Genetic Mutations in Acute Myeloid Leukemia by OV Blau

“…Current AML prognostic classifications include only some mutations with known prognostic value, namely NPM1, FLT3 and C/EBPa. …”
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Magnifying Endoscopic Findings Can Predict Clinical Outcome during Long-Term Follow-Up of More Than 12 Months in Patients with Ulcerative Colitis by Hajime Isomoto, Ryohei Uehara, Tomayoshi Hayashi, Junya Shiota, Kayoko Matsushima, Chun Chuan Chen, Fuminao Takeshima, Toshiyuki Nakayama, Kazuhiko Nakao

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Defining chronic pain impact levels: a patient-clinician approach using PROMIS® pain interference scores by Karon F. Cook, Dokyoung Sophia You, Michael Von Korff, Sean C. Mackey

“…The comparison of classifications in the secondary sample revealed differences, especially for the 3rd level, high impact. …”
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Justification of the Importance of the Implementation of Digital Innovation Projects in the Food Service by Yu. V. Vylgina, M. Yu. Semakov

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Facilitating Solid Waste Handling System in Port Harcourt Cosmopolis by Awoala Joybel Emine, Nwosu Harold Ugochukwu, Nwika Choice Adiamologi

“…Specimens were sorted into fourteen waste classifications of paper; 6.22%, pasteboard; 2%, plastic film; 9.05%, dense plastic; 2.73%, glass; 2.3%, iron-based metal; 3.03%, non-iron based metal; 1.13%, putrescibles; 56.3%, textiles; 1.85%, misc-ignitable; 2.83%, non-misc ignitable; 3.35%, E-waste; 2.33%, household waste; 4.88% and fine elements; 2.03%. …”
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Efficacy of autologous cell therapy on limb salvage in patients with chronic limb-threatening ischemia: 16-year single-center experience by Dominika Sojakova, Michal Kahle, Jitka Husakova, Vladimira Fejfarova, Karol Sutoris, Radka Jarosikova, Edward B. Jude, Michal Dubsky

“…Shorter AFS was associated with a higher GLASS FP score (HR 1.28, CI 1.13–1.46), dialysis (HR 2.05, CI 1.33 − 3.16 ), hypoalbuminemia (HR 0.93, CI 0.89–0.98), signs of clinical infection (HR 1.99, CI 1.26–3.15) in the univariable model, and immunosuppression (HR 2.31, CI 1.09–4.95) in the multivariable model. …”
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The relationship between clinical subtypes, prognosis, and treatment in ICU patients with acute cholangitis using unsupervised machine learning methods by Yuanhui Sheng, Shan Xu, Shu Zhang, Dan Zhang

“…Abstract Background Acute cholangitis (AC) presents with significant clinical heterogeneity, and existing severity classifications have limited prognostic value in critically ill patients. …”
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Preoperative nutrition intervention program increases cleft surgery eligibility in the low- and middle-income country setting by Devon O’Brien, Meenakshi Mitra, Mallika Jadly, Allyn Auslander, Abhishek Sengupta

“…Initial IAP malnutrition classifications were 36.9% (n = 87) mild, 42.8% (n = 101) moderate, and 20.3% (n = 48) severe malnutrition. …”
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Prognostic Impact of the Postoperative Carcinoembryonic Antigen Level after Curative Resection of Locally Advanced Rectal Cancer by Ryoichi Tsukamoto, Kiichi Sugimoto, Yuki Ii, Takahiro Irie, Megumi Kawaguchi, Aya Kobari, Yuki Tsuchiya, Kumpei Honjo, Masaya Kawai, Shun Ishiyama, Makoto Takahashi, Kazuhiro Sakamoto

“…Results: The subjects were 323 patients who underwent curative surgical treatment for Stage II/III rectal cancer. AIC values indicated that RFS was better stratified by a post-CEA level with a cut-off of 2.3 ng/ml compared with other classifications of pre- or post- CEA. …”
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Single-session Preoperative Embolization and Surgical Resection of Vascular Anomalies: A Case Series by Aravind Rajagopalan, MSc, Nikhil Shah, BS, Narainsai K. Reddy, MS, Sofia Aronson, MD, Akira Yamada, MD, PhD, Shankar Rajeswaran, MD

“…Vascular anomalies encompass 2 broad classifications including vascular tumors and vascular malformations. …”
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Dementia ascertainment in India and development of nation‐specific cutoffs: A machine learning and diagnostic analysis by Danny Maupin, Hongxin Gao, Emma Nichols, Alden Gross, Erik Meijer, Haomiao Jin

“…Optimal cutoffs of 3.8 and 25 were identified and performed excellently in the overall sample, though did decrease in specific, more difficult‐to‐diagnose subgroups. …”
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Limit Circle/Limit Point Criteria for Second-Order Superlinear Differential Equations with a Damping Term by Lihong Xing, Wei Song, Zhengqiang Zhang, Qiyi Xu

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Waves of Safety - Evaluating Overpressure Risks from Gases in Ductile Equipment by Dariusz Jablonski, Patrycja Zacharzewska, Michael Kirby, Hans-Jürgen Gross

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Red Flags in Acute Myocarditis by Shahrukh Hashmani, Yosef Manla, Nadya Al Matrooshi, Feras Bader

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Incidence of impacted third molars: A radiographic study in People's Hospital, Bhopal, India by Ajay Kumar Pillai, Shaji Thomas, George Paul, Santosh Kumar Singh, Swapnil Moghe

“…Objectives: The aim of this study is to evaluate the position of impacted third molars based on the classifications of Pell & Gregory and Winter in a sample of Bhopal patients. …”
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Assessing The Impact of Wastewater Outfalls Pollution Points on The WQI of Qilyasan Stream in Sulaymaniyah, Kurdistan Region, Iraq, Using FL Modelling. by Helin Qais Hussein, Zeren Jamal Ghafoor

“…These membership-grade classifications can be a useful tool for decision-making, helping to designate a progressive quality sub-objective to each stream segment. …”
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Evaluation of the medical assistance to asthmatic patients. by Margarita Roméu Escobar, Milagros Mesa Abreu, Caridad Hernández Gutiérrez, Estrella Armenteros Espinosa

“…<strong>Objective:</strong> to evaluate the medical attention to the asthmatic patient in the Area III polyclinic of Cienfuegos. <strong>Methods:</strong> Transversal and descriptive study that included 150 patients randomly selected from the dispensary records of the Area III Educational Polyclinic of Cienfuegos, in December 2001. …”
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Water quality assessment and pollution of Akarçay River, Türkiye by Enes Gençer, Can Başaran

“…The river water is of the Ca–Mg–HCO3, Na–Cl and Na–HCO3 types. It has been determined that the river water is unsuitable for irrigation and drinking water due to its high EC, Na+, Cl−, SO42−, As, B, F−, Fe, and Mn content. …”
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Nutritional assessment using subjective global assessment identifies energy malnutrition and predicts mortality in patients with liver cirrhosis by Takao Miwa, Tatsunori Hanai, Kayoko Nishimura, Sachiyo Hirata, Shinji Unome, Yuki Nakahata, Kenji Imai, Atsushi Suetsugu, Koji Takai, Masahito Shimizu

“…The distribution of SGA classifications was 54% for SGA-A, 32% for SGA-B, and 14% for SGA-C. …”
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PERSPECTIVE WAYS THE USE OF BY-PRODUCTS by Viktoriya V. Nasonova

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