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Record W4412495152 · doi:10.7759/cureus.88363

From Yellow Cumulus to Pregnancy in Autoimmune Hemolytic Anemia Following Bilirubin Reduction: A Case Report

2025· article· en· W4412495152 on OpenAlexaff
Feras Sendy, Simon Phillips, S. Menard

Bibliographic record

VenueCureus · 2025
Typearticle
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsMcGill University Health CentreCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineAutoimmune hemolytic anemiaPregnancyBilirubinReduction (mathematics)AnemiaObstetricsInternal medicine

Abstract

fetched live from OpenAlex

Autoimmune hemolytic anemia (AIHA) is a systemic condition associated with inflammation and oxidative stress, both of which can negatively affect reproductive outcomes. Bilirubin, a byproduct of hemolysis, has been implicated in oocyte maturation and embryogenesis. We present the case of a 31-year-old patient with primary infertility who was known with AIHA. She had a total bilirubin level of 60 µmol/L prior to the first stimulation cycle, which was associated with yellowish pigmentation of the cumulus cells, poor oocyte quality, and no blastocyst formation. The decline in the total bilirubin level to 48 µmol/L after prednisone therapy of 60 mg daily for three months led to improved cumulus cell appearance and enhanced oocyte and embryo quality in the second stimulation cycle. A successful pregnancy was achieved following frozen blastocyst transfer in a natural cycle. This case underscores the importance of individualized assessment and the careful interpretation of elevated bilirubin levels in the context of assisted reproductive technology, as systemic conditions may potentially impact reproductive success.

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)0.000
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.474
Threshold uncertainty score0.630

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.014
GPT teacher head0.300
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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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