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Record W7093370151 · doi:10.1055/s-0045-1812372

Pain prevalence, phenotypes & management of patients undergoing neurological rehabilitation

2025· article· en· W7093370151 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuephysioscience · 2025
Typearticle
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationNeurological rehabilitationPhenotypeClinical phenotypeMEDLINE

Abstract

fetched live from OpenAlex

Background Pain is a common and persistent problem in patients with neurological disorders. Despite high prevalence and negative consequences for quality of life and the rehabilitation process, studies have shown that pain frequently remains outside the clinical focus in neurological rehabilitation. Prerequisites for effective pain treatment include accurate assessment and differentiation of the underlying pain mechanism and systematic documentation. This evidence-based approach to pain management is not adequately implemented in this patient group. Objective: To evaluate pain prevalence and phenotypes, to describe interprofessional pain management and patient satisfaction in patients in a Swiss neurorehabilitation clinic. Methods Design: Cross-sectional observational study. Inpatients with diagnosed neurological disorder,>18. Patients with Montreal Cognitive Assessment (MoCA)>19 completed a supported self-report questionnaire, assessing pain prevalence, phenotypes (nociceptive, nociplastic and neuropathic) and management. Patients with MoCA<19 were assessed with the Zurich Observational Pain Assessment (ZOPA). Healthcare professionals completed a questionnaire on pain management. Primary outcome: Pain prevalence. Secondary outcomes: Prevalence of main and additional pain phenotypes, pain severity, association with neurological disorder, patient satisfaction, evaluation of interprofessional pain management and type of prescribed pain medication. Results A total of 79 inpatients were included (57 with questionnaire, 22 with ZOPA). Overall pain prevalence was 58.2% (95%-CI 47.2%–68.5%). Patients completing questionnaire had multiple pain phenotypes (38.5% all 3; 61.5% 2), nociceptive (61.5%) and nociplastic pain (30.8%) were most frequent. Mean pain intensity overall was 3.1 (95%-CI 2.2–4, on Numeric Rating Scale 0–10). 89.5% of healthcare professionals reported assessing pain, primarily severity not pain mechanisms or phenotypes. Standardized, interprofessional procedures were considered to be lacking. Interprofessional pain management was rated “very good” or “good” by 64.9% of patients. Conclusion High pain prevalence and complex mixed phenotype patterns were measured. Standardised interprofessional management including differential pain diagnosis, treatment plans and documentation require improvement. Valid practical tools for phenotype differentiation and implementation strategies for interprofessional pain management require 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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.244

Codex and Gemma teacher scores by category

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

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 head0.011
GPT teacher head0.273
Teacher spread0.262 · 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