Results 111 to 120 of about 74,936 (290)

Preoperative Resilience Does Not Predict Functional Outcomes After Rotator Cuff Repair: A Systematic Review

Arthroscopy, Sports Medicine, and Rehabilitation, EarlyView.
Purpose To determine whether preoperative or concurrent resilience is related to postoperative functional outcomes after arthroscopic rotator cuff repair (aRCR). Methods A literature search was conducted from PubMed, SportDiscus, and OVID Medline databases to identify studies evaluating the effect of preoperative resilience on postoperative outcomes in
Paxton Sweeney, Nzubechukwu (Joshua) Obidike, Ryan W. Paul, Jordan T. Windsor, Francis J. Sirch, Fotios P. Tjoumakaris, Kevin B. Freedman   +6 more
wiley   +1 more source

Validation of International Classification of Diseases Code–Based Case Definitions of Immune Checkpoint Inhibitor–Associated Inflammatory Arthritis From Administrative Health Data

Arthritis &Rheumatology, EarlyView.
Objective Immune checkpoint inhibitors (ICIs) for cancer can lead to immune‐related adverse events, including ICI‐associated inflammatory arthritis (ICI‐IA). There are no validated International Classification of Diseases (ICD) code–based case definitions for ICI‐IA.
Manar Elsayed, Zoe Hsu, Finlay A. McAlister, William D. Leslie, Lisa M. Lix, Sasha Bernatsky, Suzanne N. Morin, Michelle M. Graham, Aurore Fifi‐Mah, Shahin Jamal, Janet Roberts, Carrie Ye   +11 more
wiley   +1 more source

Machine Learning to Predict Remission Between 6 and 24 Months in Rheumatoid Arthritis: Insights From JAK, an International Registry Collaboration

Arthritis &Rheumatology, EarlyView.
Objective To develop, externally validate, and simplify a machine learning model to predict remission between 6 and 24 months in patients with rheumatoid arthritis (RA) initiating tumor necrosis factor inhibitors, JAK inhibitors, interleukin‐6 inhibitors, abatacept, or rituximab using data from 11 international registries in the JAK‐pot collaboration ...
Zubeyir Salis, Denis Mongin, Denis Choquette, Louis Coupal, Catalin Codreanu, Florenzo Iannone, Roberto Caporali, Tore K. Kvien, Sella Provan, Ruth Fritsch‐Stork, Dan Nordström, Nina Trokovic, Karel Pavelka, Jakub Závada, Ana Rodrigues, Ziga Rotar, Prodromos Sidiropoulos, Irini Flouri, Céline Lamacchia, Michele Iudici, Delphine Courvoisier, Kim Lauper, Axel Finckh   +22 more
wiley   +1 more source

Improving predictive power of physically based rainfall-induced shallow landslide models: a probabilistic approach

, 2014
Distributed models to forecast the spatial and temporal occurrence of rainfall-induced shallow landslides are based on deterministic laws. These models extend spatially the static stability models adopted in geotechnical engineering, and adopt an ...
Alvioli, M., Baum, R. L., Godt, J. W., Guzzetti, F., Raia, S., Rossi, M.   +5 more
core   +2 more sources

Positive predictive value (PPV) of non-invasive prenatal testing (NIPT) for chromosomal abnormalities in pregnant women candidates for invasive methods [PDF]

Journal of Preventive Medicine, 2020
Elham Kazemi Jahromi, Ensieh Salehi, Shole Namazi, Mahsa Mohammadi Maram, Maryam Azizi Kutenaee   +4 more
openaire   +1 more source

Effective Performance of the 2022 American College of Rheumatology/EULAR Classification Criteria for Antineutrophil Cytoplasmic Antibody–Associated Vasculitis in Pediatric Patients: An ARChiVe Study

Arthritis &Rheumatology, EarlyView.
Objective To assess the 2022 American College of Rheumatology (ACR)/EULAR classification criteria for antineutrophil cytoplasmic antibody–associated vasculitis (AAV) in children with chronic small‐to‐medium vessel vasculitis. Methods A cohort of 574 patients, identified by physician's diagnosis (MD‐diagnosis) in A Registry of Childhood Vasculitis, was ...
David A. Cabral, Else S. Bosman, Nick McPhate, Simranpreet K. Mann, Kirandeep K. Toor, Kimberly A. Morishita, Raashid Luqmani, Michael W. Beresford, James Bistolarides, Sarah Campillo, Sirirat Charuvanij, Kathryn Cook, Paul Dancey, Marietta de Guzman, Samundeeswari Deepak, Barbara Eberhard, Melissa Elder, Samuel Gagne, Katie Harrison, Adam Huber, Archana Khan, Susan Kim, Marisa S. Klein‐Gitelman, Tzielan C. Lee, Suzanne C. Li, Neil Martin, Flora McErlane, L. Nandini Moorthy, Alvaro H. Orjuela, Jonathan Park, Phil Riley, Alan M. Rosenberg, Susan Shenoi, Vidya Sivaraman, Sodality Sutnga, Tamara Tanner, Stacey E. Tarvin, Marinka Twilt, Linda Wagner‐Weiner, Rae S. M. Yeung, Kelly L. Brown, for the ARChiVe Investigators Network within the PedVas Initiative   +41 more
wiley   +1 more source

Predicting risk of malignancy in patients with indeterminate thyroid nodules [PDF]

, 2018
Thyroid cancer is the most prevalent endocrine cancer (1). The prevalence of palpable thyroid nodules in the general adult population is 4% to 7% (2). Ultrasound imaging detects thyroid nodules in 19%-68% of randomly selected individuals (3). The rate of
Carnes, Nicholas
core  

Inferring rheumatoid arthritis disease activity status from the electronic health records across health systems

Arthritis &Rheumatology, Accepted Article.
Objective Disease activity plays a central role in rheumatoid arthritis (RA) clinical studies. The inconsistent availability of data on disease activity in real‐world electronic health records (EHR) data has limited the ability to generate real‐world evidence (RWE). This study aimed to develop and validate scalable machine learning (ML) models to infer
David Cheng, Xuan Wang, Gregory C. McDermott, Jennifer S. Hanberg, Zoe Love, Katherine Zhong, Mary Jeffway, Jue Hou, Vidul Panickan, Rahul Sangar, Ying Qi, Connor Melley, Lauren Costa, Dakota Feil, Rachael Matty, Dana Weisenfeld, Abisayo Animashaun, Aimee Schreiner, Sara Morini, Lauren Rusnak, Andrew Cagan, Misti Paudel, J. Michael Gaziano, Brian Sauer, Michael Weinblatt, Joshua Baker, Bryant England, Yuk‐Lam Ho, Kelly Cho, Paul Monach, Grant W. Cannon, Nancy Shadick, Ted R. Mikuls, Tianxi Cai, Katherine P. Liao   +34 more
wiley   +1 more source

AASLD practice guidance on drug, herbal, and dietary supplement–induced liver injury

, 2022
Hepatology, EarlyView.
Robert J. Fontana, Iris Liou, Adrian Reuben, Ayako Suzuki, M. Isabel Fiel, William Lee, Victor Navarro   +6 more
wiley   +1 more source

A Two-Process Model for Control of Legato Articulation Across a Wide Range of Tempos During Piano Performance [PDF]

, 1997
Prior reports indicated a non-linear increase in key overlap times (KOTs) as tempo slows for scales/arpeggios performed at internote intervals (INIs) of I00-1000 ms. Simulations illustrate that this function can be explained by a two-process model.
Bullock, Daniel, Jacobs, J. Pieter
core   +1 more source