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Initial Screening Transferrin Saturations, Serum Ferritin Concentrations, and HFE Genotypes in Whites and Blacks in the Hemochromatosis and Iron Overload Screening (HEIRS) Study.

2004· article· en· W2566528426 on OpenAlexaff
James C. Barton, Ronald T. Acton, Fitzroy W. Dawkins, Paul C. Adams, Laura Lovato, Cathy Leiendecker-Foster, Christine E. McLaren, David M. Reboussin, Mark Speechley, Victor R. Gordeuk, Gordon D. McLaren, Phyliss Sholinsky, Emily Harris

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsMedicineTransferrin saturationInternal medicineHereditary hemochromatosisHemochromatosisFerritinGastroenterologyAsymptomaticSerum ferritin

Abstract

fetched live from OpenAlex

Abstract We compared initial screening data of 44,149 whites (17,043 men; 27,106 women) and 26,947 blacks (9,788 men; 17,159 women) who reported no previous diagnosis of hemochromatosis or iron overload from a primary care-based sample of ~100,000 adults ≥25 years recruited from 5 Field Centers. Each underwent transferrin saturation (TfSat) and serum ferritin (SF) measurements without regard to fasting, and HFE C282Y and H63D genotyping. We observed these mean TfSat and SF values and percentages of participants with elevated biochemical measurements (TfSat >50% and SF >300 ng/mL, men; TfSat >45% and SF >200 ng/mL, women): Participants Mean % TfSat (95% CI) Elevated TfSat, % Participants Mean SF, ng/mL (95% CI) Elevated SF, % Participants White men 32.4 (32.3, 32.6) 7.05 150.9 (149.1, 152.8) 19.49 Black men 29.3 (29.1, 29.5) 4.03 178.4 (175.5, 181.3) 25.95 p Value <0.0001 <0.0001 <0.0001 <0.0001 White women 27.5 (27.3, 27.6) 6.62 63.0 (62.3, 63.7) 8.74 Black women 23.3 (23.1, 23.4) 3.04 68.3 (67.2, 69.4) 15.43 p Value <0.0001 <0.0001 <0.0001 <0.0001 In participants grouped by decade, mean TfSat was greater in white men than in black men, and in white women than in black women (all p<0.0001). Mean SF was greater in black men than in white men in all decades except 25–34 years, and in black women than in white women in decades ≥45 years. SF increased with age to ~45 years in white men and ~50 years in black men, and then decreased. In white women, SF rose with age until ~62 years and less rapidly to age ≥80. In black women, SF rose with age until ~62 years and then decreased. C282Y allele frequency was 0.0700 (95% CI: 0.0683, 0.0717) in whites and 0.0119 (0.0110, 0.0129) in blacks. H63D allele frequency was 0.1532 (0.1509, 0.1556) in whites and 0.0299 (0.0284, 0.0313) in blacks. Frequencies of genotypes with C282Y or H63D were greater in whites than in blacks (all p<0.0001). The prevalence of elevated TfSat and SF plus genotype C282Y/C282Y was 0.003 in whites and 0.00004 in blacks (p<0.0001). The prevalence of elevated TfSat and SF plus genotype C282Y/C282Y, C282Y/H63D, or H63D/H63D was 0.006 in whites and 0.0003 in blacks (p<0.0001). We conclude that: 1) the prevalence of elevated TfSat is higher in whites and the prevalence of elevated SF is higher in blacks; 2) SF levels increase with age; 3) HFE C282Y and H63D alleles occur more frequently in whites than in blacks; and 4) the prevalence of elevated TfSat and SF plus genotypes with two common HFE mutations is greater in whites than in blacks.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.014
GPT teacher head0.265
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations2
Published2004
Admission routes1
Has abstractyes

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