Nephrectomy in patients with Caroli’s and ADPKD may be associated with increased morbidity
Bibliographic record
Abstract
Autosomal dominant polycystic kidney disease (ADPKD), characterized by multiple bilateral renal cysts, is the most common inherited disorder of the kidney and an important cause of end-stage renal disease (ESRD). Caroli's disease is a much less frequent condition with ectasia of the intrahepatic biliary system. A clear association between autosomal recessive and Caroli's disease has been described, but only 4 cases of ADPKD and Caroli's disease have been reported with 2 postoperative mortalities. The aim of this case is to increase the awareness of intra-operative and postoperative complications. A 66 year-old male was diagnosed with ADPKD and Caroli's disease with hepatosplenomegaly and 4 episodes of ascending cholangitis. After 3 years of hemodialysis for ESRD, he received a cadaveric renal allograft. Subsequently, he developed paroxysmal atrial fibrillation. Upon anticoagulation, he developed multiple episodes of gross hematuria from the left native kidney. After the anticoagulation therapy was discontinued, he underwent bilateral nephrectomies of his native kidneys. Intra-operatively, a splenic laceration could not be managed conservatively. Therefore, splenectomy was performed. In addition, he developed ascending cholangitis post-operatively that was treated with antibiotics. He was discharged on postoperative day 18. Genetic testing revealed that the patient is heterozygote for a large deletion in PKD1 gene, which encompasses all tested exons (exons 1-44).
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".