F-120PATIENT-DERIVED SCORE BETTER DISCRIMINATOR OF OVERALL SURVIVAL THAN CLINICIAN-ASSIGNED ECOG STATUS
Bibliographic record
Abstract
Objectives: Functional Assessment of Cancer Therapy-Oesophagus (FACT-E) is a validated health-related quality of life (HRQOL) instrument containing an oesophageal cancer subscale (ECS). Our objective was to assess the discriminative ability of baseline FACT-E and ECS as compared to ECOG performance status in predicting overall survival in patients with Stage II-IV cancer of the gastro-oesophageal junction or thoracic oesophagus. Methods: Data from 4 Canadian prospective studies were combined. These studies included consecutive patients with clinical stage II-IV cancer of the gastro-oesophageal junction or thoracic oesophagus who received chemoradiation either as neoadjuvant or definitive therapy. One study utilized adjuvant sunitinib. Three separate Cox regressions were performed with overall survival as the outcome and FACT-E, ECS and ECOG as the main predictors, respectively. These regressions controlled for age, stage, histology and treatment intent (curative vs palliative). Results: Overall, 128 patients had complete data. Mean age was 60.1 ± 10.3 years with 69.5% (n = 89) adenocarcinomas. Eight (6.3%) patients had palliative-intent therapy. Fourteen (10.9%) patients had sunitinib. Seventy-five deaths were observed. Mean FACT-E and ECS scores were 79.1 + 17.9 and 47.1 + 12.7, respectively. Overall, 39.8% (n = 51), 58.6% (n = 75) and 1.6% (n = 2) had ECOG performance statuses 0, 1 and 2, respectively. Baseline FACT-E and ECS independently predicted survival (both P < 0.001) whereas ECOG did not (P = 0.91). The regression models using FACT-E and ECS demonstrated better discrimination than the model utilizing ECOG (c-statistics 0.63 and 0.65 vs 0.51). Conclusions: In patients with stage II-IV oesophageal cancer being considered for chemoradiation therapy, baseline FACT-E and ECS appear to have better discrimination for survival than ECOG. The majority of patients were ECOG 0/1. Thus, these patient-derived scores were able to discriminate survivors from non-survivors even within this constrained range of clinician-assigned performance status. This highlights the potential utility of FACT-E and ECS as prognostic tools in practice and trials. Disclosure: No significant relationships.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".