Back pain in young people: algorithm of management in practice of primary physician by N. A. Shostak, N. G. Pravdyuk, A. V. Novikova

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Analgesic treatment, by using a systemic algorithm by A. E. Karateev, L. I. Alekseeva

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TREATMENT FOR ACUTE/SUBACUTE MUSCULOSKELETAL PAIN, BY USING AN ALGORITHM FOR STEPWISE CHOICE OF ANALGESIC DRUGS AND FOR MONITORING THEIR EFFICACY: PRELIMINARY DATA OF THE ANALGESIC... by N. V. Gontarenko, A. V. Tsurgan, A. E. Karateev

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Long-term use of nonsteroidal anti-inflammatory drugs for pain control in patients with osteoarthritis: results of the 12-month observational study AELITA (Analgesia: Effective Tre... by A. E. Karateev, E. Yu. Polishchuk, E. S. Filatova, A. S. Potapova, V. A. Nesterenko, V. N. Amirdzhanova

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GENERAL PRINCIPLES OF TREATMENT FOR MUSCULOSKELETAL PAIN: INTERDISCIPLINARY CONSENSUS by E. L. Nasonov, N. N. Yakhno, A. E. Karateev, L. I. Alekseeva, A. N. Barinov, A. E. Barulin, O. S. Davydov, A. B. Danilov, M. V. Zhuravleva, B. V. Zavodovsky, S. S. Kopenkin, M. L. Kukishkin, V. A. Parfenov, M. A. Strakhov, V. P. Tyurin, N. V. Chichasova, S. A. Chorbinskaya

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Diagnosis and rational treatment of painful diabetic peripheral neuropathy: an interdisciplinary expert consensus by Gagik R. Galstyan, Elena G. Starostina, Nikolay N. Yakhno, Irina V. Gurieva, Maxim V. Churyukanov, Igor A. Strokov, Alla Y. Tokmakova, Mikhail L. Kukushkin, Anatoly I. Martynov, Marina V. Shestakova

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Back pain: from pathophysiological mechanisms and clinical features to modern approaches to therapy by N. V. Titova, Yu. N. Bezdolny, A. A. Slipko

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Identifying the Effective Factors on Neuropathic Diseases in Patients with Chronic pain Using Deep Neural Networks by Mobin Shaterian, Mohammad Teshnehlab

“…The main purpose of this research is finding major characteristics of clinical signs in the diagnosis of neuropathic disease in patients with chronic long-term pain. …”
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Prediction of knee joint pain in Tai Chi practitioners: a cross-sectional machine learning approach by Yang Chen, Xiaojie Su, Fei Yao, Yushan Liu, Hua Xing, Yubin Ju, Zhiran Kang, Wuquan Sun, Lijun Yao, Li Gong

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THE MODERN APPROACH TO THE EDUCATIONAL PROCESS FOR DIAGNOSIS IN DENTISTRY by I.A. Ozhogan

“… In this work there are features of delivering the therapeutic dentistry students in dental faculties on the application of diagnostic algorithms to make a diagnosis. One of the main feature of education dentists is to diagnose a patient, ability to use the objective methods of examination and chose the additional and laboratory methods. …”
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Eosinophilic Fasciitis: A Review of Research and Therapeutic Possibilities by Julia Biernikiewicz, Anna Wilewska, Bartosz Pomirski, Agata Pomirska, Milena Biernikiewicz, Konstanty Alabrudziński, Agnieszka Borowiec, Kinga Borowiec, Paulina Kwaśniewska, Patryk Graczyk

“…Diagnosis often involves biopsies, lab analyses, and imaging techniques. Current treatment mainly consists of corticosteroids, but further research is needed to assess various therapeutic strategies. …”
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Predicting chronic pain using wearable devices: a scoping review of sensor capabilities, data security, and standards compliance by Johannes C. Ayena, Johannes C. Ayena, Amina Bouayed, Amina Bouayed, Myriam Ben Arous, Myriam Ben Arous, Youssef Ouakrim, Youssef Ouakrim, Karim Loulou, Karim Loulou, Darine Ameyed, Isabelle Savard, Leila El Kamel, Neila Mezghani, Neila Mezghani

“…Current studies focus mainly on correlations between data and pain levels, but rarely use this information for accurate prediction.ObjectiveThis study aims to review recent advancements in wearable technology for CP management, emphasizing the integration of multimodal data, sensor quality, compliance with data security standards, and the effectiveness of predictive models in identifying CP episodes.MethodsA systematic search across six major databases identified studies evaluating wearable devices designed to collect pain-related parameters and predict CP. …”
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Supporting self-management with an internet intervention for low back pain in primary care: a RCT (SupportBack 2) by Adam W A Geraghty, Taeko Becque, Lisa C Roberts, Jonathan Hill, Nadine E Foster, Lucy Yardley, Beth Stuart, David A Turner, Gareth Griffiths, Frances Webley, Lorraine Durcan, Alannah Morgan, Stephanie Hughes, Sarah Bathers, Stephanie Butler-Walley, Simon Wathall, Gemma Mansell, Malcolm White, Firoza Davies, Paul Little

“…As per our main focus, they answered questions about their back-pain-related disability at 4 time points, over 12 months. …”
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Comparative Characteristics of the Results of Evacuation to Healthcare Facilities and Treatment Outcomes of Children Who Applied for First Aid With Acute Abdominal Pains. The Case... by Ekaterina А. Romanova, Leyla S. Namazova-Baranova, Elena Yu. Dyakonova, Aleksey Yu. Romanov, Kazbek S. Mezhidov, Zharadat I. Dohshukaeva

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Mesenteric panniculitis in rheumatologist practice by O. N. Egorova, A. V. Datsina

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Prevention and management of degenerative lumbar spine disorders through artificial intelligence-based decision support systems: a systematic review by Paolo Giaccone, Federico D’Antoni, Fabrizio Russo, Luca Ambrosio, Giuseppe Francesco Papalia, Onorato d’Angelis, Gianluca Vadalà, Albert Comelli, Luca Vollero, Mario Merone, Rocco Papalia, Vincenzo Denaro

“…Abstract Background Low back pain is the leading cause of disability worldwide with a significant socioeconomic burden; artificial intelligence (AI) has proved to have a great potential in supporting clinical decisions at each stage of the healthcare process. …”
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Perioperative management of patients with rheumatic disorders: problems and solutions by A. A. Klimenko, A. A. Kondrashov

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Differential diagnosis in joint and spine damages by N. V. Chichasova

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Treatment in patients with osteoarthritis at different sites: Place of slow-acting drugs by N. V. Chichasova, G. R. Imametdinоva

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Differential Diagnostic Indicators for the Appointment of Non-Steroidal Anti-Inflammatory Therapy in the Treatment of Red Eye Syndrome at the Stage of Primary Outpatient Admission.... by V. N. Trubilin, E. G. Poluninа, A. A. Kozhukhov, V. V. Kurenkov, N. V. Moreva, A. V. Trubilin, K. V. Chinenova

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