Bibliographic record
Abstract
Diseases of the pancreas and biliary tract is an area which can be challenging for students, nurses and practicing physicians to understand and keep up to date with. The anatomy and physiology of the pancreas and biliary tract is particularly complex compared with other parts of the body. Some of the diseases affecting the pancreas and biliary tract are common, others are less so, but it is necessary to be familiar with these conditions because of their impact on patients and the potential for therapy. Our understanding of the pathophysiology of these diseases and approach to the available therapeutic options is being updated regularly by the medical literature. Fast Facts: Diseases of the Pancreas and Biliary Tract is a concise, easy-to-read book reviewing the diseases affecting the pancreas and biliary tract. The book is well organized with a colour-coded list of chapters that can be easily followed by the reader to obtain a particular topic quickly. The book is divided into 10 chapters that review the pathophysiology, epidemiology, diagnosis and management of all of the important pancreatic and biliary diseases, both benign and malignant. The information is clearly presented in the text and there are excellent figures, illustrations and summary tables where appropriate. The authors have provided evidence-based information that is supported by the literature. At the end of each chapter, there is a list of important references. I strongly recommend this book as a resource for the busy health care professional, both during their training and in practice. It would be a valuable asset for medical students and residents trying to learn about pancreatic and biliary tract diseases during their training, but also for practicing physicians looking after patients. Nurses and other allied health care professionals looking after both medical and surgical patients with these diseases would also find this book very useful.
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 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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.398 | 0.299 |
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".