American College Catalog Study Database, 1975-2011

2013 ◽  
Author(s):  
Steven Brint
Keyword(s):  
College Catalog ◽  
Study Database

scholarly journals Prediction of anemia at delivery

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Enav Yefet ◽  
Avishag Yossef ◽  
Zohar Nachum
Keyword(s):  
Risk Factors ◽  
Operating Characteristic ◽  
Complete Blood Count ◽  
Characteristic Curve ◽  
Secondary Analysis ◽  
Area Under The Curve ◽  
Iron Supplement ◽  
Independent Risk Factors ◽  
Operating Characteristic Curve ◽  
Study Database

AbstractWe aimed to assess risk factors for anemia at delivery by conducting a secondary analysis of a prospective cohort study database including 1527 women who delivered vaginally ≥ 36 gestational weeks. Anemia (Hemoglobin (Hb) < 10.5 g/dL) was assessed at delivery. A complete blood count results during pregnancy as well as maternal and obstetrical characteristics were collected. The primary endpoint was to determine the Hb cutoff between 24 and 30 gestational weeks that is predictive of anemia at delivery by using the area under the curve (AUC) of the receiver operating characteristic curve. Independent risk factors for anemia at delivery were assessed using stepwise multivariable logistic regression. Hb and infrequent iron supplement treatment were independent risk factors for anemia at delivery (OR 0.3 95%CI [0.2–0.4] and OR 2.4 95%CI [1.2–4.8], respectively; C statistics 83%). Hb 10.6 g/dL was an accurate cutoff to predict anemia at delivery (AUC 80% 95%CI 75–84%; sensitivity 75% and specificity 74%). Iron supplement was beneficial to prevent anemia regardless of Hb value. Altogether, Hb should be routinely tested between 24 and 30 gestational weeks to screen for anemia. A flow chart for anemia screening and treatment during pregnancy is proposed in the manuscript.Trial registration: ClinicalTrials.gov Identifier: NCT02434653.

Safety of etanercept in an integrated multi-study database of patients with psoriasis

2004 ◽  
Vol 50 (3) ◽  
pp. P158
Author(s):  
Alice B. Gottlieb ◽  
Bernard Goffe ◽  
Joachim Veith ◽  
Seth Stevens
Keyword(s):  
Study Database

scholarly journals EWASdb: epigenome-wide association study database

2018 ◽  
Vol 47 (D1) ◽  
pp. D989-D993 ◽  
Author(s):  
Di liu ◽  
Linna Zhao ◽  
Zhaoyang Wang ◽  
Xu Zhou ◽  
Xiuzhao Fan ◽  
...  
Keyword(s):  
Association Study ◽  
Study Database

scholarly journals Appendix 1: EUA Case Study Database WHO Case Study Database

2020 ◽  
Vol 3 (A1) ◽  
pp. 1-114
Author(s):  
ISI-SENAI-CIMATEC Group
Keyword(s):  
United States ◽  
Clinical Trials ◽  
United States Of America ◽  
Study Database

This Appendix 1 presents the clinical trials against COVID-19 registered in WHO and clinicaltrials.gov by United States of America database.

scholarly journals Case Study: Database Management for Solid Waste Management Services

2017 ◽  
Vol 6 (3) ◽  
pp. 133-137 ◽  
Author(s):  
Tuangthong Patcharaprutipakorn ◽  
◽  
Direk Thongaraim ◽  
Nujcha Thatreenaranon
Keyword(s):  
Waste Management ◽  
Solid Waste ◽  
Database Management ◽  
Solid Waste Management ◽  
Study Database ◽  
Management Services
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