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Record W1965448482 · doi:10.1080/10428190802668873

HLA risk markers for chronic myelogenous leukemia in Eastern Canada

2009· article· en· W1965448482 on OpenAlexaffabout
Christopher Naugler, Robert Liwski

Bibliographic record

VenueLeukemia & lymphoma/Leukemia and lymphoma · 2009
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsDalhousie University
Fundersnot available
KeywordsHuman leukocyte antigenChronic myelogenous leukemiaImmunologyOdds ratioAntigenMedicineLeukemiaPopulationOncologyInternal medicine

Abstract

fetched live from OpenAlex

Chronic myelogenous leukemia (CML) results from a translocation (9;22), which creates an immunogenically active BCR-ABL fusion protein. Previous authors have reported both positive and negative human leukocyte antigen (HLA) associations with CML, possibly as the result of different antigenic peptide presentation capabilities. We examined HLA Class I and Class II antigen polymorphisms in 31 patients with CML and compared these with 258 control individuals drawn from Maritime Canada. HLA-B*13 (odds ratios (OR) 4.92, 95% confidence intervals (CI) 1.70-14.24), HLA-B*55 (OR 4.50, 95%CI 1.07-18.99), and HLA-DRB1*16 (OR 4.07, 95%CI 1.17-14.09) were all statistically significant risk markers for CML. After a Bonferroni correction for Type I error was applied, only HLA-B*13 remained statistically significant as a risk marker for CML. No HLA antigens were found to be protective. The lack of reproducibility of HLA antigen associations with CML suggests that these associations are population-specific and may not be due to HLA antigen-restricted differences in CML antigen presentation.

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)0.000
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 score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.230
Teacher spread0.222 · 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".

Quick stats

Citations11
Published2009
Admission routes2
Has abstractyes

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