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- W2020507890 abstract "<i>Introduction:</i> The aim of this retrospective clinical study was to compare the accuracy of 36 commonly used weight estimation formulae in macrosomic fetuses. <i>Material and Methods:</i> Ultrasound estimation of fetal weight (FW) was carried out within 7 days up to delivery in 350 singleton fetuses with a birth weight (BW) of ≧4,000 g. The accuracy of the different formulae for FW estimation was compared by, firstly, the mean percentage (MPE) and mean absolute percentage error (MAPE), secondly, by the frequency distribution of differences between estimated FW and fetal BW, and thirdly by comparing detection and false positive rates in screening for fetuses with a BW of 4,000, 4,300 and 4,500 g or more. <i>Results:</i> MPE ranged from –62.2 to 9.6% and was closest to 0 with the Hart formula. With 12 of 36 weight estimation formulae, MAPE was 10% or less, and was smallest with the Hart formulae (3.9%). The mean detection rate among all formulae for fetuses with a BW ≧4,000, ≧4,300 and ≧4,500 g was 29, 24 and 22%, respectively, and the false positive rate was 12% (for ≧4,300 g) and 7% (≧4,500 g). <i>Discussion:</i> Some formulae showed advantages as far as mean and absolute percentage errors were concerned, but none reached a detection rate and false positive rate for fetuses ≧4,500 g that could lead to clinical recommendation." @default.
- W2020507890 created "2016-06-24" @default.
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- W2020507890 date "2010-01-01" @default.
- W2020507890 modified "2023-10-16" @default.
- W2020507890 title "Performance of 36 Different Weight Estimation Formulae in Fetuses with Macrosomia" @default.
- W2020507890 cites W103900408 @default.
- W2020507890 cites W1482237249 @default.
- W2020507890 cites W1605677018 @default.
- W2020507890 cites W1810949827 @default.
- W2020507890 cites W183206910 @default.
- W2020507890 cites W1842302238 @default.
- W2020507890 cites W1968532354 @default.
- W2020507890 cites W1968793395 @default.
- W2020507890 cites W1969722243 @default.
- W2020507890 cites W1969770583 @default.
- W2020507890 cites W1974357201 @default.
- W2020507890 cites W1977159062 @default.
- W2020507890 cites W1980839718 @default.
- W2020507890 cites W1981524839 @default.
- W2020507890 cites W1993316465 @default.
- W2020507890 cites W1993577618 @default.
- W2020507890 cites W1997738277 @default.
- W2020507890 cites W1998574542 @default.
- W2020507890 cites W2000439128 @default.
- W2020507890 cites W2000523609 @default.
- W2020507890 cites W2006551876 @default.
- W2020507890 cites W2007671330 @default.
- W2020507890 cites W2008128206 @default.
- W2020507890 cites W2011033252 @default.
- W2020507890 cites W2012282345 @default.
- W2020507890 cites W2021888307 @default.
- W2020507890 cites W2022956499 @default.
- W2020507890 cites W2023138177 @default.
- W2020507890 cites W2024009936 @default.
- W2020507890 cites W2025959440 @default.
- W2020507890 cites W2031207507 @default.
- W2020507890 cites W2033427127 @default.
- W2020507890 cites W2036285762 @default.
- W2020507890 cites W2045919400 @default.
- W2020507890 cites W2048025845 @default.
- W2020507890 cites W2048521493 @default.
- W2020507890 cites W2050029130 @default.
- W2020507890 cites W2050680351 @default.
- W2020507890 cites W2054641352 @default.
- W2020507890 cites W2068656653 @default.
- W2020507890 cites W2068657326 @default.
- W2020507890 cites W2069374980 @default.
- W2020507890 cites W2069647134 @default.
- W2020507890 cites W2071374972 @default.
- W2020507890 cites W2072474236 @default.
- W2020507890 cites W2073596188 @default.
- W2020507890 cites W2080925764 @default.
- W2020507890 cites W2082941960 @default.
- W2020507890 cites W2084869104 @default.
- W2020507890 cites W2086429200 @default.
- W2020507890 cites W2088436653 @default.
- W2020507890 cites W2089181327 @default.
- W2020507890 cites W2089844681 @default.
- W2020507890 cites W2108206722 @default.
- W2020507890 cites W2136890913 @default.
- W2020507890 cites W2137243398 @default.
- W2020507890 cites W2144559357 @default.
- W2020507890 cites W2150084841 @default.
- W2020507890 cites W2151451374 @default.
- W2020507890 cites W2341040751 @default.
- W2020507890 cites W2406647010 @default.
- W2020507890 cites W2411557324 @default.
- W2020507890 cites W2415656408 @default.
- W2020507890 cites W2417668812 @default.
- W2020507890 cites W2436719294 @default.
- W2020507890 cites W27186901 @default.
- W2020507890 cites W40576080 @default.
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- W2020507890 doi "https://doi.org/10.1159/000299475" @default.
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