<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Yang X</submitter><funding>the real-world study of recurrent pregnancy loss in China</funding><funding>the Medical Innovation and Development Project of Lanzhou University</funding><pagination>381</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11218098</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>24(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/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.&lt;h4>Methods&lt;/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 </pubmed_abstract><journal>BMC women's health</journal><pubmed_title>Predicting risk of the subsequent early pregnancy loss in women with recurrent pregnancy loss based on preconception data.</pubmed_title><pmcid>PMC11218098</pmcid><funding_grant_id>lzuyxcx-2022-137</funding_grant_id><funding_grant_id>YJS-BD-19</funding_grant_id><pubmed_authors>Yang X</pubmed_authors><pubmed_authors>Zhang W</pubmed_authors><pubmed_authors>Yang Y</pubmed_authors><pubmed_authors>Wang R</pubmed_authors><pubmed_authors>Wang F</pubmed_authors></additional><is_claimable>false</is_claimable><name>Predicting risk of the subsequent early pregnancy loss in women with recurrent pregnancy loss based on preconception data.</name><description>&lt;h4>Background&lt;/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.&lt;h4>Methods&lt;/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 </description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Jul</publication><modification>2025-04-04T12:54:21.575Z</modification><creation>2025-04-04T12:54:21.575Z</creation></dates><accession>S-EPMC11218098</accession><cross_references><pubmed>38956627</pubmed><doi>10.1186/s12905-024-03206-9</doi></cross_references></HashMap>