Serial serum ferritin measurements in untreated <i>HFE</i> C282Y homozygotes in the Hemochromatosis and Iron Overload Screening Study
Bibliographic record
Abstract
Hemochromatosis has often been associated with progressive iron overload, but the natural history of iron accumulation in untreated C282Y homozygotes has been reported infrequently. The Hemochromatosis and Iron Overload Screening (HEIRS) Study screened 101 168 primary care participants for iron overload using transferrin saturation, unbound iron-binding capacity, Serum ferritin (SF), and HFE C282Y and H63D genotyping. SF was measured at initial screening (IS) and again when selected participants returned for a clinical examination (CE). The change in SF over the observation period (defined as ferritin rate of change) was analyzed according to age, gender, initial SF, initial SF/age, transferrin saturation, and iron removed by phlebotomy in C282Y homozygotes. Seventy-four male and 133 female untreated C282Y homozygotes were observed over a median of 112 days (34-924 days) between IS and CE. In men, SF increased in 54% and decreased in 46%. In women, SF increased in 50% and decreased in 50%. The significant variables affecting the SF rate were initial log SF (P = 0.0027) and transferrin saturation (P < 0.0001). Male C282Y homozygotes with higher SF rates (n = 27, upper 50th percentile) had significantly greater iron removed by phlebotomy (mean 4.93 g, range 1.0-17 g) than those with lower SF rates (n = 26, lower 50th percentile) (mean 2.6 g, 0.42-7.1, P < 0.05). SF was as likely to decrease as increase in untreated C282Y homozygotes over this relatively brief observation period. Incremental increases in SF are not inevitable in untreated C282Y homozygotes.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".