Bibliographic record
Abstract
OBJECTIVE: To review current knowledge of the genetics, presentation, diagnosis, and management of hereditary hemochromatosis. QUALITY OF EVIDENCE: MEDLINE was searched from January 1966 to June 2002, and references of relevant papers were reviewed. Most articles were reviews, practice guidelines, or observational studies. Several randomized controlled trials were identified but none studied primary therapy for hemochromatosis. MAIN MESSAGE: Hemochromatosis, the most common genetic disease in white populations, has a prevalence of one in 200, yet is still underrecognized. This disease of unregulated iron absorption leads to generalized iron overload that can eventually impair organ systems and lead to cirrhosis, diabetes, and cardiomyopathy. Symptoms are often nonspecific and patients are identified by mild abnormalities in routine laboratory testing. Transferrin saturation, ferritin levels, and genotyping can often establish the diagnosis. Iron depletion therapy with phlebotomy is helpful if initiated before organ damage occurs. CONCLUSION: Family physicians should be aware that hemochromatosis can be treated effectively if diagnosed early.
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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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".