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            <idno type="halRefHtml">&lt;i&gt;Gynécologie Obstétrique Fertilité &amp; Sénologie&lt;/i&gt;, 2023, 51 (5), pp.256-269. &lt;a target="_blank" href="https://dx.doi.org/10.1016/j.gofs.2022.09.014"&gt;&amp;#x27E8;10.1016/j.gofs.2022.09.014&amp;#x27E9;&lt;/a&gt;</idno>
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            <idno type="stamp" n="UNIVERSITE-PARIS" corresp="UNIV-PARIS">Université Paris Cité</idno>
            <idno type="stamp" n="UP-SANTE">Université Paris Cité - Faculté de Santé</idno>
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                <title xml:lang="en">courbes intra-utérines et de poids de naissance Review of the literature on intrauterine and birthweight charts</title>
                <title xml:lang="fr">Revue de la littérature des courbes intra-utérines et de poids de naissance</title>
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                <title level="j">Gynécologie Obstétrique Fertilité &amp; Sénologie</title>
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                  <publisher>Elsevier</publisher>
                  <biblScope unit="volume">51</biblScope>
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                <term xml:lang="en">courbe de croissance</term>
                <term xml:lang="en">prescriptive</term>
                <term xml:lang="en">morbi-mortality</term>
                <term xml:lang="en">birthweight</term>
                <term xml:lang="en">estimated fetal weight</term>
                <term xml:lang="en">prescriptive growth charts</term>
                <term xml:lang="en">descriptive</term>
                <term xml:lang="en">morbimortalité</term>
                <term xml:lang="en">poids de naissance</term>
                <term xml:lang="en">poids foetal estimé</term>
                <term xml:lang="en">courbe de croissance poids foetal estimé poids de naissance morbimortalité descriptive prescriptive growth charts estimated fetal weight birthweight morbi-mortality descriptive prescriptive</term>
                <term xml:lang="en">large for gestational age</term>
                <term xml:lang="en">small for gestational age</term>
                <term xml:lang="en">WHO charts</term>
                <term xml:lang="en">WHO charts small for gestational age large for gestational age</term>
                <term xml:lang="en">Growth chart</term>
                <term xml:lang="en">Prescriptive</term>
                <term xml:lang="en">Descriptive</term>
                <term xml:lang="en">Morbi-mortality</term>
                <term xml:lang="en">Birthweight</term>
                <term xml:lang="en">Estimated fetal weight</term>
                <term xml:lang="fr">Growth charts</term>
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              <p>Objectives: To describe the main intrauterine and birthweight charts and review the studies comparing their performance for the identification of infants at risk of adverse perinatal outcomes.Methods: We carried out a literature search using Medline and selected the charts most frequently cited in the literature, French charts and those recently published.Results: Current knowledge on the association between mortality and morbidity and growth anomalies (small and large for gestational age) mostly relies on the use of descriptive charts which describe the weight distribution in unselected populations. Prescriptive charts, which describe ideal growth in low risk populations, have been constructed more recently. Few studies have evaluated whether the thresholds used to identify infants at risk with descriptive charts (such as the 3rd or the 10th percentile) are applicable to prescriptive charts. There is a large variability in the percentage of fetuses or newborns identified as being at risk by each chart, with from 3 to 25% having with a weight under the 10th percentile, regardless of whether descriptive or prescriptive charts are used. The sensitivity and specificity of antenatal screening for small or large for gestational age newborns depends on the chart used to derive estimated fetal weight percentiles.Conclusion: There is marked variability between intrauterine growth charts that can influence the percentage of infants identified as having abnormal growth. These results show that before the adoption of a growth chart, it is essential to evaluate whether it adequately describes the population and its performance for identifying of infants at risk because of growth anomalies.</p>
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