Assessment of suffering in Tunisian adolescents with sarcoma: A descriptive study
Bibliographic record
Abstract
Introduction: Sarcomas are malignant mesenchymal tumours that develop in bone or soft tissue. The different types include osteosarcoma, Ewing sarcoma, rhabdomyosarcoma, synovial sarcoma, and chondrosarcoma. These tumours predominantly affect children and youth aged 10 to 19. Sarcoma patients often experience multidimensional suffering encompassing physical, psychological, social and spiritual aspects. The aim of this study was to explore the suffering of Tunisian adolescents with sarcoma treated at the Salah Azaiez Institute of Oncology in Tunis. Methodology: This descriptive quantitative study was conducted with 40 adolescents aged 10 to 19 years of age who were diagnosed with sarcoma and hospitalized at the Salah Azaiez Institute of Oncology. Two questionnaires were administered to participants once parental consent had been obtained: one sociodemographic questionnaire and the Adolescent Cancer Suffering Scale (ACSS), which had been translated into Arabic and validated.The ACSS comprises 41 items on a five-point Likert scale, plus one open-ended question. It evaluates six realms of suffering: physical, psychological, spiritual, social, cognitive, and global. The ACSS is used to explore adolescents' experience with their illness in a holistic manner, taking the multiple aspects of their suffering into account. Results: More than half of the study respondents (55%) expressed the need to have their family present while they were in the hospital. Sadness and occasional pain were reported by 40% of adolescents. The same proportion (40%) found being forced to miss school particularly difficult. More than one third (35%) reported concerns about their future, while one quarter (25%) said they were still trying to make sense of their illness and their health experiences. Discussion and conclusion: The cancer journey is a particularly challenging one, especially for a growing adolescent. Sarcoma patients face significant disruption in their lives, spending more time in the hospital than at school. Given the sudden emergence of symptoms associated with the disease, the existential threat it represents and the uncertainty it brings about for the future, it is important to embrace an approach that incorporates practices in line with the specific needs of adolescents in order to provide them with optimal care.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".