Functioning and nonfunctioning neuroendocrine tumors of the pancreas
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
PURPOSE OF REVIEW: Neuroendocrine tumors of the pancreas are a small subgroup of tumors characterized by a variety of biological behaviors. Recent changes in their classification should help better define the prognosis of this diverse group of tumors. With recent advances in diagnosis and staging, the treatment options for all neuroendocrine tumors have evolved. Presented here is a review of the current-day knowledge for neuroendocrine tumors of the pancreas. RECENT FINDINGS: A consensus by leading experts in the neuroendocrine tumors field has proposed an algorithm for the diagnosis, treatment and follow-up of these rare tumors. Surgical resection remains the first-line therapy. Alternative forms of cytoreduction such as radiofrequency ablation and embolization, have increased the ability of the surgeon to debulk these tumors, resulting in improved survival and better palliation. Contrary to adenocarcinoma of the pancreas, hormonal and biotherapy offer unique treatment strategies for these rare tumors. Very recent developments utilizing radionuclide therapy hold promise for not only palliation, but may prove to be a beneficial form of adjuvant therapy. SUMMARY: Presented here is a summary of the recent literature on the diagnosis and treatment of neuroendocrine tumors of the pancreas.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it