Characterizing Hematological Changes Following Repeated Exposure to Non-Targeted Low-Dose Ionizing Radiation in Prostate Cancer Patients
Bibliographic record
Abstract
The duration and magnitude of haematological changes following non-targeted low-dose radiation have not been well explored. We previously reported that low-dose radiation (150 mGy 2x/week for 5 consecutive weeks) was well tolerated by participants (n = 15) with minimal toxicities and no changes in quality of life. Leukocytes, platelets and erythrocytes decreased from baseline measurement 12 months following treatment, however changes were not clinically significant. T-cells, NK-cells, B-cells and neutrophils were found to decrease during treatment and return to baseline levels by 3 months. The monocyte activation marker CD64 (FcγRI) was lower in participants whose cancer did not progress during the 12 month study follow up period, potentially giving insights into a biomarker of treatment success. Herein, we provide one of the most detailed descriptions of hematologic changes during low dose radiation treatment and during one year follow up. Low-dose radiation was associated with minor hematologic changes that mostly resolved by 3 months. (Clinical Trial Registered with the United States National Library of Medicine and National Institutes of Health under the title 'Low Dose Hemi-Body Radiation for Recurrent Prostate Cancer'; ID: NCT03196778).
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".