Identification of the CD34 enumeration on the day before stem cell harvest that best predicts poor mobilization
Bibliographic record
Abstract
BACKGROUND: We questioned whether CD34 enumeration in peripheral blood on the day before planned collection would identify a patient population that could benefit from an augmented collection strategy during that mobilization attempt. STUDY DESIGN AND METHODS: A retrospective review of all adult patients who underwent a first mobilization attempt between January and December 2008 for autologous use was undertaken. Peripheral blood CD34 quantitation on the day before planned collection (Day -1) and day of planned collection (Day 0) was correlated with likelihood of a successful collection. RESULTS: Of 41 patients (15 with multiple myeloma, 20 with lymphoma, and six with other malignancies) who underwent mobilization 24 patients (58%) were harvested in 1 day (good mobilizers) with the remaining 17 patients (42%) either requiring more than 1 day to collect or were not collected (poor mobilizers [PMs]). A peripheral blood CD34+ count below 10 × 10(6) /L on Day -1 was optimal in identifying PMs (adjusted odds ratio of 7 [1.4-35]). Increasing the CD34 cutoff from 10 × 10(6) to 15 × 10(6) /L decreased the prediction of poor mobilization (positive likelihood ratio dropped from 3.3 to 2.2). CONCLUSION: Peripheral blood CD34 content of less than or equal to 10 × 10(6) CD34+ cells/L on the day before collection is predictive of poor mobilization whereas higher peripheral blood CD34 counts on Day -1 have a high likelihood of successful 1-day collection.
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 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) | 0.000 | 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".