Evidence-based Review of Treatment and Follow up of Pediatric Patients with Differentiated Thyroid Carcinoma
Bibliographic record
Abstract
Childhood onset differentiated thyroid cancer (DTC) is distinct from the adult-onset disease being more aggressive at the time of initial evaluation with a higher risk category for disease recurrence; however, it is ultimately less lethal. International groups have outlined consensus statements detailing follow up and management guidelines for adult DTC, but since disease progression and markers are significantly different in childhood DTC compared to adults, management protocols may differ. Unfortunately, there is no consensus regarding the means of follow up, timing and management strategy regarding pediatric DTC. We performed an evidence-based review of DTC in children targeted to address the following questions: What is the most appropriate initial treatment? What is the goal of thyroid hormone replacement management? What is the approach to follow-up of childhood DTC? and, How should tumor recurrence/persistence be assessed and treated? We conducted a literature search using PubMed, Cochrane databases, guidelines from various international groups, and studies pertaining to pediatric DTC management and outcome in order to answer these questions. We suggest a pre-set algorithm and approach for the management of children with DTC according to our review.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".