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Record W4362643962 · doi:10.56875/2589-0646.1044

Managing Sickle Cell Disease in Patients for Whom Blood Transfusion Is Not an Option

2023· review· en· W4362643962 on OpenAlexaff
Bukky Florence Tabiti, Sherri Ozawa, Arooj Mian, Megha Suri, Haley L. Yates, Lewis L. Hsu

Bibliographic record

VenueHematology/Oncology and Stem Cell Therapy · 2023
Typereview
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsBlood transfusionMedicineDiseaseIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Sickle Cell Disease (SCD) is a hereditary blood disorder affecting beta hemoglobin. This disorder causes sickle-shaped red blood cells with decreased oxygen-carrying capacity resulting in vaso-occlusive crises. These crises are often treated with analgesics, antibiotics, IV fluids, supplementary oxygen, and allogeneic blood transfusion. This treatment regimen becomes complicated when caring for SCD patients for whom blood transfusion is not an option. Blood transfusion may not be an option due to the patient's religious, personal, or medical concerns and in scenarios where blood is not available for transfusion. Some examples include the patient being a Jehovah's Witness, blood-borne pathogens concerns, or prior history of multiple alloantibodies and severe transfusion reactions. The number of patients in these categories is growing. The patients and their autonomy should be respected during treatment. This review focuses on the currently available modalities to best manage this subgroup of SCD patients without blood transfusion, including new professional guidelines and new therapies to reduce the severity of SCD as approved by the Food and Drug Administration since 2017.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.964
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.038
GPT teacher head0.319
Teacher spread0.280 · 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.

Study designNot applicable
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

Citations1
Published2023
Admission routes1
Has abstractyes

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