The impact of primary pancreatic tumor location on clinical outcomes in advanced disease: Results from the chord consortium.
Bibliographic record
Abstract
e19267 Background: Pancreatic cancer is the fourth leading cause of cancer-related death with an average life expectancy of approximately six months following diagnosis. It is essential to understand the behavior of cancer cells to predict pattern of progression. Previous studies have shown that location of pancreatic adenocarcinoma has an influence on overall survival (OS) with worse OS among patient whom developed pancreatic cancer in the tail of pancreas. The objective of this study was to determine if location of the primary pancreatic adenocarcinoma (head/neck vs. body vs. tail) has an influence on overall survival and study pattern of metastasis to lung, liver and peritoneum base on primary tumor site. Methods: A retrospective cohort design was used to identify cases of advanced adenocarcinoma pancreas and to assess disease and treatment-related characteristics. Medical records from all adult patients diagnosed with metastatic pancreatic cancer across five Canadian academic cancer centers in Canada from 2014 to 2019 were reviewed using a national Research Electronic Data Capture (REDCap) database. Prognostic variables including age, Charlson comorbidity index, ECOG, cigarette smoking, nodal status, sites of metastases, and type of first line chemotherapy were collected. Cox proportional hazards model was used to examine the association between anatomical location of pancreatic cancer and survival, adjusted for measured confounders. Analyses were completed using SAS, where alpha of 0.05 was defined as the level of significance. Results: A total of 1161 participants were included in the study. The primary origin of pancreatic cancer included head/neck (51.8%), tail (20%) and body (16%). Metastatic sites included peritoneum (n = 170), lung (n = 145), and liver (n = 563). Peritoneal metastasis originated from tail (21.3%) and body (16.8%) and less from head /neck (9.1%) (P < 0.001). Liver metastasis originated from body (52.7%) and tail (66%) and less from head/neck (37%) (P < 0.001). Lung metastasis originated from body (13.6%) and tail (19.6%) and less from head/neck (7.8%) (p < 0.001). Multivariate analyses (MVA) showed that primary tumour location was not associated with overall survival (p > 0.05). Conclusions: Pancreatic lesions that originate in the body and tail were more likely to metastasize to lung, liver and peritoneum. Anatomical location of the primary pancreatic cancer was not associated with overall survival.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".