Low‐dose prophylactic platelet transfusions in recipients of an autologous peripheral blood progenitor cell transplant and patients with acute leukemia: a randomized controlled trial with a sequential Bayesian design
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Prophylactic platelet (PLT) transfusions are standard treatment for patients receiving high-dose chemotherapy, but the optimal dose is not known. A randomized controlled trial was undertaken to examine the effectiveness of low-dose PLT transfusions and to determine the need for further studies. STUDY DESIGN AND METHODS: Patients (n = 111) with acute leukemia or undergoing autologous peripheral blood progenitor cell (PBPC) transplantation were randomly assigned to receive low-dose (3 PLT units) or standard-dose (5 PLT units) prophylactic PLT transfusions and were monitored daily for bleeding. Using a sequential Bayesian design, the difference in major bleeding events was determined. RESULTS: The percentage of patients with major bleeding events was 10.7 percent (95% credible region, 5.1%-21.2%) in the low-dose PLT group and 7.3 percent (95% credible region, 2.9%-17.2%) in the standard-dose PLT group. The two additional events in the low-dose group occurred when the PLT count exceeded 100 x 10(9) per L. There is an 89 percent probability that the absolute increase in major bleeds is less than 10 percent with low-dose PLT transfusions. The number of minor bleeding events was higher in the standard-dose group. Patients receiving low-dose PLT transfusions received 25 percent fewer PLT units. There was an 89 percent probability that low-dose transfusions reduced PLT utilization in patients with acute leukemia and a 60 percent probability in patients undergoing PBPC transplantation. CONCLUSION: Low-dose PLT transfusions appear to be safe and effective and reduce PLT utilization. They should be further evaluated in clinical trials designed to evaluate equivalency.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 it