A non‐invasive oral rinse assay predicts bone marrow engraftment and 6 months prognosis following allogeneic hematopoietic stem cell transplantation
Bibliographic record
Abstract
BACKGROUND: We have previously shown in a pediatric Hematopoietic stem cell transplant (HSCT) population that a non-invasive oral rinse can be used to monitor engraftment, neutrophil tissue delivery and susceptibility to infection post-HSCT. METHODS: Using the same oral rinse protocol, we studied neutrophil tissue delivery kinetics and its relationship to clinical parameters and outcomes following HSCT in 29 adult patients. Oral neutrophil counts were compared to circulating neutrophil levels, oral mucositis scores and patient health status at 6 months post-HSCT. RESULTS: Neutrophils were detected on average 8.4 ± 3.4 SD days earlier in the oral tissues than in the blood circulation, enabling us to confirm successful engraftment more than one week earlier than when using blood neutrophil counts alone. As well, in this population the time-span between oral engraftment (OE) and blood engraftment (BE) was a consistent predictor of treatment outcome at 6 months following HSCT where a BE-OE of <6 days resulted in 100% of patients having a negative outcome. CONCLUSION: We conclude that monitoring the timing of neutrophil delivery to the oral tissues with a non-invasive oral rinse has the potential to allow the physician to identify those patients who are at a high risk of HSCT failure within just a few weeks of the initiation of treatment.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".