Is the Glasgow Prognostic Score Applicable to Both Early- and Advanced-Stage Gastric Cancers?
Bibliographic record
Abstract
BACKGROUND: The Glasgow prognostic score (GPS) has been reported as a sensitive prognostic marker for gastric cancer. This study aimed to investigate whether the GPS is equally applicable to patients with early-stage and advanced-stage gastric cancers. METHODS: Patients (n = 544) who underwent elective gastrectomy for gastric cancer between 2007 and 2015 were retrospectively studied. GPSs of 2, 1, and 0 were allocated to patients with both an elevated C-reactive protein level (> 1.0 mg/dL) and hypoalbuminemia (< 3.5 mg/dL), patients with only one of these abnormalities, and patients with neither abnormality, respectively. The prognostic factors relevant to patients with early-stage (pStage I, n = 304) and advanced-stage (pStage II, III, and IV, n = 240) gastric cancer were analyzed through univariate and multivariate analyses. RESULTS: In the early-stage group, only the serum carbohydrate antigen (CA) 19-9 level (P = 0.037) was a significant prognostic factor in the multivariate analysis; the GPS was not significant (P = 0.095). In the advanced-stage group, an American Society of Anesthesiologists physical status of 3 or 4 (P = 0.032), elevated carcinoembryonic antigen (CEA) (P = 0.043) and CA19-9 (P = 0.045) levels, a GPS 1 - 2 (P = 0.017), and type 4 tumor (P = 0.020) correlated significantly with worse overall survival. CONCLUSIONS: GPS is a simple and useful prognostic score for patients with advanced-stage, but is not applicable to early-stage patients.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".