Bibliographic record
Abstract
Cancer-related anemia often develops from the infiltration of marrow by malignant cells, impaired hemoglobin (Hb) production related to chemotherapy or radiation therapy, iron deficiency, or low endogenous erythropoietin levels. Patients with cancer-related anemia may experience cognitive dysfunction including decreased mental alertness, poor concentration, and memory problems. Anemia-mediated cerebral hypoxia may cause symptoms such as headache, vertigo, tinnitus, and dizziness. These symptoms often are exacerbated in the elderly patient with cancer and related to underlying low Hb concentrations. Restoring Hb levels via the administration of iron supplements, blood transfusions, or, more recently, erythropoiesis-stimulating therapy (epoetin alfa) results in significant improvement of cognitive function. The use of epoetin alfa as a treatment option for patients with chemotherapy-associated anemia and an Hb concentration less than 10 g/dL has been recommended by the American Society of Clinical Oncology and the American Society of Hematology. Erythropoiesis-stimulating therapies are a promising treatment option for cancer-related anemia that may improve cognitive function and quality of life for patients with cancer.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".