Thymic carcinoma: A cohort study of prognostic factors after surgical resection from the European Society of Thoracic Surgeons database.
Bibliographic record
Abstract
7602 Background: Thymic carcinomas are rare tumors which have recently been separated from thymomas due to their different histologic/clinical characteristics. Most of the current literature is composed of small series spanned over extended time periods Methods: The European Society of Thoracic Surgeons (ESTS) developed a retrospective database collecting data on patients with thymic tumors submitted to surgery (1990-2011). Out of 2,265 incident cases, there were 229 thymic carcinomas. Clinical-pathologic characteristics were analyzed including age, gender, stage (Masaoka), histologic subtypes (squamous cell/others), type of resection (complete/incomplete), tumor size, induction and adjuvant therapy (chemotherapy-ChT/radiotherapy-RT), recurrence. Primary outcome was overall survival (OS); secondary outcomes were disease-free survival (DFS) and the cumulative incidence of recurrence. Survival analysis was performed using univariate and multivariate (Cox-shared frailty) competing-risk models. Missing data were analysed using multiple-imputation techniques Results: A multidisciplinary approach (surgery, ChT and RT) was used in most patients. Induction therapy was employed in 78 patients (ChT, 53; ChT/RT 23; RT, 2). Adjuvant therapy was employed in 150 patients (ChT, 19; ChT/RT, 72; RT, 59). Complete resection (R0) was achieved in 71% of the patients. Five and 10-year OS were 60% and 35%. Five and 10-year DFS were 62% and 43%. Cumulative incidence of recurrence was 0.25, 0.32 and 0.40 at 3, 5, and 10 years. Independent OS predictors (multivariate analysis) were young age (p=0.006), stage I/II (vs. III/IV, p=0.02), R0 resection (p<0.001), adjuvant therapy (ChT, RT or both) (p=0.02). Independent predictor of recurrence (univariate analysis) was tumor size (p=0.05). Conclusions: In thymic carcinomas submitted to surgical resection, increased age,Masaoka stages III-IV and incomplete resection had a significant impact in worsening survival. Larger tumors had an increased risk of recurrence. The administration of adjuvant ChT or RT was associated with improved overall survival. A multidisciplinary approach to these rare tumors remains essential.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".