Influence of Pain on Social Participation and life habits after stroke
Bibliographic record
Abstract
Background: One of the main symptom present in post-stroke subjects is chronic pain. Chronic pain and physical dependence can decrease the level of social participation of these population. Objective: characterize the correlation between pain and the social participation of post-stroke individuals living in the region of Trairi Potiguar. This is a cross-sectional and observational study, approved by the institution’s research ethics committee (#2.622.853). Methods: Thirty-four participants were assessed by McGill Pain Questionnaire (MPQ), LIFE-H 3.1, Functional Independence Measure (FIM), Mini-Mental State Examination (MMSE), Fugl-Meyer Scale (FMS) and Nottingham Sensory Assessment (NSA). Spearman correlation test were performed in the statistical analyse. Results: The following scores were reported in median (1ºQ/3ºQ): FIM (65: 0/116), MMSE (18: 0/23.75), FMS (21: 0/88), NSA (45,5: 0/238), LIFE-H total (338: 0/757) and MPQ (0: 0/0.75). A moderate positive correlation between the sensory domain of the MPQ (pain) with the subdomains of nutrition (rs=0.5913, p=0.0002) and mobility (rs=0.5083, p=0.0021) of LIFE -H were founded. Conclusions: There are presence of pain in this population, but no correlation was found between pain and social participation in post-stroke individuals.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".