366: Placental volume measurements early in pregnancy predict adverse perinatal outcomes
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
First trimester placental volume is associated with adverse pregnancy outcomes, including small-for-gestational-age infants born under the 10th or 5th centiles.
“Early placental volume (PV) has been associated with small-for-gestational-age infants born under the 10th/5th centiles (SGA10/SGA5).”
From Fully Automated Placental Volume Quantification From<scp>3D</scp>Ultrasound for Prediction of Small‐for‐Gestational‐Age Infants (2022) · cites this paper as [7]
The AUC results from the logistic regression model were comparable to or higher than previous work [7,8].
“The AUC results from our logistic regression model were comparable to or higher than previous work [7,8].”
From Fully Automated Placental Volume Quantification From<scp>3D</scp>Ultrasound for Prediction of Small‐for‐Gestational‐Age Infants (2022) · cites this paper as [7]
Two-dimensional and three-dimensional ultrasound have been used to study in utero placental size and morphology early in pregnancy in relation to birthweight and preeclampsia.
“In particular, two-dimensional and three-dimensional ultrasound (3DUS) have been used to study in utero placental size and morphology early in pregnancy in relation to birthweight 4 and preeclampsia. 5,6”
From Minimally interactive placenta segmentation from three-dimensional ultrasound images (2020) · cites this paper as [6]
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Combining Deep Learning and Multi-atlas Label Fusion for Automated Placenta Segmentation from 3DUS
Oguz, B. U., Wang, J., Yushkevich, N., Pouch, A., Gee, J., Yushkevich, P. A., Schwartz, N., & Oguz, I. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-00807-9_14 · Cited by 13 · see citing works
Self-citationMinimally interactive placenta segmentation from three-dimensional ultrasound images
Oguz, I., Yushkevich, N., Pouch, A. M., Oguz, B. U., Wang, J., Parameshwaran, S., Gee, J. C., Yushkevich, P. A., & Schwartz, N. (2020) · Journal of Medical Imaging · doi:10.1117/1.jmi.7.1.014004 · Cited by 13 · see citing works
Self-citationSchwartz, N., Oguz, I., Wang, J., Pouch, A., Yushkevich, N., Parameshwaran, S., Gee, J., Yushkevich, P., & Oguz, B. (2022) · Journal of Ultrasound in Medicine · doi:10.1002/jum.15835 · Cited by 11 · see citing works
“The AUC results from our logistic regression model were comparable to or higher than previous work.(7,8) The main advantage of our model is that apart from PV, it only uses easily obtainable data as features (tobacco use, chronic hypertension, pregestational diabetes, nulliparity, age, race, and BMI).”
ResultSelf-citation
- Authors
- Schwartz, N., Coletta, J., Srinivas, S., Pessel, C., Timor, I. E., Parry, S., & Salafia, C.
- Affiliations
- Hospital of the University of Pennsylvania (US)
- New York University (US)
- Venue
- American Journal of Obstetrics and Gynecology
- Publisher
- Elsevier BV
- Published
- 2009-12
- Volume
- 201
- Issue
- 6
- Pages
- S142-S143
- ISSN
- 0002-9378 (ISSN-L)
- OpenAlex
- W1994502215
- Cited by
- 3
- References
- 0
- Citations by year
- 2021: 1 · 2020: 1 · 2018: 1
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Obstetrics and Gynecology (publishedVersion)
- Topics
- Health Sciences › Medicine › Obstetrics and Gynecology › Pregnancy and preeclampsia studies
- Health Sciences › Medicine › Obstetrics and Gynecology › Maternal and Perinatal Health Interventions
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Birth, Development, and Health
- Keywords
- placental volume, early pregnancy, perinatal outcomes, adverse pregnancy outcomes, placental development, prenatal ultrasound
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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