Carboplatin Induced Fatal Autoimmune Hemolytic Anemia: First Reported Case
Bibliographic record
Abstract
Carboplatin is an alkylating anti-neoplastic drug used in various cancers especially ovarian cancer, germ cell tumors, endometrial cancer besides others. We present a case of acute autoimmune hemolytic anemia during Carboplatin infusion in a patient previously exposed to the drug, resulting in the death of the patient. Published reports of Carboplatin induced autoimmune hemolytic anemia suggest these are usually nonfatal and improve after discontinuation of the drug. Fatal autoimmune hemolysis from Carboplatin has not been reported to the best of our knowledge. A 77-year-old Caucasian lady with history of endometrial adenocarcinoma was receiving treatment with a combination of Carboplatin and Paclitaxel for recurrent adenocarcinoma presenting as a pelvic mass. She tolerated similar chemotherapy previously, except for mild side effects. During her fifth cycle of chemotherapy with Carboplatin, she suddenly collapsed in the infusion center. Despite aggressive treatment, she expired within seven hours. A direct Coomb's test was found to be positive. Carboplatin dependent antibody was also detected. She was felt to have had a Carboplatin-induced fatal hemolytic anemia. Acute autoimmune hemolytic anemia with Carboplatin is rare but could be a devastating complication. A sudden drop in hemoglobin during Carboplatin infusion should alert clinicians of this extremely fatal possibility.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".