ArticleBMC pregnancy and childbirth2020
The combination of symphysis-fundal height and abdominal circumference as a novel predictor of macrosomia in GDM and normal pregnancy.
Article in BMC pregnancy and childbirth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- Unraveling the complex web: pathogenesis and prevention of gestational diabetes mellitus-related fetal overgrowth.Frontiers in cell and developmental biology · 2026Review
- Lecturers' perceptions on student midwives' competence in symphysis fundal height measurement.Health SA = SA Gesondheid · 2025Article
- Overexpression of IGF2 affects mouse weight and glycolipid metabolism and IGF2 is positively related to macrosomia.Frontiers in endocrinology · 2023Article
- Risk Factors for Macrosomia in Multipara: A Multi-Center Retrospective Study.Children (Basel, Switzerland) · 2022Article
- The Role of Slit-2 in Gestational Diabetes Mellitus and Its Effect on Pregnancy Outcome.Frontiers in endocrinology · 2022Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
backgroundMacrosomia is a major adverse pregnancy outcome of gestational diabetes mellitus (GDM). Although BMI, symphysis-fundal height (SFH) and abdominal circumference (AC) are associated with foetal weight, there are some limitations to their use, especially for the prediction of macrosomia. This study aimed to identify a novel predictive methodology to improve the prediction of high-risk macrosomia.
methodsClinical information was collected from 3730 patients. The association between the ISFHAC (index of the SFH algorithm multiplied by the square of AC) and foetal weight was determined and validated. A new index, the ISFHAC, was evaluated by area under the curve (AUC) analysis.
resultsA total of 1087 GDM and 657 normal singleton pregnancies were analysed. The ISFHAC was positively correlated with foetal weight in GDM pregnancies and normal pregnancies (NPs). The AUCs of the ISFHAC were 0.815 in the GDM group and 0.804 in the NP group, which were higher than those of BMI, SFH, AC and GA. The ISFHAC cut-off points were 41.7 and 37 in the GDM and NP groups, respectively. The sensitivity values for the prediction of macrosomia with high ISFHAC values were 75.9 and 81.3% in the GDM and NP groups, respectively, which were higher than those with BMI. Regarding the validation data, the sensitivity values for prediction with high ISFHAC values were 78.9% (559 GDM pregnancies) and 78.3% (1427 NPs).
conclusionsThe ISFHAC can be regarded as a new predictor of and risk factor for macrosomia in GDM pregnancy and NP.
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Registered trials
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