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Predicting adverse pregnancy outcomes of pregnant mothers with syphilis based on a logistic regression model: a retrospective study.
Zhang, Yu-Wei; Liu, Man-Yu; Yu, Xing-Hao; He, Xiu-Yu; Song, Wei; Liu, Xiao; Ma, Ya-Na.
Afiliación
  • Zhang YW; Department of Child and Adolescent Health and Social Medicine, School of Public Health, Medical College of Soochow University, Suzhou, China.
  • Liu MY; Department of Child and Adolescent Health and Social Medicine, School of Public Health, Medical College of Soochow University, Suzhou, China.
  • Yu XH; Department of Child and Adolescent Health and Social Medicine, School of Public Health, Medical College of Soochow University, Suzhou, China.
  • He XY; Suzhou Maternal and Child Health Care Family Planning Service Center, Suzhou, China.
  • Song W; Department of Child and Adolescent Health and Social Medicine, School of Public Health, Medical College of Soochow University, Suzhou, China.
  • Liu X; Department of Science and Education, The Affiliated Infectious Diseases Hospital of Soochow University, The Fifth People's Hospital of Suzhou, Suzhou, China.
  • Ma YN; Department of Child and Adolescent Health and Social Medicine, School of Public Health, Medical College of Soochow University, Suzhou, China.
Front Public Health ; 11: 1201162, 2023.
Article en En | MEDLINE | ID: mdl-37780444
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Complicaciones Infecciosas del Embarazo / Sífilis Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Pregnancy Idioma: En Revista: Front Public Health Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Complicaciones Infecciosas del Embarazo / Sífilis Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Pregnancy Idioma: En Revista: Front Public Health Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza