Altered circadian rhythm in rest and activity (CircAct): Independent prognostic value for survival in patients (pts) with metastatic colorectal cancer (MCC)
Bibliographic record
Abstract
14573 Background: Altered CircAct accelerated tumor growth in experimental models (JNCI 2002, 2005; Cancer Res 2004). CircAct was found to be related to survival in two studies (St) in MCC pts (St 1, Clin Cancer Res 2000; St 2, ASCO 2005 #3553). The current study attempted to provide an independent prognostic stratification criteria for survival according to baseline CircAct as a first step toward the development of a comprehensive prognostic model based on circadian physiology. Methods: CircAct was continuously and non- invasively assessed over 72h with a wrist accelerometer (Ambulatory Monitoring, USA), before chemotherapy in two independent datasets of 169 MCC pts (60% pretreated) at Paul Brousse Hospital (St 1) and 130 chemo-naïve MCC pts registered in the international EORTC 05963 trial (St 2). Activity distribution during rest and wakefulness was objectively quantified by I 92 (Table). The hazard ratios (HR) were 0.37 [95%CI: 0.25 to 0.55] (p<0.0001) in St 1 and 0.56 [0.36 to 0.87] (p=0.01) in St 2. The prognostic value of altered CircAct persisted after adjusting for PS (HR=0.46 [0.30 to 0.69], p=0.0002 in St 1; HR=0.61 [0.38 to 0.97], p=0.04 in St 2). Conclusions: The independent stratification of MCC pts for survival according to baseline altered CircAct occurred using a threshold value of 92 for I [Table: see text] No significant financial relationships to disclose.
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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 | 0.001 |
| 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) | 0.001 | 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".