Bibliographic record
Abstract
OBJECTIVE: To increase family physicians' awareness of the prevalence of hemochromatosis and to suggest strategies for diagnosis and management of hemochromatosis with the goal of decreasing the development of associated life-threatening conditions. QUALITY OF EVIDENCE: A MEDLINE search from January 1966 to January 2002 using the MeSH term hemochromatosis/therapy found no randomized controlled trials. A further search from January 1990 to January 2002, using the heading hemochromatosis and subheadings diagnosis, epidemiology, genetics, and therapy, found articles with level II evidence (case-control and cross-sectional studies) and level III evidence (descriptive studies and reports from expert committees). Articles were selected based on clinical relevance. MAIN MESSAGE: Hemochromatosis is the most common hereditary condition in populations of Northern European descent, affecting three to five people per thousand. Many of these people remain undiagnosed with this condition. The iron overload associated with hemochromatosis can lead to serious, life-threatening conditions, such as diabetes, hepatic cirrhosis, primary liver cancer, and cardiomyopathy. Family physicians can screen patients they suspect are at risk of hemochromatosis with simple indirect serum iron measurements (transferrin saturation and serum ferritin) and with widely available genetic tests (C282Y and H63D). Studies of families can help uncover further cases of hemochromatosis; population screening is currently under study. CONCLUSION: Family physicians can facilitate early diagnosis of hemochromatosis by maintaining a high index of suspicion in patients with early signs or symptoms or in high-risk groups, and screening these patients for hemochromatosis.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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; 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".