Quality-of-Life Outcomes Following Thyroid Surgery in Pediatric Patients: A Systematic Review of Physical, Emotional, and Social Dimensions
Bibliographic record
Abstract
Background: Thyroid disorders are significant endocrine conditions in pediatric populations, sometimes requiring surgical intervention. While surgical outcomes are well-documented, the broader impact on quality of life (QoL) remains insufficiently synthesized. This systematic review aimed to evaluate the effects of thyroid surgery on QoL in pediatric patients, focusing on physical, emotional, and social dimensions. Methods: Following the PRISMA guidelines, we searched PubMed, EMBASE, and SCOPUS from inception to January 2025. Studies reporting health-related QoL outcomes in pediatric patients undergoing thyroid surgery were included. Quality assessment was conducted using the Newcastle–Ottawa Scale. Data synthesis focused on emotional and psychological outcomes, social functioning, physical health, and surgical-approach-specific effects. Results: Five studies (ranging from 37 to 92 participants) met the inclusion criteria. Unilateral thyroidectomy was associated with better QoL outcomes compared to bilateral procedures, particularly in emotional and physical domains. Post-surgical anxiety significantly improved. However, male survivors reported higher levels of depression and reduced motivation. Employment status emerged as a significant factor influencing physical functioning scores. Thyroid cancer patients demonstrated better social functioning than peers with other cancers, yet they lagged behind healthy controls. Long-term follow-up highlighted ongoing challenges in physical functioning and fatigue. Conclusions: Thyroid surgery impacts multiple dimensions of QoL in pediatric patients, with variations depending on surgical approach and patient characteristics. These findings underscore the need for comprehensive post-operative care, including routine QoL assessments and tailored psychological support. Future research should aim to standardize assessment timing and develop targeted interventions for high-risk groups.
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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 | 0.005 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.007 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".