Polycystic Liver Disease: Experience at a Teaching Hospital
Bibliographic record
Abstract
OBJECTIVES: This study describes the natural history of patients with polycystic liver disease, a rare disorder characterized by multiple hepatic cysts. METHODS: Cases were identified through review of charts from a hepatology practice, a hepatobiliary surgery practice and a retrospective chart review of inpatient charts from 1990 to 2002. All patients had greater than four simple liver cysts without infectious etiology. Medical records were reviewed for history, physical examination, imaging, and laboratory data. Patients' family practitioners provided follow-up. RESULTS: Fifty-three cases (62.3% female, 37.7% male) were identified. The mean age at diagnosis was 56.4 yr. Thirty-eight cases (71.7%) had associated polycystic kidney disease. The minority of patients were symptomatic at diagnosis (pain in 19 (36.5%), dyspnea in 5 (9.6%), and restricted mobility in 5 (9.6%) with hepatomegaly in 23 (45.1%). Follow-up information was attainable for 40 patients with a mean follow-up duration of 4.69 yr (range 0.1-15 yr). Within this subgroup, 9 patients (22.5%) had cyst bleeding, 5 (12.5%) had cyst rupture, 5 (12.5%) had cyst infection, 12 (30%) required an intervention. One patient (2.5%) developed portal hypertension, and two (5%) received a liver transplant. One patient (2.5%) died due to complications from liver cysts. CONCLUSIONS: Most patients in this highly selected cohort were asymptomatic with normal hepatic function. Pain was the most common symptom. The natural history is variable however, with some patients developing complications including portal hypertension. Minimally invasive interventions are appropriate initially, with hepatic resection and liver transplantation reserved for those with severe symptoms or life-threatening complications.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".