[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"early-pregnancy\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:early-pregnancy":27},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,4,0,[8,53,83,110],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":20,"enrollmentInfo":21,"targetDuration":4,"studyType":24,"phases":4,"briefSummary":25,"conditions":26,"keywords":32,"overallStatus":40,"whyStopped":4,"lastUpdateSubmitDate":41,"lastUpdatePostDateStruct":42,"startDateStruct":45,"completionDateStruct":47,"leadSponsor":49,"locationsCount":52},"100620469","early-preg-a-preconception-cohort-study-based-on-counterfactuals-to-study-maternal-embryonic-molecular-interactions-100620469",false,"NCT07358026","EARLY-PREG: A Preconception Cohort Study Based on Counterfactuals to Study Maternal-Embryonic Molecular Interactions","EARLY-PREG: A Preconception, Longitudinal, Bidirectional, and Counterfactual Cohort Study of Women Seeking Pregnancy, Designed to Investigate Maternal-Embryonic Molecular Interactions During the Peri-implantation Window","EARLY-PREG","Inclusion criteria:\n\n* being between 18 and 40 years of age\n* not being pregnant\n* normal colposcopy\n* body mass index (BMI) between 18 and 29\n* regular menstrual cycles (21-35 days)\n* absence of chronic diseases (hypertension, diabetes mellitus, cancer, depression, personality disorder, thyroid pathology, polycystic ovary syndrome, or hyperprolactinemia).\n* If seeking pregnancy, they were included if their partners were males between 18 and 40 years old, without pathologies (diabetes mellitus, depression, personality disorder, or cancer), were not taking chronic medication, without erectile disorders, BMI between 18 and 29.9, moderate alcohol use, and with no recreational drug use.\n\nExclusion criteria:\n\n* pregnant women\n* history of alcoholism\n* infertility treatment\n* endometriosis\n* pelvic inflammatory disease\n* pelvic surgery\n* allergy to latex or silicone\n* If seeking pregnancy, they were excluded if their partners were working in contact with pesticides, or with history of erectile dysfunction, or history of mumps in adulthood, or with chronic diseases, or with psychological problems.",true,"FEMALE","18 Years","40 Years",{"count":22,"type":23},223,"ESTIMATED","OBSERVATIONAL","EARLY-PREG is an open-cohort clinical study with a preconception, longitudinal, bidirectional and counterfactual design. The aim of this cohort is to investigate the proteomic signatures of maternal-embryonic communication by interrogating a growing biorepository of maternal fluids and tissues collected during the first two weeks after fertilisation.\n\nParticipants in the EARLY-PREG cohort consist of healthy couples seeking pregnancy, as well as women who are not seeking to conceive. The three main outcomes in the cohort are defined according to menstrual cycles in which conception is achieved and those in which conception is not achieved. Their clinical definitions are as follows:\n\n* Pregnancy with a full-term live birth refers to the cycle in which the ovum is fertilised, leading to pregnancy, with beta-hCG levels above the clinical threshold for a positive pregnancy test.\n* Early pregnancy loss refers to a miscarriage up to 12 6\u002F7 weeks.\n* Non-pregnancy refers to a menstrual cycle in which conception does not occur, confirmed by a clinically negative beta-hCG test. When referring to the same individual, this is, by definition, considered the counterfactual to the corresponding conception cycle.",[27,28,29,30,31],"Early Pregnancy","Early Pregnancy Loss","Childbirth","Healthy","Pregnancy",[33,34,35,36,37,38,39],"longitudinal study","counterfactual design","embryo-mother crosstalk","biorepository","maternal fluids","menstrual cycle","preconception open cohort","RECRUITING","2026-04-24",{"date":43,"type":44},"2026-04-29","ACTUAL",{"date":46,"type":44},"2017-07-11",{"date":48,"type":23},"2027-12",{"name":50,"class":51},"MELISA Institute Genomics & Proteomics Research SpA","INDUSTRY",1,{"id":54,"slug":55,"hasResults":11,"nctId":56,"briefTitle":57,"officialTitle":57,"acronym":58,"eligibilityCriteria":59,"healthyVolunteers":11,"sex":18,"minAge":60,"maxAge":4,"enrollmentInfo":61,"targetDuration":4,"studyType":63,"phases":64,"briefSummary":66,"conditions":67,"keywords":68,"overallStatus":40,"whyStopped":4,"lastUpdateSubmitDate":73,"lastUpdatePostDateStruct":74,"startDateStruct":76,"completionDateStruct":78,"leadSponsor":80,"locationsCount":52},"100608156","conversational-ai-platform-for-early-pregnancy-care-city-wide-recruitment-a-feasibility-study-100608156","NCT07197892","Conversational AI Platform for Early Pregnancy Care City-wide Recruitment: A Feasibility Study","CIRCA","Inclusion Criteria:\n\n* Willing and able to provide informed consent\n* Access to a working mobile phone\n* Ability to read English\n* Pregnant with a gestational age less than 12 weeks, 6 days by last menstrual period or by ultrasound, or per patient self-report\n\nExclusion Criteria: N\u002FA","15 Years",{"count":62,"type":23},2637,"INTERVENTIONAL",[65],"NA","This study seeks to determine pregnant patients in the Philadelphia area can be recruited to a conversational AI texting platform. The trial will be considered feasible if recruitment goals are met in proportion to delivery volume at the hospital.",[27],[69,70,71,72],"Early pregnancy loss","Miscarriage","Prenatal care","Abortion","2026-04-22",{"date":75,"type":44},"2026-04-23",{"date":77,"type":44},"2026-04-06",{"date":79,"type":23},"2027-09",{"name":81,"class":82},"University of Pennsylvania","OTHER",{"id":84,"slug":85,"hasResults":11,"nctId":86,"briefTitle":87,"officialTitle":88,"acronym":89,"eligibilityCriteria":90,"healthyVolunteers":11,"sex":18,"minAge":19,"maxAge":91,"enrollmentInfo":92,"targetDuration":4,"studyType":63,"phases":94,"briefSummary":95,"conditions":96,"keywords":4,"overallStatus":40,"whyStopped":4,"lastUpdateSubmitDate":101,"lastUpdatePostDateStruct":102,"startDateStruct":104,"completionDateStruct":106,"leadSponsor":108,"locationsCount":52},"100575087","effectiveness-of-a-lifestyle-intervention-for-pregnant-women-with-abnormal-glucose-metabolism-in-early-pregnancy-eagm-trial-100575087","NCT06767722","Effectiveness of a Lifestyle Intervention for Pregnant Women With Abnormal Glucose Metabolism in Early Pregnancy: EAGM Trial","Effectiveness of a Lifestyle Intervention for Pregnant Women With Abnormal Glucose Metabolism in Early Pregnancy: EAGM Randomized Controlled Trial","EAGM","Inclusion Criteria:\n\n* Over 18 years of age.\n* Able to provide informed consent.\n* Confirmed viable pregnancy on a nuchal translucency scan done between 11+0 and 13+6 weeks.\n* Singleton pregnancies.\n* An abnormal glucose metabolism determined by a blood test performed before 14 weeks, defined as FPG 5.1-6.9mmol\u002FL and\u002For HbA1c 5.7-6.4%.\n\nExclusion Criteria:\n\n* Pregestational diabetes (diagnosed as diabetes mellitus before pregnancy, or FPG≥7.0mmol\u002FL, or HbA1c≥6.5% at the first prenatal visit), impaired fasting glucose or impaired glucose tolerance diagnosed before pregnancy.\n* Plan for termination of pregnancy due to fetal anomaly identified at the first trimester scan.\n* Use of medications known to interfere with glucose metabolism (e.g. corticosteroids, antipsychotic drugs) at the time of randomisation.\n* Any other physical (serious medical conditions such as cancer, organ failure, epilepsy, paraplegia, disability) or psychological condition (e.g. learning difficulties, serious mental illness) that is likely to interfere with the conduct of the trial according to evaluation by the trial monitoring group.\n* Women currently with hyperemesis gravidarum leading to dehydration or requiring hospitalization. If persisting vomiting resolves, the patient may be reassessed for inclusion in the trial up to and including 14+6 weeks of gestation, providing all other inclusion and exclusion criteria are met.","55 Years",{"count":93,"type":23},3430,[65],"This is a multicentre, parallel-group, open-label, pragmatic, randomised-control trial of early lifestyle intervention versus routine prenatal care by random allocation (1:1) in women with early abnormal glucose metabolism (EAGM) to compare the incidence of large-gestational age and preterm birth between two groups. The investigators aim to assess the effectiveness of early lifestyle interventions and to provide evidence for the optimal standard management for Chinese women with EAGM.",[27,97,98,99,100],"Fasting Plasma Glucose","Hemoglobin A1c Protein, Human","Lifestyle Intervention","Adverse Pregnancy Outcomes","2025-06-25",{"date":103,"type":44},"2025-07-01",{"date":105,"type":44},"2025-04-16",{"date":107,"type":23},"2027-06-30",{"name":109,"class":82},"First Affiliated Hospital, Sun Yat-Sen University",{"id":111,"slug":112,"hasResults":11,"nctId":113,"briefTitle":114,"officialTitle":115,"acronym":4,"eligibilityCriteria":116,"healthyVolunteers":17,"sex":18,"minAge":117,"maxAge":4,"enrollmentInfo":118,"targetDuration":4,"studyType":24,"phases":4,"briefSummary":120,"conditions":121,"keywords":122,"overallStatus":40,"whyStopped":4,"lastUpdateSubmitDate":125,"lastUpdatePostDateStruct":126,"startDateStruct":128,"completionDateStruct":130,"leadSponsor":132,"locationsCount":5},"100516276","quality-control-of-ultrasound-images-during-early-pregnancy-via-ai-100516276","NCT06002412","Quality Control of Ultrasound Images During Early Pregnancy Via AI","Deep Learning-based Quality Control of Ultrasound Images During Early Pregnancy","Inclusion Criteria:\n\n* Women in early pregnancy who have detailed personal information and ultrasound images.\n* The ultrasound images should clearly show the fetus's median sagittal, NT, and choroid plexus views.\n\nExclusion Criteria:\n\n* Ultrasound images from women in mid to late pregnancy.\n* Ultrasound images that are unclear or blurry, making evaluation difficult.\n* Women who did not provide complete personal and medical information during the ultrasound scan.","20 Years",{"count":119,"type":23},400,"This research integrates artificial intelligence to enhance early pregnancy ultrasonography quality control, focusing on specific fetal sections. In collaboration with prominent medical institutions, the investigators have amassed extensive fetal ultrasound data. The investigators aim to develop a deep learning model that can accurately identify essential anatomical areas in ultrasound images and evaluate their quality. This tool is expected to significantly decrease misdiagnoses of conditions like Down Syndrome and neural system deformities by ensuring real-time image quality assessment.",[27],[27,123,124],"Ultrasound","Quality Control","2023-09-06",{"date":127,"type":44},"2023-09-08",{"date":129,"type":44},"2023-09-01",{"date":131,"type":23},"2028-07-30",{"name":133,"class":134},"Chinese Academy of Sciences","OTHER_GOV"]