41,948 results match your criteria methods incorporating

The Association of Hiatal Dimensions and Urethral Mobility with Stress Urinary Incontinence.

J Ultrasound Med 2021 May 14. Epub 2021 May 14.

Second Xiangya Hospital, Central South University, China.

Objectives: To investigate the association of hiatal area (HA), bladder neck mobility, and urethral mobility during the cough stress test (CST) with stress urinary incontinence (SUI).

Methods: This was a prospective study of 110 continent and 190 incontinent women using transperineal ultrasound. HA, bladder neck mobility, and the mobility of six points along the urethra (Vectors 1-6) were measured. Read More

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Deep-learning-based automated terminology mapping in OMOP-CDM.

J Am Med Inform Assoc 2021 May 13. Epub 2021 May 13.

Healthcare, Life Solution Cluster, New Business Unit, Hanwha Life, Seoul, South Korea.

Objective: Accessing medical data from multiple institutions is difficult owing to the interinstitutional diversity of vocabularies. Standardization schemes, such as the common data model, have been proposed as solutions to this problem, but such schemes require expensive human supervision. This study aims to construct a trainable system that can automate the process of semantic interinstitutional code mapping. Read More

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Hapo-G, haplotype-aware polishing of genome assemblies with accurate reads.

NAR Genom Bioinform 2021 Jun 3;3(2):lqab034. Epub 2021 May 3.

Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 91057 Evry, France.

Single-molecule sequencing technologies have recently been commercialized by Pacific Biosciences and Oxford Nanopore with the promise of sequencing long DNA fragments (kilobases to megabases order) and then, using efficient algorithms, provide high quality assemblies in terms of contiguity and completeness of repetitive regions. However, the error rate of long-read technologies is higher than that of short-read technologies. This has a direct consequence on the base quality of genome assemblies, particularly in coding regions where sequencing errors can disrupt the coding frame of genes. Read More

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Development and validation of a collagen signature-based nomogram for preoperatively predicting lymph node metastasis and prognosis in colorectal cancer.

Ann Transl Med 2021 Apr;9(8):651

Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.

Background: Current preoperative evaluation approaches cannot provide adequate information for the prediction of lymph node (LN) metastasis in colorectal cancer (CRC). Collagen alterations in the tumor microenvironment affect the progression of tumor cells. To more accurately assess the LN status of CRC preoperatively, we developed and validated a collagen signature-based nomogram for predicting LN metastasis in CRC. Read More

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KD-PACE Salvage Therapy for Aggressive Relapsed Refractory Multiple Myeloma, Plasma Cell Leukemia and Extramedullary Myeloma.

Clin Lymphoma Myeloma Leuk 2021 Apr 6. Epub 2021 Apr 6.

Department of Medicine, Division of Hematology and Oncology, Vanderbilt University Medical Center, Nashville, TN, USA.

Background: Patients with advanced/aggressive multiple myeloma have limited treatment options to achieve rapid disease control. In eligible patients, bortezomib, dexamethasone, thalidomide, cisplatin, doxorubicin, cyclophosphamide, and etoposide is often used. However, many patients are refractory to or have toxicities from bortezomib and there is a need for bridging therapy. Read More

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A model based on routine liver tests can reliably exclude intrahepatic cholestasis of pregnancy.

Eur J Intern Med 2021 May 10. Epub 2021 May 10.

Faculty of Medicine, Hadassah-Hebrew University Medical Center, Jerusalem, Israel; Department of Obstetrics and Gynecology, Hadassah-Hebrew University Medical Center, POB 12000, Jerusalem 91120, Israel. Electronic address:

Objectives: Serum bile acid (BA) levels testing is used for the diagnosis of intrahepatic cholestasis of pregnancy (ICP). We aimed to determine the performance of routine liver tests in the evaluation of ICP.

Methods: A retrospective cohort study conducted at a university hospital, including all pregnant women who underwent serum BA levels testing due to suspected ICP during 2007-2019. Read More

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A nomogram incorporating functional and tubular damage biomarkers to predict the risk of acute kidney injury for septic patients.

BMC Nephrol 2021 May 13;22(1):176. Epub 2021 May 13.

Department of Intensive Care Unit of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, 510080, Guangzhou, PR China.

Background: Combining tubular damage and functional biomarkers may improve prediction precision of acute kidney injury (AKI). Serum cystatin C (sCysC) represents functional damage of kidney, while urinary N-acetyl-β-D-glucosaminidase (uNAG) is considered as a tubular damage biomarker. So far, there is no nomogram containing this combination to predict AKI in septic cohort. Read More

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Using a simple prescription gap to determine warfarin discontinuation can lead to substantial misclassification.

Thromb Haemost 2021 May 13. Epub 2021 May 13.

Brigham & Women's Hospital/Harvard Medical School, Boston, United States.

Background: Warfarin remains widely used and a key comparator in studies of other direct oral anticoagulants. As longer-than-needed warfarin prescriptions are often provided to allow for dosing adjustments according to International Normalized Ratios (INRs), the common practice of using a short allowable gap between dispensings to define warfarin discontinuation may lead to substantial misclassification of warfarin exposure. We aimed to quantify such misclassification and determine the optimal algorithm to define warfarin discontinuation. Read More

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Combination of deep speaker embeddings for diarisation.

Neural Netw 2021 Apr 21;141:372-384. Epub 2021 Apr 21.

Cambridge University Engineering Department, Trumpington Street, Cambridge, CB2 1PZ, UK. Electronic address:

Significant progress has recently been made in speaker diarisation after the introduction of d-vectors as speaker embeddings extracted from neural network (NN) speaker classifiers for clustering speech segments. To extract better-performing and more robust speaker embeddings, this paper proposes a c-vector method by combining multiple sets of complementary d-vectors derived from systems with different NN components. Three structures are used to implement the c-vectors, namely 2D self-attentive, gated additive, and bilinear pooling structures, relying on attention mechanisms, a gating mechanism, and a low-rank bilinear pooling mechanism respectively. Read More

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Interprofessional education in the rural environment to enhance multidisciplinary care in future practice: Breaking down silos in tertiary health education.

Aust J Rural Health 2021 Apr;29(2):127-136

Bathurst Rural Clinical School, School of Medicine, Western Sydney University, Bathurst, NSW, Australia.

Objective: Western Sydney University has implemented a rural interprofessional learning programme to promote collaborative care approaches to enhance cross-discipline communications, improve knowledge and clarity of roles and improve patient care and outcomes.

Design: Rural interprofessinal learning is an interprofessional educational approach, consisting of simulations of complex health events. Simulation methodology frames the study with a focus on human interaction. Read More

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Incorporating a Usual Care Comparator into a Study of Meditation and Music Listening for Older Adults with Subjective Cognitive Decline: A Randomized Feasibility Trial.

J Alzheimers Dis Rep 2021 Mar 11;5(1):187-206. Epub 2021 Mar 11.

Department of Communication Sciences and Disorders, West Virginia University HSC, Morgantown, WV, USA.

Background: Recent studies suggest meditation and music listening (ML) may improve cognitive and psychosocial outcomes in adults with subjective cognitive decline (SCD). However, lack of a usual care group has limited conclusions.

Objective: To assess the: 1) feasibility of incorporating an enhanced usual care (EUC) comparator in a trial of Kirtan Kriya meditation (KK) and ML for adults experiencing SCD; and 2) preliminary effects of active treatment (KK/ML) versus an EUC program. Read More

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Humans in the Loop: Incorporating Expert and Crowd-Sourced Knowledge for Predictions Using Survey Data.

Socius 2019 Jan-Dec;5. Epub 2019 Sep 10.

University of Iowa, Iowa City, IA, USA.

Survey data sets are often wider than they are long. This high ratio of variables to observations raises concerns about overfitting during prediction, making informed variable selection important. Recent applications in computer science have sought to incorporate human knowledge into machine-learning methods to address these problems. Read More

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September 2019

Preoperative Nomogram for Predicting Sentinel Lymph Node Metastasis Risk in Breast Cancer: A Potential Application on Omitting Sentinel Lymph Node Biopsy.

Front Oncol 2021 26;11:665240. Epub 2021 Apr 26.

Department of General Surgery, The Second Affiliated Hospital of Air Force Medical University, Xi'an, China.

Background: Sentinel lymph node (SLN) biopsy is feasible for breast cancer (BC) patients with clinically negative axillary lymph nodes; however, complications develop in some patients after surgery, although SLN metastasis is rarely found. Previous predictive models contained parameters that relied on postoperative data, thus limiting their application in the preoperative setting. Therefore, it is necessary to find a new model for preoperative risk prediction for SLN metastasis to help clinicians facilitate individualized clinical decisions. Read More

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Use of simulation in teaching haematological aspects to undergraduate medical students improves student's knowledge related to the taught theoretical underpinnings.

BMC Med Educ 2021 May 12;21(1):271. Epub 2021 May 12.

College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.

Background: Simulation is an educational method which has several modalities and applications. In the last few decades Simulation-Based Medical Education (SBME) has become a significant influence in medical education. Despite the recognized potential of simulation to be used widely in support of healthcare education, there are no studies focused on the role of simulation in teaching haematology. Read More

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Medical students' experience with accessing medical records in Saudi Arabia: a descriptive study.

BMC Med Educ 2021 May 12;21(1):272. Epub 2021 May 12.

Medical Informatics and E-learning Unit, Medical Education Department, College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia.

Background: Medical students can enhance their knowledge by accessing patients' medical records and documenting patient care. This study assessed medical students' access to paper medical records and electronic health records (EHRs) in Saudi Arabia and compared students' experience of accessing paper medical records and EHR from their perspective.

Methods: This cross-sectional study enrolled second-year to intern medical students randomly from different medical colleges in Saudi Arabia. Read More

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Association of Cognitive Function Screening Results with Adherence and Performance in a Pedometer-Based Intervention.

Am J Nephrol 2021 May 12:1-9. Epub 2021 May 12.

Division of Nephrology, Hennepin County Medical Center, Minneapolis, Minnesota, USA.

Introduction: A randomized, controlled trial of a pedometer-based walking intervention with weekly activity goals led to increased walking among dialysis patients. We examined whether impairment per cognitive function screening is associated with adherence and performance in the intervention.

Methods: Thirty dialysis patients were randomly assigned to a 3-month pedometer-based intervention with weekly goals. Read More

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Acute knee clinics are effective in reducing delay to diagnosis following anterior cruciate ligament injury.

Knee 2021 May 9;30:267-274. Epub 2021 May 9.

Bradford Teaching Hospitals NHS Foundation Trust, Accident and Emergency Department MSK Service, Bradford Royal Infirmary, Bradford BD9 6DA, UK.

Background: Delays to diagnosis of anterior cruciate ligament (ACL) injury and specialist consultation continue to place patients at risk of early onset osteoarthritis. Incorporating acute knee clinics within a streamlined accident and emergency (A&E) pathway have shown potential in reducing delay but specific evaluative research is lacking. The aim of this service evaluation was to investigate the effectiveness of an acute knee clinic at one NHS Trust in the United Kingdom (UK), on reducing the delay to diagnosis of ACL injury and specialist consultation compared to a standard A&E pathway. Read More

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Training and usage of detection dogs to better understand bumble bee nesting habitat: Challenges and opportunities.

PLoS One 2021 12;16(5):e0249248. Epub 2021 May 12.

Faculty of Environmental and Urban Change, York University, Toronto, Ontario, Canada.

Bumble bees are among the most imperiled pollinators. However, habitat use, especially nest site selection, remains relatively unknown. Methods to locate nests are invaluable to better understand habitat requirements and monitor wild populations. Read More

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Actual postoperative protein and calorie intake in patients undergoing major open abdominal cancer surgery: A prospective, observational cohort study.

Nutr Clin Pract 2021 May 12. Epub 2021 May 12.

Department of Surgery, University Medical Center Groningen, Groningen, the Netherlands.

Background: Adequate nutritional protein and energy intake are required for optimal postoperative recovery. There are limited studies reporting the actual postoperative protein and energy intake within the first week after major abdominal cancer surgery. The main objective of this study was to quantify the protein and energy intake after major abdominal cancer surgery. Read More

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Integrating multiparametric MRI radiomics features and the Vesical Imaging-Reporting and Data System (VI-RADS) for bladder cancer grading.

Abdom Radiol (NY) 2021 May 12. Epub 2021 May 12.

Department of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Yan Chang Zhong Road 301, Shanghai, 200072, China.

Purpose: Pathological grade is important for the treatment selection and outcome prediction in bladder cancer (BCa). We aimed to construct a radiomics-clinical nomogram to preoperatively differentiate high-grade BCa from low-grade BCa.

Methods: A total of 185 BCa patients who received multiparametric MRI (mpMRI) before surgery between August 2014 and April 2020 were enrolled in our study. Read More

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A New Era of Moisturizers.

J Cosmet Dermatol 2021 May 12. Epub 2021 May 12.

Northwestern University Feinberg School of Medicine, Medical Dermatology Associates of Chicago, 363 W. Erie Street, Suite 150, Chicago, IL, 60654, USA.

Background: Moisturizers traditionally function to replenish both the intercellular lipid lamella and natural moisturizing factors, and form a hydrolipid film on the skin surface to decrease transepidermal water loss and improve hydration. As we continue to identify epidermal lipid imbalance in patients with atopic dermatitis, we turn to the use of bioactive ingredients in moisturizers for improving barrier repair and function.

Methods: This review aims to explore the modern use of moisturizers in targeting various components of the skin barrier, dampening immune response, and restoring microbial balance. Read More

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Spectral fitting strategy to overcome the overlap between 2-hydroxyglutarate and lipid resonances at 2.25 ppm.

Magn Reson Med 2021 May 12. Epub 2021 May 12.

Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Purpose: H MRS provides a noninvasive tool for identifying mutations in isocitrate dehydrogenase (IDH). Quantification of the prominent 2-hydroxyglutarate (2HG) resonance at 2.25 ppm is often confounded by the lipid resonance at the same frequency in tumors with elevated lipids. Read More

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Mutated GM-CSF-based CAR-T cells targeting CD116/CD131 complexes exhibit enhanced anti-tumor effects against acute myeloid leukaemia.

Clin Transl Immunology 2021 6;10(5):e1282. Epub 2021 May 6.

Department of Pediatrics Shinshu University School of Medicine Matsumoto Japan.

Objectives: As the prognosis of relapsed/refractory (R/R) acute myeloid leukaemia (AML) remains poor, novel treatment strategies are urgently needed. Clinical trials have shown that chimeric antigen receptor (CAR)-T cells for AML are more challenging than those targeting CD19 in B-cell malignancies. We recently developed -modified ligand-based CAR-T cells that target CD116/CD131 complexes, also known as the GM-CSF receptor (GMR), for the treatment of juvenile myelomonocytic leukaemia. Read More

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A Novel TNM Classification for Colorectal Cancers based on the Metro-ticket Paradigm.

J Cancer 2021 5;12(11):3299-3306. Epub 2021 Apr 5.

Department of Gastrointestinal Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China.

Several revisions of the TNM classifications for colorectal cancer (CRC) have acknowledged that the oncological outcomes of stage IIB/IIC CRC are worse than those of stage IIIA. We aimed to develop a novel TNM (nTNM) classification based on the metro-ticket paradigm. We identified eligible CRC patients from the Surveillance, Epidemiology, and End Results database. Read More

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Students' knowledge and views on pharmacogenomic education in the medical curriculum.

Indian J Pharmacol 2021 Jan-Feb;53(1):19-24

Department of Pharmacology, Pt. J N M Medical College, Raipur, Chhattisgarh, India.

Introduction: Pharmacogenomics is a growing field of science that explores the genetic contributions in an individual's response to the drug, so as to choose the right drug in the right doses tailored to a patient's genetic makeup. Although pharmacogenomics information is incorporated in chapters discussing relevant drugs, it has not been materialized into clinical practice yet and still, it remains a challenge due to limited knowledge and accessibility of the pharmacogenomic tests to diagnose these polymorphisms. With this background, the objective of the study was to assess the knowledge and perception of pharmacogenomics among second-year MBBS students and to sensitize them regarding pharmacogenomics. Read More

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Virtual patients reflecting the clinical reality of primary care - a useful tool to improve cultural competence.

BMC Med Educ 2021 May 11;21(1):270. Epub 2021 May 11.

Cultural Medicine, Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Stockholm, Sweden.

Background: Virtual patients are educational tools that may be described as case-based interactive computer simulations of clinical scenarios. In terms of learning outcomes, improved clinical reasoning skills and knowledge acquisition have been shown. For further exploring the role of virtual patients in medical education, a greater focus on context-specific cases, combined with suitable educational activities, has been suggested. Read More

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Computed tomography-based delta-radiomics analysis for discriminating radiation pneumonitis in patients with esophageal cancer after radiation therapy.

Int J Radiat Oncol Biol Phys 2021 May 8. Epub 2021 May 8.

Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China. Electronic address:

Purpose: To construct a computed tomography (CT)-based delta-radiomics nomogram and corresponding risk classification system for individualized and accurate estimation of severe acute radiation pneumonitis (SARP) in patients with esophageal cancer (EC) after radiation therapy (RT).

Methods And Materials: 400 EC patients were enrolled from two independent institutions, and were divided into the training (n = 200) and validation cohorts (n = 200). 850 radiomics features of lung were extracted from treatment planning images, including the positioning CT before RT (CT) and the resetting CT after receiving 40-45Gy (CT). Read More

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Article-level classification of scientific publications: A comparison of deep learning, direct citation and bibliographic coupling.

PLoS One 2021 11;16(5):e0251493. Epub 2021 May 11.

Science-Metrix Inc., Montréal, Québec, Canada.

Classification schemes for scientific activity and publications underpin a large swath of research evaluation practices at the organizational, governmental, and national levels. Several research classifications are currently in use, and they require continuous work as new classification techniques becomes available and as new research topics emerge. Convolutional neural networks, a subset of "deep learning" approaches, have recently offered novel and highly performant methods for classifying voluminous corpora of text. Read More

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Incorporating Medical Students into Primary Care Telehealth Visits: A Tutorial.

JMIR Med Educ 2021 Apr 17. Epub 2021 Apr 17.

Johns Hopkins University School of Medicine, 1600 McElderry, Baltimore, US.

Background: The COVID-19 pandemic has brought about sweeping change in healthcare delivery, shifting from in-person consultation to a virtual format. Few medical schools provide virtual medicine or telemedicine training to their learners, though this is likely to be important for future medical practice.

Objective: This report communicates a framework to incorporate medical students into primary care telemedicine clinics. Read More

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Ensemble manifold regularized multi-modal graph convolutional network for cognitive ability prediction.

IEEE Trans Biomed Eng 2021 May 11;PP. Epub 2021 May 11.

Objective: Multi-modal functional magnetic resonance imaging (fMRI) can be used to make predictions about individual behavioral and cognitive traits based on brain connectivity networks.

Methods: To take advantage of complementary information from multi-modal fMRI, we propose an interpretable multi-modal graph convolutional network (MGCN) model, incorporating both fMRI time series and functional connectivity (FC) between each pair of brain regions. Specifically, our model learns a graph embedding from individual brain networks derived from multi-modal data. Read More

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