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Record W4404135638 · doi:10.57187/s.3466

Patients with refractory musculoskeletal pain syndromes undergoing a multimodal assessment and therapy programme: a cross-sectional study

2024· article· en· W4404135638 on OpenAlexaboutno aff
Tiffany Prétat, Thomas Hügle, J. Mettler, Marc R. Suter, Sandy Jean Scherb, Reine-Laure Taily, Charlotte Hans, Marielle Hoarau, Laurent Monod, Pierre Frossard, Guillaume Marillier, Nastasya Delavignette, Marc Blanchard, Antonio Le Thanh, Pedro Ming Azevedo

Bibliographic record

VenueSwiss Medical Weekly · 2024
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCross-sectional studyRefractory (planetary science)Physical therapyMusculoskeletal painPain therapyPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Chronic musculoskeletal pain syndromes, including fibromyalgia, are heterogeneous entities with a major socioeconomic burden. Multimodal treatment programmes have shown greater efficacy than conventional approaches for these patients, at least in the short term. A profound understanding of chronic musculoskeletal pain syndrome patients treated in multimodal treatment programmes is important for their development and to provide insight into these conditions. AIM: To provide a comprehensive and objective description of medical, psychosocial and sleep characteristics of the treatment-refractory chronic musculoskeletal pain syndrome patients treated at the multimodal treatment programmes provided by our tertiary service in Switzerland. METHODS: This was a cross-sectional analysis of 202 refractory chronic musculoskeletal pain syndrome patients with or without a concomitant autoimmune disorder hospitalised between 2018 and 2022 in a 12-day Swiss multimodal treatment programme. They underwent a comprehensive self-assessment with eight different questionnaires and assessments by a psychiatrist, rheumatologist, pain specialist, occupational therapist and physiotherapist. Sleep assessment was performed via actigraphy. Clinical and demographic variables were selected by consensus of three experienced rheumatologists and chronic pain specialists. The Fibromyalgia Rapid Screening Test (FiRST), American College of Rheumatology (ACR)-2010 criteria (ACR2010) and Toronto Alexithymia Scale-20 (TAS-20) were also applied. RESULTS: The mean age of the patients was 47 years (SD = 10), 73% were female, and 30% were obese. Half (50%) were not from Switzerland, and 12% came from conflict zones. Almost half (40%) lived alone. Back pain was the principal site (90%). Of the patients, 78% fulfilled the ACR2010 criteria for fibromyalgia, and 17% were diagnosed with an underlying immune-mediated disorder, mostly spondylarthritis. Pain since childhood occurred in 45% of the patients, and 68% had pain since adolescence. Disability financial aid had been pursued by 69%, and 46% were still awaiting a response. Psychiatric comorbidities were highly prevalent (73%), of which 56% consisted of depression. Of all patients, 15% were diagnosed with enduring personality changes after a catastrophic experience (EPCACE), and 10% had post-traumatic stress disorder. Alexithymia affected 34% of patients. Objective sleep disorder was observed in 78% of patients, and 41% were under opioid therapy. CONCLUSION: This analysis reveals the complex psychosomatic and socioeconomic patterns of the patients treated in Switzerland with refractory chronic musculoskeletal pain syndromes, often originating in childhood and adolescence. Obesity, immigration, social isolation, psychiatric comorbidities, sleep deprivation and opiate use, among others, stood out as target characteristics for further research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.368
Teacher spread0.342 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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