated pneumonia in acute ischemic stroke with atrial fibrillation using machine learning models by Tai Su, Peng Zhang, Peng Zhang, Bingyin Zhang, Zihao Liu, Zexing Xie, Xiaomei Li, Jixiang Ma, Tao Xin

“…Despite the high prevalence of AF in AIS patients, few studies have specifically addressed SAP prediction in this comorbid population. We aimed to analyze the factors influencing the occurrence of SAP in patients with AIS and AF and to assess the risk of SAP development through an optimal predictive model. …”
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Post COVID-19 Syndrome Monitoring in Confirmed COVID-19 Patients with Telemedicine at Cipto Mangunkusumo Hospital by Yogi Prabowo, Ahmad Riza'i, Hadiki Habib, Radi Muharris Mulyana, Septo Sulistio, Imamul Aziz Albar, Lies Dina Liastuti, Sumariyono Sumariyono, Trimartani Trimartani, Muhammad Khalil Hasmarani, Muhammad Zuhdi

“…Methods: This retrospective cohort study with total sampling method uses data from medical records and telemedicine observations of confirmed COVID-19 patients who received treatment in the Kiara room at Cipto Mangunkusumo. The data were then analyzed using chi-squared and multinomial logistic regression techniques. …”
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High pathological tumor response associates with enhanced overall survival in HNSCC patients following neoadjuvant immunochemotherapy and surgery by Yudong Ning, Yixuan Song, Han Li, Yuqin He, Shaoyan Liu, Yang Liu

“…Clinical and pathological characteristics were collected. Cox regression analysis was used to analyze clinical and pathological characteristics by univariate and multivariate analysis, and Kaplan Meier (KM) survival curves were plotted to evaluate the associations of clinical and pathological characteristics with the progression free survival (PFS) and overall survival(OS). …”
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A novel bone metastasis-related gene signature for predicting prognosis, anti-androgen resistance, and drug choice in prostate cancer by Yu Luo, Xiaoqi Deng, Chengcheng Wei, Zhangcheng Liu, Liangdong Song, Kun Han, Yunfan Li, Jindong Zhang, Shuai Su, Delin Wang

“…The immune landscape heterogeneity of subgroups was analyzed using CIBERSORT, ESTIMATE, and xCell algorithms. …”
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Enterostomy Closure Timing for Minimizing Postoperative Complications in Premature Infants by Juyoung Lee, Min-Jung Kang, Han-Suk Kim, Seung-Han Shin, Hyun-Young Kim, Ee-Kyung Kim, Jung-Hwan Choi

“…In a multiple logistic regression analysis, the only significant risk factor was a weight under 2660 g at the time of the closure operation. …”
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