Donor deferral policies for men who have sex with men: where are we today?
Bibliographic record
Abstract
PURPOSE OF REVIEW: The review summarizes recent publications on the contentious issue of donor deferral criterion for men who have sex with men (MSM). RECENT FINDINGS: Recent studies from the United States and China demonstrated that MSM is still a frequent risk factor for HIV-positive donors. Noncompliance is an important factor in the overall risk of HIV transmission but does not appear to be affected by the length of the deferral period. A major US study found a 2.6% noncompliance rate with the current indefinite deferral for MSM; similar or lower rates were found in other jurisdictions with shorter deferral periods. Several countries have had a defined deferral period of 1 year or 5 years in place long enough to determine that increases in HIV-positive cases predicted by modeling studies did not actually occur, suggesting that the assumptions made in these models are overly conservative. SUMMARY: In summary, MSM eligibility policies are slowly changing around the world, with the US FDA now permitting a 1-year deferral. Transparency, involvement of stakeholders, and careful evaluation of risk and societal benefit should be part of future policy discussions on this issue.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".