Effects of chemotherapy during pregnancy on the maternal and fetal heart
Bibliographic record
Abstract
OBJECTIVE: The co-occurrence of cancer and pregnancy is more frequently diagnosed. The effects of cancer treatment on maternal and fetal outcomes are less well known. The cardiotoxic effects of chemotherapy are a specific concern for the mother and fetus. We wanted to review the existing literature, mainly consisting of case reports, case studies, and retrospective data. RESULTS: Maternal effects Overall, the published data indicate that pregnancy is not an independent risk factor influencing cancer survival. There is no indirect evidence for an increased risk for maternal chemotherapy-related cardiotoxicity. Fetal effects During the first trimester chemotherapy needs to be avoided because of teratogenic risks. The risks of chemotherapy during the second and third trimester are more controversial. It has been associated with intrauterine growth restriction and preterm delivery in some studies, while others did not find the same effect. Cardiotoxic fetal effects have been reported despite the limited transplacental passage of chemotherapy. In most patients this was transient and long-term data are generally reassuring. CONCLUSION: A specific strategy for monitoring fetal and maternal chemotherapy-induced cardiotoxicity is suggested. Prospective data are needed on the long-term effects of chemotherapy in both mother and child.
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 | 0.000 | 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 | 0.000 |
| 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".