Literature DB >> 2370827

Testing for fetal pulmonary maturity: ROC analysis involving covariates, verification bias, and combination testing.

M G Hunink1, D K Richardson, P M Doubilet, C B Begg.   

Abstract

The lecithin/sphingomyelin ratio (L/S) and the measured value of saturated phosphatidylcholine (SPC), amniotic fluid determinations obtained to assess fetal pulmonary maturity, were evaluated with receiver operating characteristic (ROC) curve analysis. The effects of covariates on the ROC curves were analyzed with a regression methodology that took into account all the available data when constructing an ROC curve for each subgroup. To correct for verification bias the authors used a logistic regression analysis to model the probability of verification, thereby permitting correction for verification bias of a fully stratified data set in spite of small cell frequencies. They examined combination testing with prediction rules using prospective logistic modeling, including as variables test results and clinical features. The L/S was found to be significantly better than SPC for assessing fetal pulmonary maturity. For older gestational age the L/S and SPC performed better than for younger gestational age. Contamination of the specimen degraded the ROC curves. Correcting for verification bias did not influence the ROC curves significantly but changed the cutoff value of the test variable for any particular operating point. Prediction rules to evaluate combination testing showed that obtaining the SPC level in addition to the L/S ratio added no significant information compared with the L/S only. Including gestational age in the prediction rule of either test improved the prediction.

Entities:  

Mesh:

Year:  1990        PMID: 2370827     DOI: 10.1177/0272989X9001000307

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  9 in total

1.  Lehmann family of ROC curves.

Authors:  Mithat Gönen; Glenn Heller
Journal:  Med Decis Making       Date:  2010-03-30       Impact factor: 2.583

Review 2.  Outcomes research and cost-effectiveness analysis in radiology.

Authors:  M G Hunink
Journal:  Eur Radiol       Date:  1996       Impact factor: 5.315

3.  The Screening Accuracy of the Parent and Teacher-Reported Social Responsiveness Scale (SRS): Comparison with the 3Di and ADOS.

Authors:  Jorieke Duvekot; Jan van der Ende; Frank C Verhulst; Kirstin Greaves-Lord
Journal:  J Autism Dev Disord       Date:  2015-06

4.  Direct estimation of the area under the receiver operating characteristic curve in the presence of verification bias.

Authors:  Hua He; Jeffrey M Lyness; Michael P McDermott
Journal:  Stat Med       Date:  2009-02-01       Impact factor: 2.373

5.  Diagnostic test evaluation methodology: A systematic review of methods employed to evaluate diagnostic tests in the absence of gold standard - An update.

Authors:  Chinyereugo M Umemneku Chikere; Kevin Wilson; Sara Graziadio; Luke Vale; A Joy Allen
Journal:  PLoS One       Date:  2019-10-11       Impact factor: 3.240

6.  Prediction of fetal lung immaturity using gestational age, patient characteristics and fetal lung maturity tests: a probabilistic approach.

Authors:  L D E Wijnberger; M de Kleine; H A M Voorbij; B Arabin; H W Bruinse; G H A Visser; P M M Bossuyt; B W J Mol
Journal:  Arch Gynecol Obstet       Date:  2009-04-19       Impact factor: 2.344

7.  Statistical methods to correct for verification bias in diagnostic studies are inadequate when there are few false negatives: a simulation study.

Authors:  Angel M Cronin; Andrew J Vickers
Journal:  BMC Med Res Methodol       Date:  2008-11-11       Impact factor: 4.615

8.  Estimating the Impact of Verification Bias on Celiac Disease Testing.

Authors:  Isabel A Hujoel; Claire L Jansson-Knodell; Philippe P Hujoel; Margaux L A Hujoel; Rok Seon Choung; Joseph A Murray; Alberto Rubio-Tapia
Journal:  J Clin Gastroenterol       Date:  2021-04-01       Impact factor: 3.174

9.  A panel of kallikrein markers can reduce unnecessary biopsy for prostate cancer: data from the European Randomized Study of Prostate Cancer Screening in Göteborg, Sweden.

Authors:  Andrew J Vickers; Angel M Cronin; Gunnar Aus; Carl-Gustav Pihl; Charlotte Becker; Kim Pettersson; Peter T Scardino; Jonas Hugosson; Hans Lilja
Journal:  BMC Med       Date:  2008-07-08       Impact factor: 8.775

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.