Combination of preoperative CEA and CA19-9 improves prediction outcomes in patients with resectable pancreatic adenocarcinoma: results from a large follow-up cohort
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies with a 5-year survival rate of <7%. Carbohydrate antigen 19-9 (CA19-9) and carcinoembryonic antigen (CEA) are often used to predict the outcome of the malignancy independently. However, the joint prognostic effect of the two tumor biomarkers has not been well determined. The study assessed the joint role of preoperative CA19-9 and CEA in the prognostic prediction of resectable PDAC in a large cohort of patients. The study enrolled 460 eligible patients who were ready to undergo surgery for PDAC. Restricted cubic spline and direct-adjusted survival curve revealed the nonlinear association between the biomarker levels and prognosis of patients. Combination of preoperative CA19-9 and CEA effectively improved the prognostic prediction. About 100 U/mL of CA19-9 and 10 μg/mL of CEA were revealed as potential assistant index for prognostic prediction in patients with resectable PDAC and may be used as one of the criteria to assess the resectability of PDAC.
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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