Relationship Between Hemoglobin Levels and Quality of Life During Radiation Therapy Plus Concomitant or Sequential Chemotherapy in Patients With Cancer and Anemia Treated With Epoetin Alfa
Bibliographic record
Abstract
This study in patients with cancer and anemia, who were receiving chemoradiation and were treated with epoetin alfa, examined the relationship between hemoglobin level and quality of life (QOL), change in hemoglobin and change in QOL, and incremental (1 g/dL) increase in hemoglobin and related incremental improvement in QOL. Data from a multicenter, open-label, prospective study of once-weekly epoetin alfa therapy in anemic cancer patients receiving chemoradiation were used to retrospectively evaluate the relationship between hemoglobin changes and QOL changes via correlation and longitudinal analyses. A sample selection correction method was used to ensure unbiased results. QOL (energy, activity, overall QOL) was measured using the Linear Analog Scale Assessment. An incremental analysis determined the greatest incremental increase in QOL associated with a 1 g/dL increase in hemoglobin level. Of the 777 patients enrolled, 464 met chemotherapy and radiotherapy eligibility criteria. Of these, 359 (77%) underwent two QOL assessments and were eligible for analysis. A nonlinear and statistically significant positive correlation was found between hemoglobin levels and Linear Analog Scale Assessment QOL scores (r = 0.32 [energy], 0.33 [activity], and 0.29 [overall QOL]; P < .0001). An incremental analysis used regression methods to characterize the changes in hemoglobin levels and QOL scores. Hemoglobin change was found to be a statistically significant determinant of QOL changes (P < .05). The greatest incremental QOL gain associated with a 1-g/dL change in hemoglobin occurred around hemoglobin 12 g/dL (range, 11-13 g/dL). A direct relationship exists between hemoglobin increases and corresponding QOL increases. Maximal incremental gain in QOL occurred when hemoglobin was approximately 12 g/dL (range, 11-13 g/dL).
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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 | 0.004 |
| 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 | 0.001 |
| 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 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".