Bibliographic record
Abstract
Although hepatotoxicity is a known sequela of acute iron poisoning, the literature describing it is confined to sporadic reports. Key issues such as prognosis and whether this is a dose-related phenomenon are not addressed. Review of this literature and of experimental animal studies demonstrates that it occurs early in the clinical course and has a relatively high mortality. The lowest acute serum iron concentration associated with hepatotoxicity was 1700 microg/dL (304 micromol/L). Since this greatly exceeds the reference range of 50-150 microg/dL (9-27 micromol/L), it supports a dose-related etiology. Unlike most other hepatotoxins, the periportal areas of the hepatic lobule are the primary sites of injury. As this is the principle sitefor hepatic regeneration, this accountsfor the relatively high mortality rate. An understanding of the pathogenesis of the hepatotoxicity of acute iron poisoning is central to the identification of rational and effective interventions. From the clinical perspective, the relatively high mortality rate of iron poisoning-induced hepatotoxicity requires vigilance for its onset and earlier consideration of liver transplantation.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".