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A Multicentre Trial of the Effectiveness of ζ Globin Enzyme Linked Immunosorbent Assay (ELISA) and Hb H Inclusion Body Screening for the Detection of α Thalassemia Trait.

2006· article· en· W2564655019 on OpenAlexaffabout
John Lafferty, David Barth, B. Sheridan, Andrew McFarlane, Linda M. Halchuk, Mark Crowther

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsHamilton Regional Laboratory Medicine ProgramUniversity of TorontoMcMaster University
Fundersnot available
KeywordsMicrocytosisHydrops fetalisMedicineThalassemiaMolecular biologyInternal medicineImmunologyGastroenterologyBiologyAnemiaGeneticsFetusIron deficiencyPregnancy

Abstract

fetched live from OpenAlex

Abstract The most serious form of α thalassemia, Hb Barts hydrops fetalis, results in fetal death and dangerous obstetric complications. Syndromes containing two α gene deletions on the same chromosome (in cis), e.g. α thalassemia trait and Hb H disease, are carriers of this condition. The most common cis deletion is the Southeast Asian (--SEA/) deletion. The gold standard diagnosis for carriers is DNA investigation, a technique only available in specialized laboratories. The current routine screening test, Hb H screen, is considered insensitive, observer dependant and time consuming. We present results of a prospective Ontario multicentre study investigating the effectiveness of a new ζ globin ELISA and a standardized Hb H screen compared to DNA testing for the detection of Hb Barts hydrops fetalis carriers. Study testing included CBC, Hb variant detection, Hb A2 and Hb F quantitation, a standardized Hb H inclusion body screen, ferritin level, free erythrocyte protoporphyrin, gap PCR and ζ globin ELISA. The standardized Hb H screen utilized commercially prepared brilliant cresyl blue incubated for one hour at 37°C followed by microscopic examination for Hb H, two minutes each of two blood films. The calculated sensitivities and specificities for the detection of various genotypes of α thalassemia are noted in Table 1. Of 102 carriers 27 (26.5%) had a concomitant cause of microcytosis. Results show ζ globin ELISA is highly sensitive and specific for SEA α thalassemia trait but is less effective than Hb H screening in detecting SEA Hb H disease, and is of no value in the detection of non-SEA α thalassemia trait and non-SEA Hb H disease. Neither test is of value in detecting single α globin gene deletions. The standardized Hb H screen showed better than expected performance. With all carrier genotypes considered Hb H screen and ζ globin ELISA displayed equal sensitivity and specificity. We conclude that a positive ζ globin ELISA is diagnostic of the SEA deletion, that combined use of both a standardized Hb H screen and ζ globin ELISA improves the sensitivity of Hb Barts hydrops fetalis carrier detection from 0.71 to 0.91 with no loss of specificity, combined testing should be standard practice for α thalassemia testing in routine laboratories and that detection of an alternate cause of microcytosis does not exclude Hb Barts hydrops fetalis carriers and should not be used for this purpose. Table 1 Sensitivities and specificities. Genotypes Hb H Inclusion Bodies ζ globin ELISA ζ globin ELISA and Hb H Inclusion Bodies Combined α thalassemia Deletions Detected (Total Samples n = 1025) Sens Spec Sens Spec Sens Spec All single α globin gene deletions 0.02 0.89 0.02 0.9 0.04 0.86 245 α thalassemia trait (SEA deletion) 0.69 0.96 0.96 0.99 0.97 0.98 72 Hb H disease (SEA deletion) 0.88 0.92 0.38 0.92 1.0 0.89 8 α thalassemia trait (non-SEA deletions) 0.68 0.92 0.0 0.92 0.68 0.9 19 Hb H disease (non-SEA deletions) 0.67 0.91 0.0 0.92 0.67 0.89 3 Total Hb Barts hydrops fetalis carriers 0.71 0.98 0.71 0.99 0.91 0.97 102

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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)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.238
Teacher spread0.231 · 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 designNon-randomized trial
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

Citations0
Published2006
Admission routes2
Has abstractyes

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