Abstract 484: Pre-treatment platelet counts as a prognostic factor in stage II and III rectal adenocarcinoma
Bibliographic record
Abstract
Abstract Background. Thrombocytosis is often associated with malignancies and has been confirmed as an adverse prognostic factor in various cancers. We investigated if pre-treatment elevated platelet counts could provide prognostic information in patients with stage II and III rectal adenocarcinoma that received neo-adjuvant treatment before surgery. Patients and Methods. Platelet number on diagnosis of stage II and III rectal cancer was evaluated in 51 patients receiving neo-adjuvant treatment and for whom there were complete follow-up data on progression and survival, as well as pathologic outcome at time of surgery. Pathologic response after neo-adjuvant treatment of patients with lower platelet counts (150-300× 109/L) was compared with that of patients with higher platelet counts (>300× 109/L) by the χ2 test. Overall and progression free survival Kaplan-Meier curves of the two groups were constructed and compared with the LogRank test. Results. A significant difference was present between the two groups in regards to pathologic response with patients with lower platelet counts being more likely to exhibit a good or complete response to neo-adjuvant treatment than patients with higher platelet counts (P = 0.015). There was also a significant difference between the CEA at presentation of patients that exhibited a good or complete response and those that had no response or a minimal to moderate response. Patients with a good or complete response were more likely to present with a CEA of less than 5 (P = 0.00066). There was no significant difference in overall and progression free survival between the two groups (LogRank tests p = 0.42 and p = 0.35, respectively). Conclusion. In this retrospective analysis of stage II and III rectal cancer patients, platelet counts at the time of diagnosis had prognostic value for neo-adjuvant treatment pathologic effect. Pre-treatment CEA also held prognostic value in regards to treatment effect. Citation Format: Ioannis Voutsadakis, Morgan Steele. Pre-treatment platelet counts as a prognostic factor in stage II and III rectal adenocarcinoma. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 484.
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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) | 0.000 | 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) | 0.002 | 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".