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Record W4389488953 · doi:10.1182/hematology.2023000482

MSM and blood donation: shifting to individualized risk assessment

2023· article· en· W4389488953 on OpenAlexaffabout
Mindy Goldman

Bibliographic record

VenueHematology · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBlood donation and transfusion practices
Canadian institutionsCanadian Blood ServicesUniversity of Ottawa
Fundersnot available
KeywordsDeferralMen who have sex with menMedicineWindow periodHuman immunodeficiency virus (HIV)DonationApheresisBlood donorDemographyFamily medicineImmunologyBusinessPolitical science

Abstract

fetched live from OpenAlex

Deferring donors at higher risk for transfusion transmissible infections is an important part of ensuring blood safety. The deferral for gay, bisexual, and other men who have sex with men (gbMSM) was implemented in the 1980s in many countries, since they were identified as a high-risk group for AIDS/HIV. With the introduction of increasingly sensitive HIV antibody testing, augmented by nucleic acid testing, the window period for HIV infection-when a donor may be infectious but have negative test results-has shrunk dramatically. In Canada, this has led to progressively shorter deferral periods for gbMSM, decreasing from a permanent deferral for sex with another male since 1977 to a 5-year, 12-month, and eventually 3-month deferral period. These time-based deferrals maintained safety; however, they are seen as stigmatizing by many and still result in the deferral of sexually active gbMSM. More recently, several countries have moved to a donor screening approach based on assessing sexual risk behaviors in all donors. This article outlines research supporting changes in policy, current eligibility screening policies in several countries, and preliminary results postimplementation of new eligibility policies in Canada in September 2022.

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)0.000
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 score0.575
Threshold uncertainty score0.771

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.024
GPT teacher head0.293
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

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 designObservational
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

Citations3
Published2023
Admission routes2
Has abstractyes

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