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Volumn 181, Issue 6, 1999, Pages 1414-1418

Prediction of delivery among women with early preterm labor by means of clinical characteristics alone

Author keywords

Prediction; Preterm delivery; Preterm labor

Indexed keywords

FIBRONECTIN;

EID: 0033390718     PISSN: 00029378     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0002-9378(99)70385-6     Document Type: Article
Times cited : (21)

References (12)
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  • 3
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    • Beta-mimetics in preterm labor: An overview of the randomized clinical trials
    • 3. King JF, Grant A, Keirse MJ, Chalmers I. Beta-mimetics in preterm labor: an overview of the randomized clinical trials. Br J Obstet Gynaecol 1988;95:211-22.
    • (1988) Br J Obstet Gynaecol , vol.95 , pp. 211-222
    • King, J.F.1    Grant, A.2    Keirse, M.J.3    Chalmers, I.4
  • 6
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    • Fetal fibronectin, interleukin-6, and C-reactive protein are useful in establishing prognostic subcategories of idiopathic preterm labor
    • 6. Burrus DR, Ernest JM, Veille JC. Fetal fibronectin, interleukin-6, and C-reactive protein are useful in establishing prognostic subcategories of idiopathic preterm labor. Am J Obstet Gynecol 1995;173:1258-62.
    • (1995) Am J Obstet Gynecol , vol.173 , pp. 1258-1262
    • Burrus, D.R.1    Ernest, J.M.2    Veille, J.C.3
  • 7
    • 0029964363 scopus 로고    scopus 로고
    • Fetal fibronectin in vaginal specimens predicts preterm delivery and very-low-birth-weight infants
    • 7. Bartnicki J, Casal D, Kreaden US, Saling E, Vetter K. Fetal fibronectin in vaginal specimens predicts preterm delivery and very-low-birth-weight infants. Am J Obstet Gynecol 1996;174:971-4.
    • (1996) Am J Obstet Gynecol , vol.174 , pp. 971-974
    • Bartnicki, J.1    Casal, D.2    Kreaden, U.S.3    Saling, E.4    Vetter, K.5
  • 8
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    • A comparison of multivariable mathematical methods for predicting survival - II. Statistical selection of prognostic variables
    • 8. Walter SD, Feinstein AR, Wells CK. A comparison of multivariable mathematical methods for predicting survival - II. Statistical selection of prognostic variables. J Clin Epidemiol 1990;43:349-59.
    • (1990) J Clin Epidemiol , vol.43 , pp. 349-359
    • Walter, S.D.1    Feinstein, A.R.2    Wells, C.K.3
  • 10
    • 0030069896 scopus 로고    scopus 로고
    • Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors
    • 10. Harrell FE Jr, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996;15:361-87.
    • (1996) Stat Med , vol.15 , pp. 361-387
    • Harrell F.E., Jr.1    Lee, K.L.2    Mark, D.B.3
  • 11
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    • A scientific approach to surgical reasoning: 1. Diagnostic accuracy
    • 11. Clarke J. A scientific approach to surgical reasoning: 1. Diagnostic accuracy. Theor Surg 1990;5:206-10.
    • (1990) Theor Surg , vol.5 , pp. 206-210
    • Clarke, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.