Novel technique for endoscopic ultrasound-guided gallbladder drainage to skip the needle tract dilation step: Efficacy of a 6-mm antimigration metal stent with a thin, tapered deli... by Keiichi Hatamaru, Masayuki Kitano, Masahiro Itonaga, Yasunobu Yamashita, Takashi Tamura, Yuki Kawaji, Junya Nuta

“…No adverse events or recurrence of cholecystitis due to stent occlusion that occurred in any patient at follow-up was observed. Conclusion : In conclusion, EUS-GBD using the newly designed metal stent showed excellent safety and longterm outcomes, and may be suitable as an alternative treatment in patients who are unsuitable for cholecystectomy.…”
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RfxCas13d-mediated inhibition of Circ1647 alleviates renal fibrosis via PI3K/AKT signaling pathway by Yufang Ni, Hongmin Zhang, Qianwen Xian, Wenjie Qin, Hongwei Su, Li Wang, Jianchun Li

“…In terms of mechanism, Circ1647 may mediate the PI3K/AKT Signaling Pathway as demonstrated by the balance of the phosphorylation of PI3K and AKT in vivo and the aggravated phosphorylation of PI3K and AKT in vitro. These observations were corroborated by the effects of the PI3K inhibitor LY294002, which mitigated fibrosis post Circ1647 overexpression.Conclusion Our study suggests that Circ1647 plays a significant role in renal fibrosis by mediating the PI3K/AKT signaling pathway. …”
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Search for lepton number violating decays of D s + $$ {\textrm{D}}_{\textrm{s}}^{+} $$ → h − h0e+e+ by The BESIII collaboration, M. Ablikim, M. N. Achasov, P. Adlarson, O. Afedulidis, X. C. Ai, R. Aliberti, A. Amoroso, Q. An, Y. Bai, O. Bakina, I. Balossino, Y. Ban, H.-R. Bao, V. Batozskaya, K. Begzsuren, N. Berger, M. Berlowski, M. Bertani, D. Bettoni, F. Bianchi, E. Bianco, A. Bortone, I. Boyko, R. A. Briere, A. Brueggemann, H. Cai, X. Cai, A. Calcaterra, G. F. Cao, N. Cao, S. A. Cetin, X. Y. Chai, J. F. Chang, G. R. Che, Y. Z. Che, G. Chelkov, C. Chen, C. H. Chen, Chao Chen, G. Chen, H. S. Chen, H. Y. Chen, M. L. Chen, S. J. Chen, S. L. Chen, S. M. Chen, T. Chen, X. R. Chen, X. T. Chen, Y. B. Chen, Y. Q. Chen, Z. J. Chen, Z. Y. Chen, S. K. Choi, G. Cibinetto, F. Cossio, J. J. Cui, H. L. Dai, J. P. Dai, A. Dbeyssi, R. E. de Boer, D. Dedovich, C. Q. Deng, Z. Y. Deng, A. Denig, I. Denysenko, M. Destefanis, F. De Mori, B. Ding, X. X. Ding, Y. Ding, Y. Ding, J. Dong, L. Y. Dong, M. Y. Dong, X. Dong, M. C. Du, S. X. Du, Y. Y. Duan, Z. H. Duan, P. Egorov, Y. H. Fan, J. Fang, J. Fang, S. S. Fang, W. X. Fang, Y. Fang, Y. Q. Fang, R. Farinelli, L. Fava, F. Feldbauer, G. Felici, C. Q. Feng, J. H. Feng, Y. T. Feng, M. Fritsch, C. D. Fu, J. L. Fu, Y. W. Fu, H. Gao, X. B. Gao, Y. N. Gao, Yang Gao, S. Garbolino, I. Garzia, L. Ge, P. T. Ge, Z. W. Ge, C. Geng, E. M. Gersabeck, A. Gilman, K. Goetzen, L. Gong, W. X. Gong, W. Gradl, S. Gramigna, M. Greco, M. H. Gu, Y. T. Gu, C. Y. Guan, A. Q. Guo, L. B. Guo, M. J. Guo, R. P. Guo, Y. P. Guo, A. Guskov, J. Gutierrez, K. L. Han, T. T. Han, F. Hanisch, X. Q. Hao, F. A. Harris, K. K. He, K. L. He, F. H. Heinsius, C. H. Heinz, Y. K. Heng, C. Herold, T. Holtmann, P. C. Hong, G. Y. Hou, X. T. Hou, Y. R. Hou, Z. L. Hou, B. Y. Hu, H. M. Hu, J. F. Hu, Q. P. Hu, S. L. Hu, T. Hu, Y. Hu, G. S. Huang, K. X. Huang, L. Q. Huang, X. T. Huang, Y. P. Huang, Y. S. Huang, Z. Y. Huang, T. Hussain, F. Hölzken, N. Hüsken, N. in der Wiesche, J. Jackson, S. Janchiv, J. H. Jeong, Q. Ji, Q. P. Ji, W. Ji, X. B. Ji, X. L. Ji, Y. Y. Ji, X. Q. Jia, Z. K. Jia, D. Jiang, H. B. Jiang, P. C. Jiang, S. S. Jiang, T. J. Jiang, X. S. Jiang, Y. Jiang, J. B. Jiao, J. K. Jiao, Z. Jiao, S. Jin, Y. Jin, M. Q. Jing, X. M. Jing, T. Johansson, S. Kabana, N. Kalantar-Nayestanaki, X. L. Kang, X. S. Kang, M. Kavatsyuk, B. C. Ke, V. Khachatryan, A. Khoukaz, R. Kiuchi, O. B. Kolcu, B. Kopf, M. Kuessner, X. Kui, N. Kumar, A. Kupsc, W. Kühn, L. Lavezzi, T. T. Lei, Z. H. Lei, M. Lellmann, T. Lenz, C. Li, C. Li, C. H. Li, Cheng Li, D. M. Li, F. Li, G. Li, H. B. Li, H. J. Li, H. N. Li, Hui Li, J. R. Li, J. S. Li, K. Li, K. L. Li, L. J. Li, L. K. Li, Lei Li, M. H. Li, P. R. Li, Q. M. Li, Q. X. Li, R. Li, S. X. Li, T. Li, W. D. Li, W. G. Li, X. Li, X. H. Li, X. L. Li, X. Y. Li, X. Z. Li, Y. G. Li, Z. J. Li, Z. Y. Li, C. Liang, H. Liang, H. Liang, Y. F. Liang, Y. T. Liang, G. R. Liao, Y. P. Liao, J. Libby, A. Limphirat, C. C. Lin, D. X. Lin, T. Lin, B. J. Liu, B. X. Liu, C. Liu, C. X. Liu, F. Liu, F. H. Liu, Feng Liu, G. M. Liu, H. Liu, H. B. Liu, H. H. Liu, H. M. Liu, Huihui Liu, J. B. Liu, J. Y. Liu, K. Liu, K. Y. Liu, Ke Liu, L. Liu, L. C. Liu, Lu Liu, M. H. Liu, P. L. Liu, Q. Liu, S. B. Liu, T. Liu, W. K. Liu, W. M. Liu, X. Liu, X. Liu, X. Y. Liu, Y. Liu, Y. Liu, Y. B. Liu, Z. A. Liu, Z. D. Liu, Z. Q. Liu, X. C. Lou, F. X. Lu, H. J. Lu, J. G. Lu, X. L. Lu, Y. Lu, Y. P. Lu, Z. H. Lu, C. L. Luo, J. R. Luo, M. X. Luo, T. Luo, X. L. Luo, X. R. Lyu, Y. F. Lyu, F. C. Ma, H. Ma, H. L. Ma, J. L. Ma, L. L. Ma, L. R. Ma, M. M. Ma, Q. M. Ma, R. Q. Ma, T. Ma, X. T. Ma, X. Y. Ma, Y. M. Ma, F. E. Maas, I. MacKay, M. Maggiora, S. Malde, Y. J. Mao, Z. P. Mao, S. Marcello, Z. X. Meng, J. G. Messchendorp, G. Mezzadri, H. Miao, T. J. Min, R. E. Mitchell, X. H. Mo, B. Moses, N. Yu. Muchnoi, J. Muskalla, Y. Nefedov, F. Nerling, L. S. Nie, I. B. Nikolaev, Z. Ning, S. Nisar, Q. L. Niu, W. D. Niu, Y. Niu, S. L. Olsen, S. L. Olsen, Q. Ouyang, S. Pacetti, X. Pan, Y. Pan, A. Pathak, Y. P. Pei, M. Pelizaeus, H. P. Peng, Y. Y. Peng, K. Peters, J. L. Ping, R. G. Ping, S. Plura, V. Prasad, F. Z. Qi, H. Qi, H. R. Qi, M. Qi, T. Y. Qi, S. Qian, W. B. Qian, C. F. Qiao, X. K. Qiao, J. J. Qin, L. Q. Qin, L. Y. Qin, X. P. Qin, X. S. Qin, Z. H. Qin, J. F. Qiu, Z. H. Qu, C. F. Redmer, K. J. Ren, A. Rivetti, M. Rolo, G. Rong, Ch. Rosner, M. Q. Ruan, S. N. Ruan, N. Salone, A. Sarantsev, Y. Schelhaas, K. Schoenning, M. Scodeggio, K. Y. Shan, W. Shan, X. Y. Shan, Z. J. Shang, J. F. Shangguan, L. G. Shao, M. Shao, C. P. Shen, H. F. Shen, W. H. Shen, X. Y. Shen, B. A. Shi, H. Shi, H. C. Shi, J. L. Shi, J. Y. Shi, Q. Q. Shi, S. Y. Shi, X. Shi, J. J. Song, T. Z. Song, W. M. Song, Y. J. Song, Y. X. Song, S. Sosio, S. Spataro, F. Stieler, S. S. Su, Y. J. Su, G. B. Sun, G. X. Sun, H. Sun, H. K. Sun, J. F. Sun, K. Sun, L. Sun, S. S. Sun, T. Sun, W. Y. Sun, Y. Sun, Y. J. Sun, Y. Z. Sun, Z. Q. Sun, Z. T. Sun, C. J. Tang, G. Y. Tang, J. Tang, M. Tang, Y. A. Tang, L. Y. Tao, Q. T. Tao, M. Tat, J. X. Teng, V. Thoren, W. H. Tian, Y. Tian, Z. F. Tian, I. Uman, Y. Wan, S. J. Wang, B. Wang, B. L. Wang, Bo Wang, D. Y. Wang, F. Wang, H. J. Wang, J. J. Wang, J. P. Wang, K. Wang, L. L. Wang, M. Wang, N. Y. Wang, S. Wang, S. Wang, T. Wang, T. J. Wang, W. Wang, W. Wang, W. P. Wang, X. Wang, X. F. Wang, X. J. Wang, X. L. Wang, X. N. Wang, Y. Wang, Y. D. Wang, Y. F. Wang, Y. H. Wang, Y. L. Wang, Y. N. Wang, Y. Q. Wang, Yaqian Wang, Yi Wang, Z. Wang, Z. L. Wang, Z. Y. Wang, Ziyi Wang, D. H. Wei, F. Weidner, S. P. Wen, Y. R. Wen, U. Wiedner, G. Wilkinson, M. Wolke, L. Wollenberg, C. Wu, J. F. Wu, L. H. Wu, L. J. Wu, X. Wu, X. H. Wu, Y. Wu, Y. H. Wu, Y. J. Wu, Z. Wu, L. Xia, X. M. Xian, B. H. Xiang, T. Xiang, D. Xiao, G. Y. Xiao, S. Y. Xiao, Y. L. Xiao, Z. J. Xiao, C. Xie, X. H. Xie, Y. Xie, Y. G. Xie, Y. H. Xie, Z. P. Xie, T. Y. Xing, C. F. Xu, C. J. Xu, G. F. Xu, H. Y. Xu, M. Xu, Q. J. Xu, Q. N. Xu, W. Xu, W. L. Xu, X. P. Xu, Y. Xu, Y. C. Xu, Z. S. Xu, F. Yan, L. Yan, W. B. Yan, W. C. Yan, X. Q. Yan, H. J. Yang, H. L. Yang, H. X. Yang, J. H. Yang, T. Yang, Y. Yang, Y. F. Yang, Y. F. Yang, Y. X. Yang, Z. W. Yang, Z. P. Yao, M. Ye, M. H. Ye, J. H. Yin, Junhao Yin, Z. Y. You, B. X. Yu, C. X. Yu, G. Yu, J. S. Yu, M. C. Yu, T. Yu, X. D. Yu, Y. C. Yu, C. Z. Yuan, J. Yuan, J. Yuan, L. Yuan, S. C. Yuan, Y. Yuan, Z. Y. Yuan, C. X. Yue, A. A. Zafar, F. R. Zeng, S. H. Zeng, X. Zeng, Y. Zeng, Y. J. Zeng, Y. J. Zeng, X. Y. Zhai, Y. C. Zhai, Y. H. Zhan, A. Q. Zhang, B. L. Zhang, B. X. Zhang, D. H. Zhang, G. Y. Zhang, H. Zhang, H. Zhang, H. C. Zhang, H. H. Zhang, H. H. Zhang, H. Q. Zhang, H. R. Zhang, H. Y. Zhang, J. Zhang, J. Zhang, J. J. Zhang, J. L. Zhang, J. Q. Zhang, J. S. Zhang, J. W. Zhang, J. X. Zhang, J. Y. Zhang, J. Z. Zhang, Jianyu Zhang, L. M. Zhang, Lei Zhang, P. Zhang, Q. Y. Zhang, R. Y. Zhang, S. H. Zhang, Shulei Zhang, X. M. Zhang, X. Y. Zhang, X. Y. Zhang, Y. Zhang, Y. Zhang, Y. T. Zhang, Y. H. Zhang, Y. M. Zhang, Yan Zhang, Z. D. Zhang, Z. H. Zhang, Z. L. Zhang, Z. Y. Zhang, Z. Y. Zhang, Z. Z. Zhang, G. Zhao, J. Y. Zhao, J. Z. Zhao, L. Zhao, Lei Zhao, M. G. Zhao, N. Zhao, R. P. Zhao, S. J. Zhao, Y. B. Zhao, Y. X. Zhao, Z. G. Zhao, A. Zhemchugov, B. Zheng, B. M. Zheng, J. P. Zheng, W. J. Zheng, Y. H. Zheng, B. Zhong, X. Zhong, H. Zhou, J. Y. Zhou, L. P. Zhou, S. Zhou, X. Zhou, X. K. Zhou, X. R. Zhou, X. Y. Zhou, Y. Z. Zhou, Z. C. Zhou, A. N. Zhu, J. Zhu, K. Zhu, K. J. Zhu, K. S. Zhu, L. Zhu, L. X. Zhu, S. H. Zhu, T. J. Zhu, W. D. Zhu, Y. C. Zhu, Z. A. Zhu, J. H. Zou, J. Zu

“…No significant signal is observed, and the upper limits of their branching fractions at the 90% confidence level are determined to be B $$ \mathcal{B} $$ ( D s + $$ {D}_{\textrm{s}}^{+} $$ → ϕπ − e + e +) < 6.9 × 10 −5, B $$ \mathcal{B} $$ ( D s + $$ {D}_{\textrm{s}}^{+} $$ → ϕK − e + e +) < 9.9 × 10 −5, B $$ \mathcal{B} $$ ( D s + $$ {D}_{\textrm{s}}^{+} $$ → K S 0 $$ {K}_S^0 $$ π − e + e +) < 1.3 × 10 −5, B $$ \mathcal{B} $$ ( D s + $$ {D}_{\textrm{s}}^{+} $$ → K S 0 $$ {K}_S^0 $$ K − e + e +) < 2.9 × 10 −5, B $$ \mathcal{B} $$ ( D s + $$ {D}_{\textrm{s}}^{+} $$ → π − π 0 e + e +) < 2.9 × 10 −5 and B $$ \mathcal{B} $$ ( D s + $$ {D}_{\textrm{s}}^{+} $$ → K − π 0 e + e +) < 3.4 × 10 −5. …”
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Beyond traditional metrics: evaluating the triglyceride-total cholesterol-body weight index (TCBI) in cardiovascular risk assessment by Mohsen Rezaee, Farzam Kamrani, Mobina Imannezhad, Hamed Hashemi Shahri, Waleed Khaled Saihood, Alireza Rezvani, Parsa Mearaji Far, Hanie Mahaki, Habibollah Esmaily, Mohsen Moohebati, Mohammad Shariati, Majid Ghayour-Mobarhan, Susan Darroudi

“…Results Following a 10-year follow-up period, a significant positive relationship was observed between TCBI (HR: 1.078, 95% CI: 1.012–1.15), CRI-I (HR: 1.16, 95% CI: 1.007–1.337), and CRI-II (HR: 1.199, 95% CI: 1.001–1.437) with CVD mortality. …”
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Copy Number Variations in Short Tandem Repeats Modulate Growth Traits in Penaeid Shrimp Through Neighboring Gene Regulation by Hao Zhou, Guangfeng Qiang, Yan Xia, Jian Tan, Qiang Fu, Kun Luo, Xianhong Meng, Baolong Chen, Meijia Chen, Juan Sui, Ping Dai, Xupeng Li, Mianyu Liu, Qun Xing, Jie Kong, Sheng Luan

“…In this study, we systematically identified and compared STRs across multiple species, confirming a significantly higher prevalence of STRs (26–32%) in penaeid shrimp, which is markedly higher than that observed in other species, such as mammals (1.3–2.1%) and plants (0.21–0.73%). …”
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Multiomics approach identifies dysregulated lipidomic and proteomic networks in Parkinson’s disease patients mutated in TMEM175 by Federica Carrillo, Marco Ghirimoldi, Giorgio Fortunato, Nicole Piera Palomba, Laura Ianiro, Veronica De Giorgis, Shahzaib Khoso, Tiziana Giloni, Sara Pietracupa, Nicola Modugno, Elettra Barberis, Marcello Manfredi, Teresa Esposito

“…The plasma level of Phosphatidylcholines (PC) and Phosphatidylinositol (PI) 34:1 significantly correlated with an earlier age at onset of the disease in TMEM175 patients (p = 0.008; p = 0.006). In plasma we also observed altered amino acids metabolic pathways in PD patients. …”
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Neutrophil-to-Lymphocyte Ratio, Monocyte-to-Lymphocyte Ratio, Platelet-to-Lymphocyte Ratio, and Mean Platelet Volume-to-Platelet Count Ratio as Biomarkers in Critically Ill and Inj... by Dragan Djordjevic, Goran Rondovic, Maja Surbatovic, Ivan Stanojevic, Ivo Udovicic, Tamara Andjelic, Snjezana Zeba, Snezana Milosavljevic, Nikola Stankovic, Dzihan Abazovic, Jasna Jevdjic, Danilo Vojvodic

“…A total of 392 critically ill and injured patients, admitted to surgical ICU, were enrolled in a prospective observational study. Leukocyte and platelet counts were recorded upon fulfilling Sepsis-3 criteria and for traumatized Injury Severity Score > 25 points. …”
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Retinal Microperimetry as a Novel Tool for Early Detection of Subclinical Cognitive Dysfunction and Brain Damage in Type 1 Diabetes: A Pilot Study by Manel Mateu‐Salat, Nicole Stanton‐Yonge, Frederic Sampedro Santaló, José Ignacio Vela, Jesús Díaz Cascajosa, Eva Safont Pérez, Daniela Rego‐Lorca, Ana Chico

“…Design, Setting and Participants Pilot observational study, people with T1D without clinical cognitive impairment, moderate–severe retinopathy or glaucoma. …”
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Pain Catastrophizing Is Related to Static Postural Control Impairment in Patients with Nonspecific Chronic Low Back Pain: A Cross-Sectional Study by Chanjuan Zhang, Zhou Zhang, Yuelong Li, Chenyang Feng, Haiqi Meng, Yang Gao, Wai Leung Ambrose Lo, Chuhuai Wang

“…Results. Our results observed a larger COP sway area in NSCLBP group under eyes-closed condition p<0.001 and a lower level of voluntary activation of the bilateral TrA p<0.001, compared with the healthy control group. …”
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Efficacy of dexamethasone or clonidine as adjuvants in interscalene brachial plexus block for preventing rebound pain after shoulder surgery: a randomized clinical trial by Layana Vieira Nobre, Leonardo Henrique Cunha Ferraro, Juscelino Afonso de Oliveira Júnior, Vitória Luiza Locatelli Winkeler, Luis Flávio França Vinhosa Muniz, Hiago Parreão Braga, Plínio da Cunha Leal

“…Results: The incidence of rebound pain was not statistically different between groups (p-value = 0.22), with an observed incidence of 41.2% (95% CI 25.9‒57.9), 28.6% (95% CI 16.7‒43.3), and 23.3% (95% CI 12.6‒37.6) in the control, dexamethasone, and clonidine groups, respectively. …”
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Efficacy comparison of optimal natural orifice specimen extraction for robotic middle rectal cancer resection in women: transanal or transvaginal orifice by Yao Yao, Jiarui Ding, Houqiong Ju, Lingling Yang, Yang Liu, Yahang Liang, Yuli Yuan, Taiyuan Li, Xiong Lei

“…There was no statistically significant difference in urinary function between the groups for both pre-menopausal and peri-menopausal patients (P = 0.711, P = 0.106). No difference was observed in sexual function between the two groups (P = 0.351); however, pre-menopausal patients in RATA group had better sexual function than those in RATV group (P = 0.045). …”
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Snake Venom Pharmacokinetics and Acute Toxic Outcomes Following <i>Daboia siamensis</i> Envenoming: Experimental and Clinical Correlations by Sethapong Lertsakulbunlue, Wipapan Khimmaktong, Orawan Khow, Wittawat Chantkran, Jureeporn Noiphrom, Kanyanat Promruangreang, Lawan Chanhome, Janeyuth Chaisakul

“…A retrospective study of the clinical profile and laboratory examination of Russell’s viper envenomed patients in Central Thailand was also evaluated, showing that systemic coagulopathy and local effects were commonly observed in the early stage of <i>D. siamensis</i> envenoming. …”
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American Orthopaedic Foot and Ankle Society (AOFAS) Ankle-Hindfoot Score: a study protocol for the translation and validation of the Dutch language version by Cornelis H Van der Vlies, Esther M M van Lieshout, Michael H J Verhofstad, Duncan E Meuffels, A Siebe de Boer, Wim E Tuinebreijer, P Ted Den Hoed

“…The main aims of this study are to translate and culturally adapt the AOFAS Ankle-Hindfoot Score questionnaire into Dutch according to international guidelines, and to evaluate the measurement properties of the AOFAS Ankle-Hindfoot Score-Dutch language version (DLV) in patients with a unilateral ankle or hindfoot fracture.Methods and analysis The design of the study will be a multicentre prospective observational study (case series) in patients who presented to the emergency department with a unilateral ankle or hindfoot fracture or (fracture) dislocation. …”
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Efficacy and Safety of Sacubitril/Valsartan Versus Amlodipine in Japanese Patients With Essential Hypertension: A Randomized, Multicenter, Open‐Label, Noninferiority Study (PARASOL... by Koichi Yamamoto, Daisuke Yarimizu, Ayano Shimanishi, Shunsuke Eguchi, Kazuma Iekushi, Yoichi Takami, Yoichi Nozato, Kazuomi Kario, Hiromi Rakugi

“…The mean change in 24‐h SBP in sacubitril/valsartan was noninferior to that in amlodipine (between‐treatment difference −0.62 mmHg [95% confidential interval: −3.23 to 1.98; p = 0.003 for noninferiority; independent t‐test with noninferiority margin 3.0 mmHg]), with no significant difference observed (p = 0.637). There was no significant difference in the incidence of adverse events (AEs). …”
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Real-World Outcomes of Pralsetinib in RET Fusion-Positive NSCLC by Francesca Lucibello, MD, Valérie Gounant, MD, PhD, Mihaela Aldea, MD, PhD, Michaël Duruisseaux, MD, PhD, Maurice Perol, MD, Christos Chouaid, MD, Jaafar Bennouna, MD, PhD, Vincent Fallet, MD, Aldo Renault, MD, Florian Guisier, MD, PhD, Etienne Giroux-Leprieur, MD, PhD, Marie Wislez, MD, PhD, Anne-Claire Toffart, MD, PhD, Julien Mazieres, MD, PhD, Clémence Basse, MD, PhD, Nadia Hegarat, PhD, Matthieu Carton, MD, Nicolas Girard, MD, PhD

“…Conclusion: In this extensive real-world cohort of patients with advanced or metastatic NSCLC harboring RET fusions, we highlight the antitumor efficacy of pralsetinib, particularly when administered in later treatment lines. We also observe the aggressive nature of disease progression, frequent utilization of chemotherapy and antiangiogenic agents as initial subsequent therapies, and limited insight into resistance mechanisms due to infrequent rebiopsy and genomic profiling at progression.…”
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The Role of SUMO1 Modification of SOX9 in Cartilage Development Stimulated by Zinc Ions in Mice by Na Xue, Jing Zhao, Jing Yin, Liang Liu, Zhong Yang, Shuchao Zhai, Xiyun Bian, Xiang Gao

“…Moreover, diminished expression levels of SUMO1 and UBC9 were observed in the IHC and Western blot results. Furthermore, Western blot and Co-IP assays revealed an augmented interaction between SOX9 and SUMO1, which was potentiated by ZnCl2 treatment. …”
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Unconventional use of injectable long-acting cabotegravir and rilpivirine against HIV-1 in PWH in clinical need: 52 weeks real-world data by Valentina Iannone, Roberto Rossotti, Nicholas Brian Bana, Gabriele Cavazza, Federico D’Amico, Francesca Lombardi, Pierluigi Francesco Salvo, Gianmaria Baldin, Simona Di Giambenedetto, Dario Bernacchia, Gabriele Pagani, Alberto Borghetti, Stefano Rusconi

“…Methods Retrospective observational study in two Italian outpatient settings enrolling PWH who switched to LA CAB + RPV from February 2021 to January 2024 in presence of exclusion criteria enlisted in registrational trials or with other worrisome clinical risks. …”
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Case report: Chest radiotherapy-induced vertebral fractures in lung cancer patients: a case series and literature review by Oscar Arrieta, Francisco Lozano-Ruiz, Alberto Guijosa, Pamela Soberanis-Pina, Monika Blake-Cerda, Ana Pamela Gómez-García, Federico Maldonado-Magos, Emilio Conde-Flores, Andrés F. Cardona, Sandra Ileana Pérez Álvarez, Luis Antonio Cabrera-Miranda

“…The median time from radiotherapy to fracture onset was 19 months (range: 1-30 months), with a median follow-up time from the initial fracture of 39 months (range: 37-61 months). All observed fractures were compressive in nature. These patients shared common characteristics, including advanced age, a history of heavy smoking, and high radiation doses. …”
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Immediate results of the еndovascular aneurysm repair in abdominal aortic aneurysm patients with an unfavorable proximal neck by S.M. Furkalo, V.A. Kondratyuk, O.A. Vlasenko, I.V. Khasyanova, A.V. Khohlov, P.A. Gindich, I.A. Mazanovich, O.O. Pustyntsev

“…In cases where traditional surgical correction is not an acceptable option, various technological methods and equipment are used. The observation included 16 consecutive patients with abdominal aortic aneurysm, where EVAR was performed. …”
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Association between the use of daily injury risk estimation feedback (I-REF) based on machine learning techniques and injuries in athletics (track and field): results of a prospect... by Karsten Hollander, David Blanco, Pascal Edouard, Laurent Navarro, Antoine Bruneau, Alexis Ruffault, Joris Chapon, Pierre-Eddy Dandrieux, Christophe Ley, Spyridon (Spyros) Iatropoulos

“…However, when considering athletes’ daily response rate in secondary analysis, for a response rate of at least 9%, we observed a significant association between the self-reported level of I-REF use and the injury burden (n=76, eβ: 0.981, 95% CI: 0.965 to 0.998; p=0.027).Conclusions Daily injury risk estimation feedback using machine learning was not associated with reducing injury burden.…”
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