{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T07:21:58Z","timestamp":1790493718757,"version":"4.1.0"},"reference-count":50,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2021,11,30]],"date-time":"2021-11-30T00:00:00Z","timestamp":1638230400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100004571","name":"Minist\u00e8re des Affaires Sociales et de la Sant\u00e9","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004571","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["obgyn.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["BJOG"],"published-print":{"date-parts":[[2022,5]]},"abstract":"<jats:sec><jats:title>Objective<\/jats:title><jats:p>To compare the performance of estimated fetal weight (EFW) charts at the third trimester ultrasound for detecting small\u2010 and large\u2010for\u2010gestational age (SGA\/LGA) newborns with adverse outcomes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Design<\/jats:title><jats:p>Nationally representative observational study.<\/jats:p><\/jats:sec><jats:sec><jats:title>Setting<\/jats:title><jats:p>French maternity units in 2016.<\/jats:p><\/jats:sec><jats:sec><jats:title>Population<\/jats:title><jats:p>9940 singleton live births with an ultrasound between 30 and 35\u2009weeks of gestation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We compared three prescriptive charts (INTERGROWTH\u201021st, World Health Organization (WHO), Eunice Kennedy Shriver National Institute of Child Health and Human Development [NICHD]), four descriptive charts (Hadlock, Fetal Medicine Foundation, two French charts) and a French customised growth model (Epop\u00e9).<\/jats:p><\/jats:sec><jats:sec><jats:title>Main outcome measures<\/jats:title><jats:p>SGA and LGA (birthweights &lt;10th and\u2009&gt;90th percentiles) associated with adverse outcomes (low Apgar score, delivery\u2010room resuscitation, neonatal unit admission).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>2.1% and 1.1% of infants had SGA and LGA and adverse outcomes, respectively. The sensitivity and specificity for detecting these infants with an EFW &lt;10th and &gt;90th percentile varied from 29\u201365% and 84\u201396% for descriptive charts versus 27\u201360% and 83\u201396% for prescriptive charts. WHO and French charts were closest to the EFW distribution, yielding a balance between sensitivity and specificity for SGA and LGA births. INTERGROWTH\u201021st and Epop\u00e9 had low sensitivity for SGA with high sensitivity for LGA. Areas under the receiving operator characteristics curve ranged from 0.62 to 0.74, showing low to moderate predictive ability, and diagnostic odds ratios varied from 7 to 16.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Marked differences in the performance of descriptive as well as prescriptive EFW charts highlight the importance of evaluating them for their ability to detect high\u2010risk fetuses.<\/jats:p><\/jats:sec><jats:sec><jats:title>Tweetable abstract<\/jats:title><jats:p>Choice of growth chart strongly affected identification of high\u2010risk fetuses at the third trimester ultrasound.<\/jats:p><\/jats:sec>","DOI":"10.1111\/1471-0528.17021","type":"journal-article","created":{"date-parts":[[2021,11,19]],"date-time":"2021-11-19T18:01:09Z","timestamp":1637344869000},"page":"938-948","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Comparison of the performance of estimated fetal weight charts for the detection of small\u2010 and large\u2010for\u2010gestational age newborns with adverse outcomes: a French population\u2010based study"],"prefix":"10.1111","volume":"129","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2755-7322","authenticated-orcid":false,"given":"I","family":"Monier","sequence":"first","affiliation":[{"name":"Obstetrical, Perinatal and Pediatric Epidemiology Research Team (EPOP\u00e9) Epidemiology and Statistics Research Centre (CRESS) Institut national de la sant\u00e9 et de la recherche m\u00e9dicale (INSERM) Institut national de la recherche agronomique (INRA) Universit\u00e9 de Paris  Paris France"},{"name":"Department of Obstetrics and Gynaecology Antoine B\u00e9cl\u00e8re Hospital AP\u2010HP Paris Saclay University  Clamart France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1025-910X","authenticated-orcid":false,"given":"A","family":"Ego","sequence":"additional","affiliation":[{"name":"Public Health Department CHU Grenoble Alpes Universit\u00e9 de Grenoble Alpes CNRS Grenoble INP (Institute of Engineering Univ. 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