Bibliographic record
Abstract
Any pregnant woman who becomes unwell during any stage of pregnancy following the clinical history should be examined for evidence of liver disease, particularly checks for evidence of liver failure. Physical examination should include evaluations of hydration status, mental status, and search for skin manifestations of liver disease, for example bruising, spider nevi (palmarerythemia may be present in all pregnant women). Even if there are no findings, all should have liver biochemistry and liver function evaluated in addition to hematologic and renal function testing. A full medical and surgical history is needed and the specific trimester elucidated. The history (including trimester) and physical examination, taking into account the results of screening blood tests, is required to narrow down the differential diagnosis. If there are any signs of liver failure, transfer to an intensive care unit is preferable. Diagnostic tests for all types of viral hepatitis should be sent, including a vaginal swab for herpes simplex. Ultrasound may contribute towards the diagnosis of fatty liver and Budd–Chiarisyndrome. Close monitoring of the complete blood count and INR are required in those with “presumed” pregnancy-associated toxemia. Curiously, during pregnancy cholestasis although associated with pruritus has a liver biochemical pattern more in keeping with a “hepatitis”; serum bile acid levels clinch the diagnosis. Intense pruritus due to cholestasis of any cause may be very difficult to control with standard oral therapies and may require plasmapheresis. All patients with signs of liver failure should be assessed by a liver transplant service.
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 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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.034 | 0.001 |
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; both teacher heads agree on what is shown here.
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".