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Record W2020021945 · doi:10.1002/pd.1824

Predictive blood group genetics in hemolytic disease of the fetus and newborn: a 10‐year review of a laboratory evaluation of amniotic fluid‐derived DNA

2007· review· en· W2020021945 on OpenAlexaffabout
Eva Seto, J. Fernandes, Chen Wang, Gregory A. Denomme

Bibliographic record

VenuePrenatal Diagnosis · 2007
Typereview
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsCanadian Blood ServicesUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsZygosityAmniotic fluidGenotypingFetusBiologyPolymerase chain reactionPrenatal diagnosisHemolytic disease of the newborn (ABO)AmniocentesisPregnancyMedicineImmunologyGenotypeGeneticsGene

Abstract

fetched live from OpenAlex

OBJECTIVE: To identify the types of requests, the patterns of testing, and the error rates associated with the genetic identification of fetuses at risk for immune-mediated hemolytic disease. METHOD: Retrospective review of the laboratory information system for all fetal blood group genotyping tests performed at Mount Sinai Hospital, Toronto, Canada from January 1997 to December 2006. RESULTS: Amniotic fluid-derived DNA, from 220 women (243 pregnancies), was tested for one or more antigens (279 tests) when the father was heterozygous for the inferred blood group antigen or was unavailable. The PCR amplification failure rate of amniotic fluid-derived DNA was 5.0%. When the father was considered hemizygous for RHD or was not available, the fetus was positive in 68.6% and 72.7% of cases, respectively. Two amniotic fluid-derived DNA KEL1 SSP-PCR results did not correlate with the result determined from cultured amniocyte DNA. CONCLUSIONS: Paternal RHD hemizygosity may be overestimated. Thus, we recommend that RHD zygosity be established by molecular analysis of the RHD breakpoint. Cultured amniocytes should be reserved for testing if the amniotic fluid-derived DNA is inconclusive due to PCR amplification failure. We use PCR-RFLP genotyping methods for RHCE*E/RHCE*e (Rh E/e), KEL1/KEL2 (K/k), FYA/FYB (Fy(a/b)), and JKA/JKB (Jk(a/b)).

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.567
Threshold uncertainty score0.948

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
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 head0.037
GPT teacher head0.322
Teacher spread0.286 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations3
Published2007
Admission routes2
Has abstractyes

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