Management of pancreatic fluid collections in patients with acute pancreatitis
Bibliographic record
Abstract
Abstract Acute pancreatitis is associated with development of pancreatic fluid collections (PFCs). Acute PFCs that develop in interstitial edematous pancreatitis mostly resolve but some may persist and evolve into pseudocysts. Acute necrotic collections occurring in acute necrotizing pancreatitis generally persist and evolve into walled-off necrosis (WON) after 3 to 4 weeks. Most acute fluid collections do not require drainage unless they are large and cause compression of adjacent organs, contribute to increase in intraabdominal pressure or become infected. Acute infected collections can be managed with antibiotics and percutaneous drainage but may require necrosectomy either by minimally invasive surgical or endoscopic methods such as video-assisted retroperitoneal debridement and percutaneous endoscopic necrosectomy. Mature sterile collections, that is, pseudocyst and WON with a defined wall are best treated by internal transmural drainage which can be achieved either by per-oral endoscopic or surgical, preferably laparoscopic, method. Of late, infected PFCs are increasingly being treated with an endoscopic step-up approach that has been shown to be better than minimally invasive surgical step-up approach in terms of lesser complications. Use of lumen apposing metal stents during endoscopic drainage has emerged as an attractive option that facilitates necrosectomy in infected WON.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".