Assisted Reproductive Technology as Predictor for Preeclampsia: A Systematic Review of Current Clinical Prediction Models.
- DOI
- 10.1007/s43032-026-02168-7
- Published
- 2026 Sep 15
- Container
- Reproductive sciences (Thousand Oaks, Calif.)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s43032-026-02168-7,
title = {Assisted Reproductive Technology as Predictor for Preeclampsia: A Systematic Review of Current Clinical Prediction Models.},
author = {Lafeber GCM and van der Hoorn MP and le Cessie S and Lashley EELO},
year = {2026},
journal = {Reproductive sciences (Thousand Oaks, Calif.)},
doi = {10.1007/s43032-026-02168-7},
url = {https://doi.org/10.1007/s43032-026-02168-7}
}RIS
TY - JOUR TI - Assisted Reproductive Technology as Predictor for Preeclampsia: A Systematic Review of Current Clinical Prediction Models. AU - Lafeber GCM AU - van der Hoorn MP AU - le Cessie S AU - Lashley EELO PY - 2026 JO - Reproductive sciences (Thousand Oaks, Calif.) DO - 10.1007/s43032-026-02168-7 UR - https://doi.org/10.1007/s43032-026-02168-7 ER -
APA
GCM, L., MP, V. D. H., S, L. C., & EELO, L. (2026). Assisted Reproductive Technology as Predictor for Preeclampsia: A Systematic Review of Current Clinical Prediction Models.. Reproductive sciences (Thousand Oaks, Calif.). https://doi.org/10.1007/s43032-026-02168-7
Source records
- pubmed · retrieved 2026-09-26T06:00:24.172Z