{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T13:48:58Z","timestamp":1772891338515,"version":"3.50.1"},"reference-count":19,"publisher":"SAGE Publications","issue":"8","license":[{"start":{"date-parts":[[2021,7,7]],"date-time":"2021-07-07T00:00:00Z","timestamp":1625616000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Stat Methods Med Res"],"published-print":{"date-parts":[[2021,8]]},"abstract":"<jats:p>We conducted this study to determine whether fallopian tube anatomy can predict the likelihood of pregnancy and pregnancy outcomes after tubal sterilization reversal. We built a flexible, non-parametric, multivariate model via generalized additive models to assess the effects of the following tubal parameters observed during tubal reparative surgery: tubal lengths; differences in tubal segment location and diameters at the anastomosis sites; and fibrosis of the tubal muscularis. In this study, population, age, and tubal length\u2014in that order\u2014were the primary factors predicting the likelihood of pregnancy. For pregnancy outcomes, tubal length was the most influential predictor of birth and ectopic pregnancy, while age was the primary predictor of miscarriage. Segment location and diameters contributed slightly to the odds of miscarriage and ectopic pregnancy. Tubal muscularis fibrosis had little apparent effect. This study is the first to show that a statistical learning predictive model based on fallopian tube anatomy can predict pregnancy and pregnancy outcome probabilities after tubal reversal surgery.<\/jats:p>","DOI":"10.1177\/09622802211023543","type":"journal-article","created":{"date-parts":[[2021,7,7]],"date-time":"2021-07-07T15:23:47Z","timestamp":1625671427000},"page":"2004-2014","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Fallopian tube anatomy predicts pregnancy and pregnancy outcomes after tubal reversal surgery"],"prefix":"10.1177","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7207-4584","authenticated-orcid":false,"given":"Rafael S","family":"de Souza","sequence":"first","affiliation":[{"name":"Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6952-146X","authenticated-orcid":false,"given":"Gary S","family":"Berger","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynaecology, University of North Carolina at Chapel Hill, NC, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2021,7,7]]},"reference":[{"key":"bibr1-09622802211023543","first-page":"1","volume":"327","author":"Daniels K","year":"2018","journal-title":"NCHS Data Brief"},{"key":"bibr2-09622802211023543","first-page":"1","volume":"86","author":"Daniels K","year":"2015","journal-title":"NCHS Data Brief"},{"key":"bibr3-09622802211023543","doi-asserted-by":"publisher","DOI":"10.1177\/1066480799073008"},{"key":"bibr4-09622802211023543","doi-asserted-by":"publisher","DOI":"10.1016\/j.contraception.2005.08.006"},{"key":"bibr5-09622802211023543","doi-asserted-by":"publisher","DOI":"10.1093\/humrep\/dew038"},{"key":"bibr6-09622802211023543","doi-asserted-by":"publisher","DOI":"10.1016\/j.ascom.2015.04.002"},{"key":"bibr7-09622802211023543","doi-asserted-by":"publisher","DOI":"10.1093\/mnras\/stv1825"},{"key":"bibr8-09622802211023543","doi-asserted-by":"publisher","DOI":"10.1016\/j.ascom.2015.01.002"},{"key":"bibr9-09622802211023543","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781316459515"},{"key":"bibr10-09622802211023543","doi-asserted-by":"publisher","DOI":"10.2307\/2344614"},{"key":"bibr11-09622802211023543","volume-title":"Generalized additive models","author":"Hastie TJ","year":"1990"},{"key":"bibr12-09622802211023543","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v032.i10"},{"key":"bibr13-09622802211023543","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2016.1180986"},{"key":"bibr14-09622802211023543","unstructured":"Team R Development Core.\n                      R: A language and environment for statistical computing\n                      . 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