Seven-Year Single-Center Experience of the Efficacy and Safety of Ferric Carboxymaltose in Cancer Patients with Iron-Deficiency Anemia
Bibliographic record
Abstract
Anemia remains an essential concern affecting the quality of life and the survival of cancer patients. Although there are different approaches to treating anemia in cancer patients, the number of studies reporting the efficacy of iron replacement in cancer patients is limited. In this study, the efficacy and safety of iron carboxymaltose, a parenteral iron treatment option, in the treatment of anemia, were examined retrospectively. A total of 1102 adult patients who received IV ferric carboxymaltose treatment at Hacettepe Oncology Hospital between 2014 and 2020 were included. The mean hemoglobin change observed at the end of the 12th week was 1.8 g/dL, and the rate of patients with an increase in hemoglobin of 1 g/dL or more was 72.1%. It was observed that the treatment demonstrated effectiveness in patients receiving active cancer treatment in all tumor types. The treatment was generally safe, and no grade 3-5 side effects were observed in the patients included in the study. According to one of the most extensive series published in the literature, iron carboxymaltose is an efficient and safe alternative for cancer patients with iron-deficiency anemia.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".