Immune Checkpoint Inhibitor Exposure in Pregnancy: A Scoping Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Since their approval, immune checkpoint inhibitors (ICIs) have become the standard of care for multiple malignancies. ICIs enhance tumor destruction by blocking important immunomodulatory pathways that regulate T-cell activation. These pathways include programmed cell death protein-1 and its ligands (programmed cell death protein-1 and programmed death ligand-1, respectively) and cytotoxic T-lymphocyte-associated protein 4. While blocking these pathways can enhance tumor destruction, these pathways are critical for the development of maternal tolerance towards the fetus. Therefore, if ICIs disrupt these immunomodulatory pathways, there could be a maternal immune response against the fetus, as was found in animal studies. With few reported cases of human pregnancy exposure to ICIs, the effects of ICIs on human pregnancy remain largely unknown. Here, we review and summarize the 6 cases of maternal exposure to immunotherapy that have been published before the present study. To add to the evidence, we present a case series of 2 patients who have been exposed to immunotherapy in pregnancy.
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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 | 0.001 | 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) | 0.001 | 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 it