Bibliographic record
Abstract
Fibrin glue is widely used in clinical practice and plays an important role in reducing postoperative complications. We report a case of a 65-year-old man, whose common bile duct was injured by fibrin glue, with a history of failed laparoscopic cholecystectomy and open operation for uncontrolled laparoscopic bleeding. In view of the persistent liver dysfunction, xanthochromia and skin itching, the patient was admitted to us for further management. Ultrasound, computed tomography, and magnetic resonance cholangiopancreatography (MRCP) revealed multiple stones in the common bile duct, and liver function tests confirmed the presence of obstructive jaundice and liver damage. Endoscopic retrograde cholangiopancreatography was unsuccessfully performed to remove choledocholithiasis, but a small amount of tissue was removed and pathologically confirmed as calcified biliary mucosa. This was followed by open surgery for suspicious cholangiocarcinoma. There was no evidence of cholangiocarcinoma, but the common bile duct wall had a defect of 8 mm × 10 mm at Calot's triangle. A hard, grid-like foreign body was removed, which proved to be solid fibrin glue. Subsequently, the residual choledocholithiasis was removed by a choledochoscopic procedure, and the common bile duct deletion was repaired by liver round ligament with T-tube drainage. Six months later, endoscopy was performed through the T-tube fistula and showed a well-repaired bile duct wall. Eight months later, MRCP confirmed no bile duct stenosis. A review of reported cases showed that fibrin glue is widely used in surgery, but it can also cause organ damage. Its mechanism may be related to discharge reactions.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".