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Record W2746835364 · doi:10.3233/npm-16131

Intravenous immunoglobulin in the management of a rare cause of hemolytic disease of the newborn: Anti-SARA antibodies

2017· article· en· W2746835364 on OpenAlex
Rohini Venkataraman, Kamran Yusuf

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Neonatal-Perinatal Medicine · 2017
Typearticle
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAntibodyHemolytic disease of the newborn (ABO)FetusExchange transfusionImmunologyPlacentaMedicinePregnancyAntigenABO blood group systemRh blood group systemBlood transfusionBiologyGenetics

Abstract

fetched live from OpenAlex

Hemolytic disease of newborn (HDN) is a condition that develops in a fetus, when the IgG molecules produced by the mother pass through the placenta and attack the fetal red blood cells. HDN can occur due to Rh and ABO incompatibilities between the mother and the fetus as well as due to other allo-immune antibodies belonging to Kell (K and k), Duffy (Fya), Kidd (Jka and Jkb), and MNS (M, N, S, and s) systems. Role of intravenous immunoglobulin in management of HDN is not clear.SARA red blood cell antigen, first discovered in 1990 is a low frequency antigen. We report, a multiparous female whose pregnancy was complicated by HDN due to anti-SARA antibodies requiring both exchange transfusion and intravenous immunoglobulin. The response was sustained after intravenous immunoglobulin (IVIG) rather than after exchange transfusion.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.599
Threshold uncertainty score0.400

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.019
GPT teacher head0.288
Teacher spread0.269 · 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