Unique Variant of Zieve Syndrome With a Normal Reticulocyte Count
Bibliographic record
Abstract
Zieve syndrome is a rare diagnosis seen in patients with chronic alcohol use which consists of a distinct clinical triad of hyperlipidemia, hemolytic anemia, and jaundice. Patients typically have an elevated reticulocyte count due to the hemolytic nature of the anemia. We present the case of a 44-year-old female who was discovered to have an unusual variant of Zieve syndrome with a normal reticulocyte count, which was believed to be due to suppression of bone marrow from excessive alcohol consumption. She was treated with steroids and complete alcohol cessation, with remarkable improvement on subsequent follow-up. An exhaustive literature review of 31 documented cases of Zieve syndrome was conducted to better understand the clinical presentation and overall prognosis of these patients. This case report and literature review aimed to improve patient outcomes through increased recognition of this underrecognized syndrome.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".