Clinical and epidemiological characteristics of children with germ cell tumors: A single center experience in a developing country
Bibliographic record
Abstract
İncesoy-Özdemir S, Ertem U, Şahin G, Bozkurt C, Yüksek N, Ören AC, Balkaya E, Alkan A. Clinical and epidemiological characteristics of children with germ cell tumors: A single center experience in a developing country. Turk J Pediatr 2017; 59: 410-417. Germ cell tumor (GCT) is a rare malignancy accounting for 2-3% of all pediatric tumors. The overall survival rate of children and adolescents with GCT is more than 80% after adopting combined therapy. The aim of this study is to review clinical presentation, management, and outcome in a single-center series with extracranial GCT. Clinical characteristics, pathologic presentations, and survival outcomes of 101 children with GCT, treated at our hospital from 1988 to 2011, were analyzed. Sixty-two of patients were female and 39 of them were male. Fifty-eight (57%) patients had gonadal tumor (24 testicular, 34 ovarian), 43 (43%) extragonadal. Histologically, teratomas were found most frequently (26 mature, 10 immature), followed by yolk sac tumors (n: 33), mixed malignant tumors (n: 13), embryonal carcinoma (n: 10), disgerminoma (n: 8) and seminoma (n: 1). Twenty-six patients were diagnosed as mature teratoma and we excluded them in the evaluation of staging and survival. Five-year overall and relaps-free survival were 80.3% (mean follow-up time: 215.8 months) and 73.4% (mean follow-up time: 176.2 months), respectively. Five-year survival rates were 93.2% and 90.2% in malign GCTs diagnosed after 1999.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".