Quality of Life and Anxiety in Adolescents with Differentiated Thyroid Cancer
Bibliographic record
Abstract
CONTEXT: Adolescents with differentiated thyroid cancer (DTC) require lifelong monitoring with a high possibility of reoperation or radioactive iodine. Although adult DTC survivors have similar or slightly worse quality of life (QOL), this has not been evaluated in the pediatric population. OBJECTIVE: Our objective was to compare QOL and anxiety in adolescents with DTC to patients with acquired autoimmune hypothyroidism. DESIGN, SETTING, AND PATIENTS: In this cross-sectional pilot study, three validated questionnaires were administered to 16 adolescents with DTC and 16 controls for assessment of QOL and anxiety levels. These included teen and parent PedsQL, Multidimensional Anxiety Scale for Children, and Coddington Life Events Scales for Adolescents. The contribution of age, time since diagnosis, and biochemical variables were compared with the outcome measures. RESULTS: There were 16 DTC patients (seven males); 13 had papillary carcinoma, one had follicular carcinoma, and two had mixed type. At diagnosis, five DTC patients had lymph node involvement and two had lung metastases, although at time of assessment, only one DTC patient had lymph node involvement. DTC patients were older than control subjects (P=0.004) and had lower TSH levels than control subjects at time of assessment (P=0.013). QOL and anxiety levels did not differ between DTC patients compared with control subjects and with previously reported scores in a healthy cohort. QOL and anxiety level parameters were not influenced by age, time since diagnosis, or free T4 levels measured at the time of assessment. CONCLUSIONS: Adolescents with DTC have similar QOL and anxiety levels compared with autoimmune hypothyroidism patients and with a healthy normative population.
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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 | 0.000 | 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) | 0.001 | 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".