Bibliographic record
Abstract
PURPOSE OF REVIEW: Although head and neck masses represent a common entity in children, malignancy is uncommon. The otolaryngologist may be the first physician to see these children, and early recognition of malignancy is of obvious importance. This review aims to discuss the cause, diagnosis, investigation, treatment options, and prognosis for the most common head and neck malignancies of childhood. RECENT FINDINGS: Over recent years, significant developments have been made in characterizing the epidemiologic, phenotypic, and genotypic variability of childhood head and neck cancers. Improved awareness of tumor biology is reflected by more sophisticated diagnostics, estimates of prognosis, and an increasing individualization of treatment regimens. SUMMARY: The latest evidence for the diagnosis and management of childhood head and neck malignancy is summarized. The rarity of these tumors inevitably results in a paucity of high-level evidence to guide treatment. A combination of translational research from tumor biology studies, multicenter clinical trials, and smaller case series and case reports will continue to guide new advances in diagnosis and treatment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".