Removal of deferrals for variant Creutzfeldt–Jakob disease risk: Impact on new and previously deferred donors
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Concern over variant Creutzfeldt-Jakob disease (vCJD) led to the deferral of donors who had resided in the United Kingdom since January 1980. This deferral was implemented in 1999 and subsequently modified to include other countries. Some deferrals were removed in February 2022; deferrals for the United Kingdom, Ireland and France were removed on 22 November 2023. In this study, we describe efforts made to encourage donation from newly eligible people and the resulting donation gain. MATERIALS AND METHODS: Actions targeted individual donors deferred after 1 January 2012. Marketing included website, social media and general advertising. Staff asked first-time donors if the criteria change had motivated their donation. Deferred and returning donor data were determined from our donor database. RESULTS: In the 12 months post-implementation, 12.8% of first-time donors surveyed were newly eligible (n = 8667) and 7.8% of vCJD risk deferred donors returned (n = 5159). Eighty-five percent of deferrals occurred pre-2017; the return rate was 6.5% in this group. The highest return rate (24%) occurred in donors deferred after 2020. CONCLUSION: Removal of the vCJD deferrals had a major positive impact. The greatest gain was in new donors who had previously self-deferred. Despite intensive efforts, only one-quarter of recently deferred donors returned.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".