{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T21:29:54Z","timestamp":1760131794133,"version":"3.40.4"},"reference-count":14,"publisher":"S. Karger AG","issue":"4","license":[{"start":{"date-parts":[[2006,1,1]],"date-time":"2006-01-01T00:00:00Z","timestamp":1136073600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.karger.com\/Services\/SiteLicenses"},{"start":{"date-parts":[[2006,1,1]],"date-time":"2006-01-01T00:00:00Z","timestamp":1136073600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.karger.com\/Services\/SiteLicenses"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Gynecol Obstet Invest"],"published-print":{"date-parts":[[2006]]},"abstract":"<jats:p>&lt;i&gt;Aims:&lt;\/i&gt; Identification of women at high risk of intra-twin birth weight discordance is helpful in obstetric care of these pregnancies. The aim of this study is to establish an intra-twin birth weight discordance prediction model. &lt;i&gt;Methods:&lt;\/i&gt; We created an intra-twin birth weight discordance prediction model by logistic regression, based on the 1995\u20131997 register twin birth data of the USA. The twin sets were randomly divided into two groups: group 1 to establish the prediction model and group 2 to validate the prediction model. Intra-twin birth weight discordance was defined as birth weight discordance &gt;25%. The prediction model was validated by receiver operating characteristic curve. &lt;i&gt;Results:&lt;\/i&gt; A birth weight discordance prediction model including maternal age (\u03b2 = 0.069), parity (\u03b2 = 0.250), fetal gender concordance (\u03b2 = 0.041), maternal hypertension (\u03b2 = 0.368), eclampsia (\u03b2 = 0.316), other medical complication (\u03b2 = 0.165), and smoking (\u03b2 = 0.164) was established, yielded a 0.558 area under the receiver operating characteristic curve. The sensitivity, specificity, and positive predictive values were 38.1, 69.7, and 10.8%, respectively, at the cut-off value of 0.09 in group 2. &lt;i&gt;Conclusion:&lt;\/i&gt; A birth weight discordance prediction model that includes seven variables available during pregnancy has been established with acceptable diagnostic performance.<\/jats:p>","DOI":"10.1159\/000093972","type":"journal-article","created":{"date-parts":[[2006,6,16]],"date-time":"2006-06-16T09:40:02Z","timestamp":1150450802000},"page":"186-192","source":"Crossref","is-referenced-by-count":9,"title":["Prediction of Intra-Twin Birth Weight Discordance by Binary Logistic Regression Analysis"],"prefix":"10.1159","volume":"62","author":[{"given":"Shi Wu","family":"Wen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongzhuan","family":"Tan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiuying","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark","family":"Walker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"127","published-online":{"date-parts":[[2006,11,15]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016%2FS0029-7844%2802%2903119-8"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016%2FS0029-7844%2800%2901079-6"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016%2FS0029-7844%2802%2901951-8"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1097%2F01.AOG.0000104060.37475.29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1055%2Fs-2007-999485"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016%2FS0029-7844%2800%2901085-1"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1159%2F000291901"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016%2FS0029-7844%2897%2900010-0"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1046%2Fj.1469-0705.2002.00866.x"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1067%2FS0002-9378%2803%2900714-2"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3109%2F00016349509008934"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016%2F0028-2243%2892%2990151-N"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1055%2Fs-2007-999410"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1097%2F01.AOG.0000104060.37475.29"}],"container-title":["Gynecologic and Obstetric Investigation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.karger.com\/Article\/Pdf\/93972","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.karger.com\/Article\/Pdf\/93972","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T02:26:54Z","timestamp":1745461614000},"score":1,"resource":{"primary":{"URL":"https:\/\/karger.com\/article\/doi\/10.1159\/000093972"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"references-count":14,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2006,11,1]]}},"URL":"https:\/\/doi.org\/10.1159\/000093972","archive":["Portico"],"relation":{},"ISSN":["0378-7346","1423-002X"],"issn-type":[{"type":"print","value":"0378-7346"},{"type":"electronic","value":"1423-002X"}],"subject":[],"published":{"date-parts":[[2006]]}}}