Results 171 to 180 of about 447,032 (333)

No difference in ACL revision rates between hamstring and patellar tendon autograft in patients with ACL‐R and a concurrent meniscal injury irrespective of meniscal treatment

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose The aims of this study were to compare (1) the rate of anterior cruciate ligament (ACL) revision and (2) subjective knee function using the Knee injury and Osteoarthritis Outcome Score (KOOS) between isolated ACL reconstruction (ACL‐R) and ACL‐R and concurrent meniscal injury, based on graft selection and meniscal treatment.
Johan Högberg   +6 more
wiley   +1 more source

Autologous bone grafting combined with spheroid‐based matrix‐induced autologous chondrocyte implantation for osteochondral defects of the knee: Good clinical outcomes alongside abnormal postoperative gait patterns

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose This study aimed to evaluate the clinical and functional outcomes of autologous bone grafting with spheroid‐based matrix‐induced autologous chondrocyte implantation (MABCI) for osteochondral defects of the knee by analysing pre‐ and postoperative patient‐reported outcome measures (PROMs).
Stephan Oehme   +8 more
wiley   +1 more source

Should Algorithms for Random SAT and Max-SAT be Different? [PDF]

open access: yesarXiv, 2016
We analyze to what extent the random SAT and Max-SAT problems differ in their properties. Our findings suggest that for random $k$-CNF with ratio in a certain range, Max-SAT can be solved by any SAT algorithm with subexponential slowdown, while for formulae with ratios greater than some constant, algorithms under the random walk framework require ...
arxiv  

The recovery trajectory of anterior cruciate ligament ruptures in randomised controlled trials: A systematic review and meta‐analysis of operative and nonoperative treatments

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose The purpose of this research was to understand the trajectory of recovery following anterior cruciate ligament (ACL) reconstruction compared to nonoperative treatments. Methods A systematic review and meta‐analysis approach was used to evaluate randomised controlled trials (RCTs).
Ali Ridha   +6 more
wiley   +1 more source

Patient‐reported outcome measures (PROMs) using the MASK‐air® app in severe asthma [PDF]

open access: hybrid, 2022
Bernardo Sousa‐Pinto   +6 more
openalex   +1 more source

Management of first‐time patellar dislocation: The ESSKA 2024 formal consensus—Part 2

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To provide recommendations for the treatment of patients with first‐time patellar dislocation (FTPD). Part 2 focused on nonoperative treatment, bracing, rehabilitation, indications for surgery and surgical strategies. Methods The consensus was performed according to the European Society for Sports Traumatology, Knee Surgery and ...
Peter Balcarek   +14 more
wiley   +1 more source

Using Patient-Reported Outcome Measures (PROMs) to promote quality of care and safety in the management of patients with Advanced Chronic Kidney disease (PRO-trACK project): a mixed-methods project protocol [PDF]

open access: gold, 2017
Olalekan Lee Aiyegbusi   +11 more
openalex   +1 more source

Patient-reported outcome measures to assess mental and physical health status, functionality, and quality of life in patients with major depression or schizophrenia

open access: yesJournal of Patient-Reported Outcomes
Background Patient-reported outcomes measures (PROMs) are standardized self-administered tools that assess the patient’s opinion on the level of health, quality of life, and disability among other aspects.
Luis San   +9 more
doaj   +1 more source

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization [PDF]

open access: yesarXiv
Supervised machine learning techniques have shown promising results in code analysis and optimization problems. However, a learning-based solution can be brittle because minor changes in hardware or application workloads -- such as facing a new CPU architecture or code pattern -- may jeopardize decision accuracy, ultimately undermining model robustness.
arxiv  

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