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For: Di Renzo GC, Tosto V, Giardina I. The biological basis and prevention of preterm birth. Best Pract Res Clin Obstet Gynaecol 2018;52:13-22. [PMID: 29703554 DOI: 10.1016/j.bpobgyn.2018.01.022] [Cited by in Crossref: 25] [Cited by in F6Publishing: 25] [Article Influence: 6.3] [Reference Citation Analysis]
Number Citing Articles
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5 Ran Y, He J, Peng W, Liu Z, Mei Y, Zhou Y, Yin N, Qi H. Development and validation of a transcriptomic signature-based model as the predictive, preventive, and personalized medical strategy for preterm birth within 7 days in threatened preterm labor women. EPMA Journal. [DOI: 10.1007/s13167-021-00268-9] [Reference Citation Analysis]
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11 Giarratano G, Bernard ML, Orlando S. Psychological First Aid: A Model for Disaster Psychosocial Support for the Perinatal Population. J Perinat Neonatal Nurs 2019;33:219-28. [PMID: 31335849 DOI: 10.1097/JPN.0000000000000419] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
12 Borkowski K, Newman JW, Aghaeepour N, Mayo JA, Blazenović I, Fiehn O, Stevenson DK, Shaw GM, Carmichael SL. Mid-gestation serum lipidomic profile associations with spontaneous preterm birth are influenced by body mass index. PLoS One 2020;15:e0239115. [PMID: 33201881 DOI: 10.1371/journal.pone.0239115] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
13 Khizroeva J, Bitsadze V, Tincani A, Makatsariya A, Arslanbekova M, Babaeva N, Tsibizova V, Shkoda A, Makatsariya N, Tretyakova M, Solopova A, Gadaeva Z, Vorobev A, Khamani I, Aslanova Z, Nakaidze I, Mischenko A, Grigoreva K, Kunesko N, Egorova E, Mashkova T. Hydroxychloroquine in obstetric antiphospholipid syndrome: rationale and results of an observational study of refractory cases. J Matern Fetal Neonatal Med 2021;:1-8. [PMID: 34044735 DOI: 10.1080/14767058.2021.1908992] [Reference Citation Analysis]
14 Ye CJ, Wu M, Chen SW, Yang XQ, Li HJ, Zhu SJ, Zhou FM, Hao Y. Association between periodontal indexes and biomarkers in gingival crevicular fluid and preterm birth in pregnancy: a nested case-control study. Hua Xi Kou Qiang Yi Xue Za Zhi 2021;39:58-63. [PMID: 33723938 DOI: 10.7518/hxkq.2021.01.009] [Reference Citation Analysis]
15 Teiri H, Samaei MR, Dehghani M, Azhdarpoor A, Hajizadeh Y, Mohammadi F, Kelishadi R. The association of prenatal exposure to benzophenones with gestational age and offspring size at birth. Environ Sci Pollut Res Int 2021. [PMID: 34826089 DOI: 10.1007/s11356-021-17634-9] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
16 Farrant BM, White SW, Shepherd CCJ. Trends and predictors of extreme preterm birth: Western Australian population-based cohort study. PLoS One 2019;14:e0214445. [PMID: 30913277 DOI: 10.1371/journal.pone.0214445] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 1.7] [Reference Citation Analysis]
17 Kolker S, Biringer A, Bytautas J, Blumenfeld H, Kukan S, Carroll JC. Pregnant during the COVID-19 pandemic: an exploration of patients' lived experiences. BMC Pregnancy Childbirth 2021;21:851. [PMID: 34972506 DOI: 10.1186/s12884-021-04337-9] [Reference Citation Analysis]
18 Kelley AS, Banker M, Goodrich JM, Dolinoy DC, Burant C, Domino SE, Smith YR, Song PXK, Padmanabhan V. Early pregnancy exposure to endocrine disrupting chemical mixtures are associated with inflammatory changes in maternal and neonatal circulation. Sci Rep 2019;9:5422. [PMID: 30931951 DOI: 10.1038/s41598-019-41134-z] [Cited by in Crossref: 36] [Cited by in F6Publishing: 34] [Article Influence: 12.0] [Reference Citation Analysis]
19 Ran Y, Huang D, Mei Y, Liu Z, Zhou Y, He J, Zhang H, Yin N, Qi H. Identification of the correlations between interleukin-27 (IL-27) and immune-inflammatory imbalance in preterm birth. Bioengineered 2021;12:3201-18. [PMID: 34224308 DOI: 10.1080/21655979.2021.1945894] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
20 Areia AL, Mota-pinto A. Inflammation and Preterm Birth: A Systematic Review. Reprod Med 2022;3:101-11. [DOI: 10.3390/reprodmed3020009] [Reference Citation Analysis]
21 Vladic Stjernholm Y, Vladic T, Marchini G. Progesterone Gel and Placebo Prolonged Pregnancy More Effectively Than Intravenous Tocolysis Alone in Women with Preterm Labor. Gels 2022;8:272. [DOI: 10.3390/gels8050272] [Reference Citation Analysis]
22 Khatibi T, Kheyrikoochaksarayee N, Sepehri MM. Analysis of big data for prediction of provider-initiated preterm birth and spontaneous premature deliveries and ranking the predictive features. Arch Gynecol Obstet 2019;300:1565-82. [PMID: 31650230 DOI: 10.1007/s00404-019-05325-3] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
23 Huang D, Ran Y, Liu Z, He J, Yin N, Qi H. IL-27 Mediates Pro-Inflammatory Effects via the ERK Signaling Pathway During Preterm Labor. Front Immunol 2021;12:709229. [PMID: 34691022 DOI: 10.3389/fimmu.2021.709229] [Reference Citation Analysis]
24 Pheiffer C, Dias S, Jack B, Malaza N, Adam S. Adiponectin as a Potential Biomarker for Pregnancy Disorders. Int J Mol Sci 2021;22:1326. [PMID: 33572712 DOI: 10.3390/ijms22031326] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
25 MacDorman MF, Thoma M, Declercq E, Howell EA. The relationship between obstetrical interventions and the increase in U.S. preterm births, 2014-2019. PLoS One 2022;17:e0265146. [PMID: 35353843 DOI: 10.1371/journal.pone.0265146] [Reference Citation Analysis]
26 FIGO Working Group on Good Clinical Practice in Maternal-Fetal Medicine. Good clinical practice advice: Prediction of preterm labor and preterm premature rupture of membranes. Int J Gynaecol Obstet 2019;144:340-6. [PMID: 30710365 DOI: 10.1002/ijgo.12744] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 3.3] [Reference Citation Analysis]
27 Dibo M, Ventimiglia MS, Valeff N, Serradell MDLÁ, Jensen F. An overview of the role of probiotics in pregnancy-associated pathologies with a special focus on preterm birth. Journal of Reproductive Immunology 2022. [DOI: 10.1016/j.jri.2022.103493] [Reference Citation Analysis]
28 Quantin C, Yamdjieu Ngadeu C, Cottenet J, Escolano S, Bechraoui-Quantin S, Rozenberg P, Tubert-Bitter P, Gouyon JB. Early exposure of pregnant women to non-steroidal anti-inflammatory drugs delivered outside hospitals and preterm birth risk: nationwide cohort study. BJOG 2021;128:1575-84. [PMID: 33590634 DOI: 10.1111/1471-0528.16670] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
29 Guo FF, Yang JX, Huang YL, Qi YM, Hou YP, Peng HS, Wang DM, Wang YX, Luo XH, Li Y, Yin AH. Association between fetal fraction at the second trimester and subsequent spontaneous preterm birth. Prenat Diagn 2019;39:1191-7. [PMID: 31600413 DOI: 10.1002/pd.5566] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
30 Di Renzo GC, Tosto V, Tsibizova V. Progesterone: History, facts, and artifacts. Best Pract Res Clin Obstet Gynaecol 2020;69:2-12. [PMID: 32943346 DOI: 10.1016/j.bpobgyn.2020.07.012] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
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32 Giannubilo SR, Licini C, Picchiassi E, Tarquini F, Coata G, Fantone S, Tossetta G, Ciavattini A, Castellucci M, Giardina I, Gesuita R, Marzioni D. First trimester HtrA1 maternal plasma level and spontaneous preterm birth. J Matern Fetal Neonatal Med 2020;:1-5. [PMID: 32102578 DOI: 10.1080/14767058.2020.1732345] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
33 Di Renzo GC, Tosto V, Tsibizova V, Fonseca E. Prevention of Preterm Birth with Progesterone. J Clin Med 2021;10:4511. [PMID: 34640528 DOI: 10.3390/jcm10194511] [Reference Citation Analysis]
34 Yamauchi T, Ochi D, Matsukawa N, Saigusa D, Ishikuro M, Obara T, Tsunemoto Y, Kumatani S, Yamashita R, Tanabe O, Minegishi N, Koshiba S, Metoki H, Kuriyama S, Yaegashi N, Yamamoto M, Nagasaki M, Hiyama S, Sugawara J. Machine learning approaches to predict gestational age in normal and complicated pregnancies via urinary metabolomics analysis. Sci Rep 2021;11:17777. [PMID: 34493809 DOI: 10.1038/s41598-021-97342-z] [Reference Citation Analysis]
35 Monsivais LA, Sheller-Miller S, Russell W, Saade GR, Dixon CL, Urrabaz-Garza R, Menon R. Fetal membrane extracellular vesicle profiling reveals distinct pathways induced by infection and inflammation in vitro. Am J Reprod Immunol 2020;84:e13282. [PMID: 32506769 DOI: 10.1111/aji.13282] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 0.5] [Reference Citation Analysis]