Whole-Body Photobiomodulation Therapy for Chronic Pain: A Feasibility Trial
Fitzmaurice, B. C.; Heneghan, N. R.; Rayen, A. T.; Grenfell, R. L.; Soundy, A. A.
Show abstract
Effective treatment for fibromyalgia (FM) is lacking and further treatment options are needed. Photobiomodulation therapy (PBMT) represents one potential treatment option. Whilst favourable findings have been reported using localised PBMT, no investigations have established the value of whole-body PBMT for the complete set of symptom domains in FM. A single-arm feasibility study was conducted in accordance to CONSORT guidelines. A non- probability sampling method was used to access individuals with FM. The primary outcome measure was identified as the Revised Fibromyalgia Impact Questionnaire (FIQR). Forty-nine participants were screened and 21 trial participants entered the trial. Nineteen participants completed the intervention (18 whole-body PBMT sessions over approximately six weeks). Descriptive statistics and qualitative analysis was undertaken to represent feasibility outcomes. Acceptability of the trial device and processes were established. Outcome measures towards efficacy data were guided by core and peripheral OMERACT domains, utilising a combination of participant-reported and performance-based outcome measures. Positive changes were observed for FM-specific quality of life, pain, tenderness, stiffness, fatigue, sleep disturbance, anxiety, depression and cognitive impairment. Patient global assessment revealed improvements at 6 weeks, with continued effect at 24 weeks. FM- specific quality of life at 24 weeks remained improved compared with baseline scores. Data for the embedded qualitative component of the trial were captured by participant-reported experience measures and audio-recorded semi-structured interviews. Findings provide evidence to support a full-scale trial and shows promise regarding potential efficacy of this novel non-invasive treatment in an FM population.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Can a specific biobehavioral based therapeutic education program lead to changes in pain perception and brain plasticity biomarkers in chronic pain patients? A study protocol for a randomized clinical trial 97%
- Acceptability of a nurse-led non-pharmacological complex intervention for knee pain: Nurse and patient views and experiences 95%
- Pre- and post-operative psychological interventions to prevent pain and fatigue after breast cancer surgery (PREVENT): a randomized controlled trial 94%
Similar papers in this journal
- Predicting pain and function outcomes in people consulting with shoulder pain: The PANDA-S clinical cohort and qualitative study protocol (ISRCTN 46948079) 95%
- Clinical And Cost-Effectiveness Of A Personalised Guided Consultation Versus Usual Physiotherapy Care In People Presenting With Shoulder Pain: A Protocol For The Panda-S Cluster Randomised Controlled Trial And Process Evaluation 95%
- A text messaging intervention to support patients with chronic pain during prescription opioid tapering: protocol for a double-blind randomised controlled trial 95%
Similar papers in this journal
- Management of Central Post-Stroke Pain: Systematic Review and Meta-Analysis 96%
- Sensory profiling in classical Ehlers-Danlos syndrome: a case-control study revealing pain characteristics, somatosensory changes, and impaired pain modulation 94%
- Real Bodies Not Required? Placebo Analgesia and Pain Perception in Immersive Virtual and Augmented Reality 94%
Similar papers in this journal
- The Metabotropic Glutamate Receptor 5 Negative Allosteric Modulator Fenobam: Pharmacokinetics, Side Effects, and Analgesic Effects in Healthy Human Subjects. 94%
- Convergent validity of a person-dependent definition of a low back pain flare 94%
- Cortical function and sensorimotor plasticity predict future low back pain after an acute episode: the UPWaRD prospective cohort study 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.