Ocular adverse events following <scp>CAR‐T</scp> cell therapy: A pharmacovigilance study and systematic review
Bibliographic record
Abstract
The rise of immuno-oncology, including the use of chimeric antigen receptor T-cell (CAR-T) therapy is bringing in a new wave of cancer treatments, particularly in hematologic malignancies. However, data on their adverse events, particularly of the eye, is under-reported. To assess the ocular adverse events associated with the six FDA-approved CAR-T cell therapies, a disproportionality analysis utilizing the FAERS database was conducted from the first quarter of 2017 to the third quarter of 2023, as well as a systematic review of case reports of ocular events following CAR-T cell therapy up to December 20, 2023. A total of 53 ocular adverse events were identified from the FDAs FAERS database. The adverse events most frequently observed were mydriasis and xerophthalmia with tisagenlecleucel (Kymriah). The systematic review resulted in 8 case reports encompassing 19 patients which included a total of 27 events. This study demonstrates the importance of anticipation of potential ocular adverse events by ophthalmologists and oncologists as they can greatly contribute to morbidity in 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 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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 teacher head, 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".