The long-term outcome of patients diagnosed with sacrococcygeal teratoma in childhood. A study of a national cohort
Bibliographic record
Abstract
BACKGROUND/PURPOSE: The improved survival of sacrococcygeal teratoma (SCT) has led to increased awareness of its long-term sequelae. Our aim was to assess the long-term outcome of a national cohort using detailed questionnaires. METHODS: The three paediatric surgery centres in Scotland were contacted to identify all SCT patients ≥5 years of age. Case notes were reviewed. Detailed separate questionnaires were used to assess long-term bowel, urinary and obstetric outcomes and were completed during an arranged interview. Groups were statistically compared using Z-tests or Fisher's exact test. RESULTS: Overall, 48 patients were identified but only 31 were available for follow-up. Age ranged from 5-35 years (median 12 years and 8 months). There were 25 (81%) females and 5 (16%) patients had malignant disease. Abnormal bowel function was noted in 42% of patients, with constipation being the commonest complaint (39%) with no obvious predictive features at presentation. Urinary symptoms were reported in 55% of the patients. A total of nine (29%) patients suffered from urgency and/or wetting. Confirmed urinary tract infections (UTIs) were reported by nine patients. Successful pregnancies were reported by two females and neither of their children had SCT. CONCLUSIONS: This is one of the largest national studies assessing the long-term outcome of patients with SCT. It highlights the significant gastrointestinal and urological long-term morbidities of SCT patients, which is useful for counselling families.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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".