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Record W3032168658 · doi:10.14740/jmc3479

Intrapartum Management of Sickle Cell Anemia With Rare Antibody and Minimal Blood Availability

2020· article· en· W3032168658 on OpenAlexvenueno aff
Aaron M. Dom, Rebecca Pollack, Nikki Koklanaris, Padmaja Veeramreddy, Ifeyinwa Osunkwo

Bibliographic record

VenueJournal of Medical Cases · 2020
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnemiaPregnancyBlood transfusionAdverse effectSickle cell anemiaHemoglobinFetusObstetricsFetal hemoglobinDiseasePediatricsIntensive care medicineSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Sickle cell disease (SCD) can pose serious maternal and fetal risk in pregnancy. Transfusion, both during and outside of pregnancy, can improve patient morbidity and mortality but carries risk of alloimmunization, complicating future management. This case describes a 29-year-old gravida 1, para 0 woman with sickle cell anemia and rare red blood cell alloantibody (anti-Rh46) who presented with severe vaso-occlusive crisis at 29 weeks with hemoglobin of 7.6 g/dL. Only one unit of compatible blood existed in the country. Planning for transfusion with least-incompatible blood was made. She ultimately underwent cesarean section at 31 weeks and 2 days for abnormal fetal testing. This case highlights that blood products should be utilized judiciously because their adverse effects, like alloimmunization, can increase patient morbidity and mortality.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.260
Teacher spread0.248 · 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 designCase report
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

Citations1
Published2020
Admission routes1
Has abstractyes

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