Raising Hemoglobin: An Opportunity for Increasing Survival?
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
Although the association between low hemoglobin levels and poorer outcomes in radiation oncology has long been recognized, anemia is often overlooked and untreated. However, a growing body of clinical evidence now indicates that low hemoglobin levels during radiation treatment are associated with decreased response and survival following radiotherapy. For example, a large Canadian retrospective study in patients receiving radical radiotherapy for cervical cancer showed that the 5-year survival rate was 19% higher in those whose hemoglobin during radiation treatment was =12 g/dl compared to those with levels <12 g/dl. The data suggest that clinical trials need to be performed to determine whether increasing hemoglobin levels leads to improved local control and survival. The mechanism by which low hemoglobin levels could cause poorer outcomes is not well understood and needs further elucidation. It is postulated that lower hemoglobin levels resulting in decreased oxygen carrying capacity may lead to increased tumor hypoxia, radiation resistance and increased tumor angiogenesis. The interrelationship of low hemoglobin levels, hypoxia, tumor angiogenesis and survival is explored in this article.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| 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 | 0.001 | 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 it