Psychosoziale Aspekte thermischer Verletzungen im Kindes- und Jugendalter
Bibliographic record
Abstract
BACKGROUND: Thermal injuries are a major hazard in the early childhood. The aim of our study was to determine psychological behavioural disorders following burn and scald injuries in the childhood and to estimate their dependence on the formation of scar tissue and the social background of the children. PATIENTS: 83 patients aged 0 to 18 years who had been treated for thermal injuries in our clinic between September 2002 and December 2005 were included in the follow-up study. The standardised questionnaires CBCL/4-18 and TACQOL-PF were used to evaluate psychological behavioural disorders and quality of life. The follow-up examinations also served to gain information about the social status of the patient's parents and the current physical complaints. Scars were assessed by the Vancouver Scar Scale (VSS). RESULTS: 50 out of 83 patients took part in our follow-up examinations. 21 children suffered from physical complaints following thermal injury. Dryness of the skin as well as heat and cold intolerance were named most frequently. Internalising (p < 0.04) and externalising (p < 0.03) behavioural problems correlated significantly with the severity of scar formation defined by the VSS. Quality of life and social status were inferior to the comparison group. CONCLUSION: The incidence of thermal injuries is highest in the first three years of childhood. The risk for burn and scald injuries is augmented by a poor social status. In children who suffered such injuries we observed a higher rate of internalising and externalising behavioural problems which correlated with the extent of scar formation.
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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) | 0.002 | 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".