[HTML][HTML] Patient phenotyping in clinical trials of chronic pain treatments: IMMPACT recommendations
There is tremendous interpatient variability in the response to analgesic therapy (even for
efficacious treatments), which can be the source of great frustration in clinical practice. This …
efficacious treatments), which can be the source of great frustration in clinical practice. This …
[HTML][HTML] Effects of the COVID-19 pandemic on chronic pain in Spain: a scoping review
MT Carrillo-de-la-Peña, A González-Villar… - PAIN reports, 2021 - journals.lww.com
Effects of the COVID-19 pandemic on chronic pain in Spain: a... : PAIN Reports Effects of the
COVID-19 pandemic on chronic pain in Spain: a scoping review : PAIN Reports International …
COVID-19 pandemic on chronic pain in Spain: a scoping review : PAIN Reports International …
Text mining of the electronic health record: an information extraction approach for automated identification and subphenotyping of HFpEF patients for clinical trials
Precision medicine requires clinical trials that are able to efficiently enroll subtypes of
patients in whom targeted therapies can be tested. To reduce the large amount of time spent …
patients in whom targeted therapies can be tested. To reduce the large amount of time spent …
Effectiveness of manual therapy for cervical radiculopathy, a review
EJ Thoomes - Chiropractic & manual therapies, 2016 - Springer
Manual therapy is often used for patients with neck pain with or without radicular symptoms.
There is sparse evidence on the effectiveness in cervical radiculopathy. The aim of this study …
There is sparse evidence on the effectiveness in cervical radiculopathy. The aim of this study …
Prognostic factors for the improvement of pain and disability following multidisciplinary rehabilitation in patients with chronic neck pain
M Weigl, J Letzel, F Angst - BMC musculoskeletal disorders, 2021 - Springer
Background Recent clinical studies have demonstrated the effectiveness of specific,
multidisciplinary, bio-psychosocial, rehabilitation programmes for chronic neck pain …
multidisciplinary, bio-psychosocial, rehabilitation programmes for chronic neck pain …
Predicting treatment adherence and outcome to outpatient multimodal rehabilitation in chronic low back pain
E Dhondt, J Van Oosterwijck, B Cagnie… - Journal of Back and …, 2020 - content.iospress.com
BACKGROUND: There is a growing need to identify patient pre-treatment characteristics that
could predict adherence and outcome following specific interventions. OBJECTIVE: To …
could predict adherence and outcome following specific interventions. OBJECTIVE: To …
Relationships between context, process, and outcome indicators to assess quality of physiotherapy care in patients with whiplash-associated disorders: applying …
RAB Oostendorp, JWH Elvers, E van Trijffel… - Patient preference …, 2020 - Taylor & Francis
Background Quality indicators (QIs) are measurable elements of practice performance and
may relate to context, process, outcome and structure. A valid set of QIs have been …
may relate to context, process, outcome and structure. A valid set of QIs have been …
Controversial outcomes in neck rehabilitation between surgically and conservatively treated patients—results of an observational study
The present study aimed to compare changes during inpatient rehabilitation between
conservatively and surgically treated patients. A total of n= 162 patients with cervical spine …
conservatively and surgically treated patients. A total of n= 162 patients with cervical spine …
Comparison of neural mobilization and conservative treatment on pain, range of motion, and disability in cervical radiculopathy: A randomized controlled trial
Objective The objective of the study was to compare the effectiveness of neural mobilization
technique with conservative treatment on pain intensity, cervical range of motion, and …
technique with conservative treatment on pain intensity, cervical range of motion, and …
A bootstrap machine learning approach to identify rare disease patients from electronic health records
Rare diseases are very difficult to identify among large number of other possible diagnoses.
Better availability of patient data and improvement in machine learning algorithms empower …
Better availability of patient data and improvement in machine learning algorithms empower …