Comparison of American Joint Committee on Cancer TNM-based Staging System (7th edition) and Ann Arbor Classification for Predicting Outcome in Ocular Adnexal Lymphoma
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To compare the TNM and Ann Arbor staging systems in predicting outcome in ocular adnexal lymphoma (OAL). METHODS: Retrospective review of the clinical, imaging and histopathologic records of OALs between 1986 and 2009. Outcome measures included local recurrence and progression. RESULTS: One hundred and sixty patients of OAL were included. Mean age was 65 ± 15 years (range 20-97) and 68 (43%) were male. The median follow-up of all OAL patients was 65 months (range 2.5-238). Histopathology identified low-grade, indolent B-cell lymphomas in 140 patients (87.5%) and rest had aggressive grades. Of 134 indolent OAL patients, those with unilateral disease had a 10-year progression free survival of 72% versus 48% in their bilateral counterparts (p = 0.001). Amongst unilateral OAL patients staged within the T1-2 group, a significantly better outcome was noted for patients without nodal or metastatic involvement compared to those with such involvement (p = 0.0001). The above observations helped to formulate a simple scoring system to prognosticate OALs based on their laterality and node/metastatic status. Amongst the 3 groups identified, group 1 with a score of 0 (unilateral OALs with no nodes or metastasis) had a 10-year progression free survival of 75%; group 2 with score 1 (either bilateral or positive nodes/metastasis) 50% and group 3 with score 2 (both bilateral OAL with positive nodes/metastasis) zero at 10 years (p < 0.00001). CONCLUSIONS: The TNM-based staging system better predicts outcome in OAL than the Ann Arbor system primarily by delineation of bilateral disease and nodal/metastatic involvement at presentation.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it