{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Yang X"],"funding":["the real-world study of recurrent pregnancy loss in China","the Medical Innovation and Development Project of Lanzhou University"],"pagination":["381"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11218098"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["24(1)"],"pubmed_abstract":["<h4>Background</h4>For women who have experienced recurrent pregnancy loss (RPL), it is crucial not only to treat them but also to evaluate the risk of recurrence. The study aimed to develop a risk predictive model to predict the subsequent early pregnancy loss (EPL) in women with RPL based on preconception data.<h4>Methods</h4>A prospective, dynamic population cohort study was carried out at the Second Hospital of Lanzhou University. From September 2019 to December 2022, a total of 1050 non-pregnant women with RPL were participated. By December 2023, 605 women had subsequent pregnancy outcomes and were randomly divided into training and validation group by 3:1 ratio. In the training group, univariable screening was performed on RPL patients with subsequent EPL outcome. The least absolute "],"journal":["BMC women's health"],"pubmed_title":["Predicting risk of the subsequent early pregnancy loss in women with recurrent pregnancy loss based on preconception data."],"pmcid":["PMC11218098"],"funding_grant_id":["lzuyxcx-2022-137","YJS-BD-19"],"pubmed_authors":["Yang X","Zhang W","Yang Y","Wang R","Wang F"],"additional_accession":[]},"is_claimable":false,"name":"Predicting risk of the subsequent early pregnancy loss in women with recurrent pregnancy loss based on preconception data.","description":"<h4>Background</h4>For women who have experienced recurrent pregnancy loss (RPL), it is crucial not only to treat them but also to evaluate the risk of recurrence. The study aimed to develop a risk predictive model to predict the subsequent early pregnancy loss (EPL) in women with RPL based on preconception data.<h4>Methods</h4>A prospective, dynamic population cohort study was carried out at the Second Hospital of Lanzhou University. From September 2019 to December 2022, a total of 1050 non-pregnant women with RPL were participated. By December 2023, 605 women had subsequent pregnancy outcomes and were randomly divided into training and validation group by 3:1 ratio. In the training group, univariable screening was performed on RPL patients with subsequent EPL outcome. The least absolute ","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Jul","modification":"2025-04-04T12:54:21.575Z","creation":"2025-04-04T12:54:21.575Z"},"accession":"S-EPMC11218098","cross_references":{"pubmed":["38956627"],"doi":["10.1186/s12905-024-03206-9"]}}