Health-related quality of life in children and adolescents with stroke, self-report and parent/proxy report: Cross sectional investigation
Bibliographic record
Abstract
Background Aim of the present study was to assess health-related quality of life (HR-QoL) by self and proxy-parent assessment in children and adolescents who survived a first stroke episode. Methods We investigated HR-QoL in 133 pediatric stroke survivors (71 preschool children (G1) aged 4 to < 8 years and 62 school children/adolescents (G2) aged 8 to 21 years) and in 169 healthy controls aged 4 – 16 years. HR-QoL was assessed with the generic KINDL-R questionnaire exploring overall well-being and 6 sub-dimensions (physical well-being, psychological well-being, self-esteem, family-related well-being, friend-related well-being, and school-related well-being. Proxy-parent reports explored overall well-being and sub-dimensions. Results were compared within groups between cases and controls. In pediatric stroke survivors the neurological long-term outcome was measured with the standardized Pediatric Stroke Outcome Measure. Results 65% of stroke survivors exhibited at least one motor-sensor/cognitive disability. G1 and G2 stroke survivors reported lower overall well-being compared with healthy controls. In G2 stroke survivors, friend-related well-being was significantly reduced compared with healthy controls, 85.0 vs. 73.0 points, p < 0.001. Parents/proxys of both G1 and G2 stroke survivors rated the overall well-being and all sub-dimensions (except family-related and school-related well-being and in G1 stroke survivors physical functioning) lower compared with parent/proxys of healthy children/adolescents. Inpretation Our results suggest that the KINDL-R questionnaire is a useful tool in the assessment of HR-QoL in pediatric stroke survivors. Compared with healthy controls, all pediatric/adolescent stroke survivors are strongly affected regarding their overall well-being and older children/adolescents regarding their well-being with peers.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".