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Record W1969269682 · doi:10.1182/blood-2005-02-0593

A novel molecular basis for β thalassemia intermedia poses new questions about its pathophysiology

2005· article· en· W1969269682 on OpenAlexaff
Anuja Premawardhena, Christopher A. Fisher, Nancy F. Olivieri, Shanthimala de Silva, Jackie Sloane‐Stanley, W. G. Wood, D. J. Weatherall

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsUniversity Health Network
FundersWellcome Trust
KeywordsThalassemiaIntermediaGenotypingGeneticsBiologyBeta thalassemiaGeneGenotypeMedicine

Abstract

fetched live from OpenAlex

During a study of the molecular basis for severe forms of beta thalassemia in Sri Lanka, 2 patients were found to be heterozygous for beta thalassemia mutations. Further analysis revealed that one of them has a previously unreported molecular basis for severe thalassemia intermedia, homozygosity for quadruplicated alpha globin genes in combination with heterozygous beta thalassemia. The other is homozygous for a triplicated alpha globin gene arrangement and heterozygous for beta thalassemia. Their differences in clinical phenotype are explainable by the interaction of other genetic factors and, in particular, their early management. The clinical course of the 2 propositi underlines the importance of full genotyping and a long period of observation before treatment is instituted, particularly in patients with beta thalassemia intermedia associated with extended alpha globin gene arrangements. The hemoglobin (Hb) F levels in these patients with severe beta thalassemia intermedia, compared with other forms of this condition in the Sri Lankan population and elsewhere, are unusually low, a consistent finding in extended alpha globin gene interactions and in dominant beta thalassemia, raising the possibility that increased levels of HbF production in beta thalassemia may require mutations at both beta globin gene loci.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score0.519

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.009
GPT teacher head0.258
Teacher spread0.249 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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".

Quick stats

Citations46
Published2005
Admission routes1
Has abstractyes

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