Feasibility of extracting specimens from the site of preventive ileostomy and its impact on stoma retraction of laparoscopic low anterior resection for rectal cancer by Bai Junge, Wang Zhexue, Yang Ming, Ma Xiaolong, Liu Zheng, Chen Haipeng

“…[Methods] A retrospective analysis was conducted on the clinical data of 223 patients who underwent laparoscopic low anterior resection of rectal cancer combined with preventive ileostomy in Cancer Hospital of Peking Union Medical College, Chinese Academy of Medical Sciences from September 2015 to September 2019. …”
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Re-use of Building Products in the Netherlands by Loriane Icibaci

“…The proposed conceptual model evolved from a composition of concepts adapted from the Industrial Ecology theoretical background to represent the system of the typical commercial practice of reuse of building products in the Netherlands, supplied by-products derived from the housing stock, and are centralized on the role of the practitioner. Accordingly, the data collection and most findings from the qualitative analysis departed from clustering information structured by the preconceived theoretical framework. …”
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A comparative study on the application effects of total laparoscopic right-sided colon anastomosis and laparoscopic plus auxiliary incision anastomosis in radical resection of righ... by He Zhiyong, Qi Sheng, Zeng Dong, Zhang Jiancheng

“…[Methods] A retrospective analysis was conducted on the clinical data of 103 patients with RCC who were admitted to our hospital from January 2020 to May 2022. …”
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Efficacy of a Personalized Mobile Health Intervention (BedTime) to Increase Sleep Duration Among Short-Sleeping Patients With Type 2 Diabetes: Protocol for a Pilot Randomized Contr... by Yuki Ban, Kayo Waki, Ryohei Nakada, Akihiro Isogawa, Kengo Miyoshi, Hironori Waki, Shunsuke Kato, Hideaki Sawaki, Takashi Murata, Yushi Hirota, Shuichiro Saito, Seiji Nishikage, Atsuhito Tone, Mayumi Seno, Masao Toyoda, Shinichi Kajino, Kazuki Yokota, Yuya Tsurutani, Toshimasa Yamauchi, Masaomi Nangaku, Kazuhiko Ohe

“…The intervention period concluded on December 6, 2024, and the observation period ended on February 26, 2025, with 70 participants completing the observation period. The data analysis is currently underway, and results are expected to be published in July 2025. …”
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The impact of sarcopenia on the efficacy of posterior surgical treatment for degenerative lumbar scoliosis by Juyi Lai, Xinbei Li, Huangsheng Tan, Hualong Feng, Zhi Ming Lan, Zhitao Sun, Jian Wang, Yuanfei Fu, Shenghua He

“…Methods A retrospective analysis was conducted on clinical data from 76 patients with degenerative lumbar scoliosis, who meet the selection criteria between January 2019 and December 2023. …”
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The microenvironment cell index is a novel indicator for the prognosis and therapeutic regimen selection of cancers by Xian-Yan Yang, Nian Chen, Qian Wen, Yu Zhou, Tao Zhang, Ji Zhou, Cheng-Hui Liang, Li-Ping Han, Xiao-Ya Wang, Qing-Mei Kang, Xiao-Xia Zheng, Xue-Jia Zhai, Hong-Ying Jiang, Tian-Hua Shen, Jin-Wei Xiao, Yu-Xin Zou, Yun Deng, Shuang Lin, Jiang-Jie Duan, Jun Wang, Shi-Cang Yu

“…Methods The xCell algorithm was used to quantify the cellular components of the TNBC microenvironment based on bulk RNA sequencing (bulk RNA-seq) data. The MCs index (MCI) was constructed using the least absolute shrinkage and selection operator Cox (LASSO-Cox) regression analysis. …”
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Evaluation of parenting interventions for those with additional health and social care needs during pregnancy: THRIVE a multi-arm RCT with embedded economic and process components by Marion Henderson, Anja Wittkowski, Katie Buston, Karen Crawford, Alice MacLachlan, Alex McConnachie, Emma McIntosh, Claudia-Martina Messow, Catherine Nixon, Rosaleen O’Brien, Shona Shinwell, Daniel Wight, Yiqiao Xin, Rachel Calam, Ruth Dundas, James Law, Helen Minnis, Lucy Thompson, Philip Wilson

“…A coding framework was then agreed by RO and KB and discussed/refined with the THRIVE PE subgroup, based on the key questions for the PE, developed prior to implementation, with the addition of novel areas identified through data collection. Recruitment data collection and analysis Participants were recruited to THRIVE over 53 months from January 2014 to May 2018. …”
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Effect of auricular acupoint sticking and pressing therapy on preventing postoperative nausea and vomiting in patients undergoing thoracolumbar surgery under general anesthesia (耳穴... by CHEN Ying (陈英), XIE Wei (谢薇), YANG Mei (杨梅), REN Liwen (任丽雯), ZHANG Yating (张雅婷), YANG Ji (杨吉), REN Xiuya (任秀亚)

“…Methods To retrospectively analysis the clinical data of 126 patients who underwent posterior thoracolumbar surgery under general anesthesia, including 37 patients who underwent auricular point sticking and pressing 24 hours before surgery (group A), 48 patients who underwent auricular point sticking and pressing after surgery(group B) and 41 patients without auricular acupoint sticking and pressing therapy after operation (group C). …”
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Deep learning radiomics of elastography for diagnosing compensated advanced chronic liver disease: an international multicenter study by Xue Lu, Haoyan Zhang, Hidekatsu Kuroda, Matteo Garcovich, Victor de Ledinghen, Ivica Grgurević, Runze Linghu, Hong Ding, Jiandong Chang, Min Wu, Cheng Feng, Xinping Ren, Changzhu Liu, Tao Song, Fankun Meng, Yao Zhang, Ye Fang, Sumei Ma, Jinfen Wang, Xiaolong Qi, Jie Tian, Xin Yang, Jie Ren, Ping Liang, Kun Wang

“…A total of 1937 patients with 9472 2D-SWE images were included in the statistical analysis. Compared to 2D-SWE, the model achieved a higher area under the receiver operating characteristic curve (AUC) (0.89 vs 0.83, P = 0.025). …”
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Preoperatively-determined Red Distribution Width (RDW) predicts prolonged length of stay after single-level spinal fusion in elderly patients by Anton Früh, Dietmar Frey, Adam Hilbert, Claudius Jelgersma, Christian Uhl, Nitzan Nissimov, Peter Truckenmüller, David Wasilewski, Dimitrios Rallios, Matthias Hoppe, Simon Bayerl, Nils Hecht, Peter Vajkoczy, Lars Wessels

“…Classical correlation analysis, Receiver-operating characteristic (ROC) and new machine learning algorithms) were used. …”
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CarotidSCORE.RU — risk stratification for complications after carotid endarterectomy by A. N. Kazantsev, D. D. Khasanova, A. D. Alpatskaya, A. V. Korotkikh, M. O. Dzhanelidze, M. A. Rusakova, E. U. Kharchilava, M. V. Sulimenko, V. A. Lutsenko, R. V. Sultanov, F. R. Alizada, E. O. Meleshin, E. R. Ginzburg, A. E. Gofman, E. O. Alekseeva, R. Yu. Lider, A. A. Pivovarov, A. B. Zakeryaev, G. Sh. Bagdavadze, M. M. Makoeva, A. I. Klimova, A. S. Zharova, I. A. Chernyavtsev, O. O. Abramov, K. L. Zakharova, I. M. Radzhabov, I. A. Karmokov, A. P. Kuklev, K. N. Solotenkova, M. G. Pachkoria, I. S. Sem’in, A. A. Kostenkov, K. P. Chernykh

“…The present study is based on the analysis of a multicenter Russian database including 25812 patients after CE operated on from January 1, 2010 to April 1, 2022. …”
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Application of a deep learning algorithm for the diagnosis of HCC by Philip Leung Ho Yu, Keith Wan-Hang Chiu, Jianliang Lu, Gilbert C.S. Lui, Jian Zhou, Ho-Ming Cheng, Xianhua Mao, Juan Wu, Xin-Ping Shen, King Ming Kwok, Wai Kuen Kan, Y.C. Ho, Hung Tat Chan, Peng Xiao, Lung-Yi Mak, Vivien W.M. Tsui, Cynthia Hui, Pui Mei Lam, Zijie Deng, Jiaqi Guo, Li Ni, Jinhua Huang, Sarah Yu, Chengzhi Peng, Wai Keung Li, Man-Fung Yuen, Wai-Kay Seto

“…We conducted sensitivity analyses of different subgroups, deep learning explainability evaluation, and misclassification analysis. Results: From 2,832 patients and 4,305 CT observations, the best-performing model was Spatio-Temporal 3D Convolution Network (ST3DCN), achieving area under receiver-operating-characteristic curves (AUCs) of 0.919 (95% CI, 0.903–0.935) and 0.901 (95% CI, 0.879–0.924) at the observation (n = 1,077) and patient (n = 685) levels, respectively during internal validation, compared with 0.839 (95% CI, 0.814–0.864) and 0.822 (95% CI, 0.790–0.853), respectively for standard of care radiological interpretation. …”
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Investigating the predictive role of serum amyloid A and its association with immunological and coagulation biomarkers in recurrent pregnancy loss by Mahmoud Thabet, Kawkab Ali Hasan, Ismail A. Elhefnawy, Ghada Barakat, Dalia Moemen, Ahmed Ragab, Dalia Mahmoud Abdelmonem Elsherbini, Mohamed El-Sherbiny, Nagwan Ahmed Bahgat, Maged Ragheb Elshamy, Rayan G. Albarakati, Baisakhi Kar, Sara Izzeldin Hassan, Spogmai Arif, Saima Reshi, Abida Ikram, Rebecamma Ommen, Nayla Jamal Bushaqer, Mahmoud Mohamed Abdel-Razik, Waleed Eldars

“…The SAA levels were significantly elevated in both LA-positive and ACA-positive IgM patients. The receiver operating characteristic (ROC) curve analysis demonstrated that at SAA > 24.8 for the prediction of recurrent pregnancy loss, sensitivity was 98.86%, and specificity was 92.31%. …”
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Association between pro-inflammatory diet and fecal incontinence: a large population-based study by Haiyang Wang, Haiyang Wang, Zihan Liu, Zihan Liu, Xingfu Lu, Enyu Luan, Enyu Luan, Tingting Dong, Tingting Dong, Can Li, Can Li, Yanni Lv, Erkang Wu, Tao Shen, Tao Shen

“…However, the associations between diets and FI are largely unknown.MethodsIn this study, we collected cross-sectional data from 31,034 participants enrolled in the National Health and Nutrition Examination Survey (NHANES). …”
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Machine learning approaches to identify neonates and young children at risk for postdischarge mortality in Dar es Salaam, Tanzania and Monrovia, Liberia by Rodrick Kisenge, Todd A. Florin, Cynthia G. Whitney, Michelle Niescierenko, Julia Kamara, Abraham Samma, Evance Godfrey, Chris A. Rees, Readon C. Ideh, Ye-Jeung G. Coleman-Nekar, Hussein K. Manji, Christopher R. Sudfeld, Adrianna L. Westbrook, Claudia R. Morris, Karim P. Manji, Christopher P. Duggan, Rishikesan Kamaleswaran

“…XGBoost, Hist Gradient Boost, and Neural Network models yielded the greatest discriminatory value (area under the receiver operating characteristic curves range: 0.94–0.99) and fewest features, which included six features for neonates and five for young children. …”
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The application of ultrasound-guided cannulated screw removal after proximal tibial fracture surgery: a retrospective study by Kai Gu, Jiaqiang Qin, Meizhen Guo, Ruiliang Chu, Jiaxu Chen, Fusheng Qian, Yi Zhong

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Exploring voluntary sector specialist services for victim-survivors of sexual violence in England: the PROSPER co-production study by Caroline Bradbury-Jones, Sarah Damery, Kirsten Fruin, Clare Gunby, Jenny Harlock, Lucy Hebberts, Louise Isham, Anne-Marie Jones, Fay Maxted, Amelia Mighty, Priti Parmar, Laura Patterson, Jason Schaub, Fee Scott, Harriet Smailes, Debs Smith, Julie Taylor

“…Limitations The COVID-19 pandemic meant that we were unable to use the proposed methods of data collection for the qualitative components. Mitigation was through developing online modes of data collection. …”
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Deep Learning-Based Identification of Echocardiographic Abnormalities From Electrocardiograms by Goro Fujiki, MD, Satoshi Kodera, MD, PhD, Naoto Setoguchi, MD, Kengo Tanabe, MD, PhD, Kotaro Miyaji, MD, PhD, Shunichi Kushida, MD, PhD, Mike Saji, MD, PhD, Mamoru Nanasato, MD, PhD, Hisataka Maki, MD, PhD, Hideo Fujita, MD, PhD, Nahoko Kato, MD, PhD, Hiroyuki Watanabe, MD, PhD, Minami Suzuki, MD, Masao Takahashi, MD, PhD, Naoko Sawada, MD, PhD, Jiro Ando, MD, Masataka Sato, MD, Shinnosuke Sawano, MD, PhD, Susumu Katsushika, MD, PhD, Hiroki Shinohara, MD, PhD, Norifumi Takeda, MD, PhD, Katsuhito Fujiu, MD, PhD, Hiroshi Akazawa, MD, PhD, Hiroyuki Morita, MD, PhD, Issei Komuro, MD, PhD

“…Methods: We obtained 229,439 paired ECG and echocardiography data sets from 8 centers. Six centers contributed to model development and 2 to external validation. …”
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Experience of using SNOM in gunshot wounds of the head, chest, abdomen and soft tissues by E.M. Khoroshun, V.V. Makarov, S.I. Panasenko, V.V. Nehoduiko, S.A. Shypilov, Yu.V. Bunin, V.S. Dolhodush

“…The average age of participants was 43.6 ± 0.8 years. According to our data, the structure of injuries by condition was as follows: mild — 61.4 %, moderate — 29.2 %; severe and extremely severe — 9.4 %. …”
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Splenectomy during cytoreductive surgery in advanced epithelial ovarian cancer can be predicted by Thien-Kim Do, Yohann Dabi, Cyril Touboul, Jennifer Uzan, François Margueuritte, Geoffroy Canlorbe, Yohan Kerbage, Vincent Lavoué, Chérif Akladios, Lobna Ouldamer, Hélène Costaz, Alexandre Bricou, Henri Azaïs, Pauline Chauvet, Xavier Carcopino, Cyrille Huchon, Camille Mimoun

“…Model discrimination was assessed using a Receiver Operating Characteristic (ROC) curve. Decision Curve Analysis (DCA) was then conducted to evaluate the model’s net clinical benefit across a range of threshold probabilities. …”
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