future treatment
Recently Published Documents


TOTAL DOCUMENTS

688
(FIVE YEARS 123)

H-INDEX

44
(FIVE YEARS 7)

Author(s):  
Daniel S. Glass ◽  
David Grossfeld ◽  
Heather A. Renna ◽  
Priya Agarwala ◽  
Peter Spiegler ◽  
...  

Author(s):  
Yanxi Liu ◽  
Karan M. Shah ◽  
Jian Luo

Articular cartilage is an avascular tissue, with limited ability to repair and self-renew. Defects in articular cartilage can induce debilitating degenerative joint diseases such as osteoarthritis. Currently, clinical treatments have limited ability to repair, for they often result in the formation of mechanically inferior cartilage. In this review, we discuss the factors that affect cartilage homeostasis and function, and describe the emerging regenerative approaches that are informing the future treatment options.


2021 ◽  
Vol 27 ◽  
Author(s):  
Stefanie Glaubitz ◽  
Rachel Zeng ◽  
Goran Rakocevic ◽  
Jens Schmidt

: Inflammatory myopathies, in short, myositis, are heterogeneous disorders that are characterized by inflammation of skeletal muscle and weakness of arms and legs. Research over the past few years has led to a new understanding regarding the pathogenesis of myositis. The new insights include different pathways of the innate and adaptive immune response during the pathogenesis of myositis. The importance of non-inflammatory mechanisms such as cell stress and impaired autophagy has been recently described. New target-specific drugs for myositis have been developed and are currently being tested in clinical trials. In this review, we discuss the mechanisms of action of pharmacological standards in myositis and provide an outlook of future treatment approaches.


BMJ Open ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. e053937
Author(s):  
Jane Noyes ◽  
Gareth Roberts ◽  
Gail Williams ◽  
James Chess ◽  
Leah Mc Laughlin

ObjectivesTo explore how people with chronic kidney disease who are pre-dialysis, family members and healthcare professionals together navigate common shared decision-making processes and to assess how this impacts future treatment choice.DesignCoproductive qualitative study, underpinned by the Making Good Decisions in Collaboration shared decision-model. Semistructured interviews with a purposive sample from February 2019 - January 2020. Interview data were analysed using framework analysis. Coproduction of logic models/roadmaps and recommendations.SettingFive Welsh kidney services.Participants95 participants (37 patients, 19 family members and 39 professionals); 44 people supported coproduction (18 patients, 8 family members and 18 professionals).FindingsShared decision-making was too generic and clinically focused and had little impact on people getting onto home dialysis. Preferences of where, when and how to implement shared decision-making varied widely. Apathy experienced by patients, caused by lack of symptoms, denial, social circumstances and health systems issues made future treatment discussions difficult. Families had unmet and unrecognised needs, which significantly influenced patient decisions. Protocols containing treatment hierarchies and standards were understood by professionals but not translated for patients and families. Variation in dialysis treatment was discussed to match individual lifestyles. Patients and professionals were, however, defaulting to the perceived simplest option. It was easy for patients to opt for hospital-based treatments by listing important but easily modifiable factors.ConclusionsShared decision-making processes need to be individually tailored with more attention on patients who could choose a home therapy but select a different option. There are critical points in the decision-making process where changes could benefit patients. Patients need to be better educated and their preconceived ideas and misconceptions gently challenged. Healthcare professionals need to update their knowledge in order to provide the best advice and guidance. There needs to be more awareness of the costs and benefits of the various treatment options when making decisions.


Author(s):  
Reid Thompson ◽  
John Jefferies ◽  
Suya Wang ◽  
William T. Pu ◽  
Clifford Takemoto ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document