Transfusion of Sickle Cell Anemia Patients in Quebec: Challenges and Opportunities
Bibliographic record
Abstract
Abstract Background: The Black population is the largest visible minority in Quebec, comprising approximately 250,000 people (3%). But their needs per capita in red blood cells transfusions are much higher relative to the whole population for comparable age groups. The reason is the incidence of sickle cell anemia patients necessitating regular transfusions, especially those under an erythrapheresis exchange protocol. An extensive program to sensitize the Black community regarding the importance of blood donation was launched in 2010, yet we are still far from attaining the goals set in terms of units collected within the Black community. This leads to an ongoing significant burden especially on Rh negative Caucasian blood donors. Challenges to overcome are deferral for higher prevalence of Hb level below 12.5g/100ml (26%) among black women along with iron depletion Design and methods: Health Canada has accepted a lower Hb criteria for black women of 11.5g/100ml coupled with a program of ferritin monitoring and iron replacement. Since launching the program in August 2015, 553 black women have registered to participate. The % of women with ferritin level Future directions: Ina recent Issue of Transfusion, M.Goldman also reported that 20% of Canadian female donors are iron depleted despite meeting the qualification criteria of 12.5gm Hb/100ml. These observations, similar across ethnic origins, are now challenging the blood community about possible negative impacts on both donors and recipients. Consequently, we are planning to accumulate more data through our current program aimed at black female donors, and determine the feasibility and effectiveness of extending an iron replacement protocol to all female donors of childbearing age. We are namely planning to step up efforts to enhance iron intake regimen compliance to a more beneficial level. Disclosures No relevant conflicts of interest to declare.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".