Cited by 446Pregnancy and preeclampsia studiesPrenatal Screening and DiagnosticsNeurological Complications and Syndromes

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Screening for pre-eclampsia by maternal factors and biomarkers at 11–13 weeks’ gestation

Open access

Tan, M. Y., Syngelaki, A., Poon, L. C., Rolnik, D. L., O'Gorman, N., Delgado, J. L., Akolekar, R., Konstantinidou, L., Tsavdaridou, M., Galeva, S., Ajdacka, U., Molina, F. S., Persico, N., Jani, J. C., Plasencia, W., Greco, E., Papaioannou, G., Wright, A., Wright, D., Nicolaides, K. H.·2018·Ultrasound in Obstetrics & Gynecology

DOI 10.1002/uog.19112

Open this paper in CoChat — free account Open PDF

Abstract

OBJECTIVE: To examine the performance of screening for early, preterm and term pre-eclampsia (PE) at 11-13 weeks' gestation by maternal factors and combinations of mean arterial pressure (MAP), uterine artery (UtA) pulsatility index (PI), serum placental growth factor (PlGF) and serum pregnancy-associated plasma protein-A (PAPP-A). METHODS: The data for this study were derived from three previously reported prospective non-intervention screening studies at 11 + 0 to 13 + 6 weeks' gestation in a combined total of 61 174 singleton pregnancies, including 1770 (2.9%) that developed PE. Bayes' theorem was used to combine the prior distribution of gestational age at delivery with PE, obtained from maternal characteristics, with various combinations of biomarker multiples of the median (MoM) values to derive patient-specific risks of delivery with PE at < 37 weeks' gestation. The performance of such screening was estimated. RESULTS: In pregnancies that developed PE, compared to those without PE, the MoM values of UtA-PI and MAP were increased and those of PAPP-A and PlGF were decreased, and the deviation from normal was greater for early than late PE for all four biomarkers. Combined screening by maternal factors, UtA-PI, MAP and PlGF predicted 90% of early PE, 75% of preterm PE and 41% of term PE, at a screen-positive rate of 10%; inclusion of PAPP-A did not improve the performance of screening. The performance of screening depended on the racial origin of the women; on screening by a combination of maternal factors, MAP, UtA-PI and PlGF and using a risk cut-off of 1 in 100 for PE at < 37 weeks in Caucasian women, the screen-positive rate was 10% and detection rates for early, preterm and term PE were 88%, 69% and 40%, respectively. With the same method of screening and risk cut-off in women of Afro-Caribbean racial origin, the screen-positive rate was 34% and detection rates for early, preterm and term PE were 100%, 92% and 75%, respectively. CONCLUSION: Screening by maternal factors and biomarkers at 11-13 weeks' gestation can identify a high proportion of pregnancies that develop early and preterm PE. © 2018 Crown copyright. Ultrasound in Obstetrics & Gynecology © 2018 ISUOG.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1002/uog.19112

Cites

31 of 31 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
pROC: an open-source package for R and S+ to analyze and compare ROC curves
Robin, X., Turck, N., Hainard, A., Tiberti, N., Lisacek, F., Sanchez, J.-C., & Müller, M. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-77 · Cited by 13,697
Aspirin versus Placebo in Pregnancies at High Risk for Preterm Preeclampsia
Rolnik, D. L., Wright, D., Poon, L. C., O’Gorman, N., Syngelaki, A., de Paco Matallana, C., Akolekar, R., Cicero, S., Janga, D., Singh, M., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1704559 · Cited by 2,287
Self-citation
THE CLASSIFICATION AND DIAGNOSIS OF THE HYPERTENSIVE DISORDERS OF PREGNANCY: STATEMENT FROM THE INTERNATIONAL SOCIETY FOR THE STUDY OF HYPERTENSION IN PREGNANCY (ISSHP)
Brown, M. A., Lindheimer, M. D., de Swiet, M., Assche, A. V., & Moutquin, J. (2001) · Hypertension in Pregnancy · doi:10.1081/prg-100104165 · Cited by 1,894
A CRITICAL EVALUATION OF SONAR “CROWN‐RUMP LENGTH” MEASUREMENTS
Robinson, H. P., & Fleming, J. E. E. (1975) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/j.1471-0528.1975.tb00710.x · Cited by 1,413
Competing risks model in screening for preeclampsia by maternal factors and biomarkers at 11-13 weeks gestation
O’Gorman, N., Wright, D., Syngelaki, A., Akolekar, R., Wright, A., Poon, L. C., & Nicolaides, K. H. (2016) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2015.08.034 · Cited by 629
Self-citation
Aspirin for the prevention of preterm and term preeclampsia: systematic review and metaanalysis
Roberge, S., Bujold, E., & Nicolaides, K. H. (2018) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2017.11.561 · Cited by 628
Self-citation
Competing Risks Model in Early Screening for Preeclampsia by Biophysical and Biochemical Markers
Akolekar, R., Syngelaki, A., Poon, L. C., Wright, D. E., & Nicolaides, K. H. (2012) · Fetal Diagnosis and Therapy · doi:10.1159/000341264 · Cited by 601
Self-citation
Prediction of early, intermediate and late pre‐eclampsia from maternal factors, biophysical and biochemical markers at 11–13 weeks
Akolekar, R., Syngelaki, A., Sarquis, R., Zvanca, M. E., & Nicolaides, K. H. (2011) · Prenatal Diagnosis · doi:10.1002/pd.2660 · Cited by 447
Self-citation
Uterine artery Doppler at 11 + 0 to 13 + 6 weeks in the prediction of pre‐eclampsia
Plasencia, W., Maiz, N., Bonino, S., Kaihura, C., & Nicolaides, K. H. (2007) · Ultrasound in Obstetrics & Gynecology · doi:10.1002/uog.5157 · Cited by 425
Self-citation

Flagged first, then by citations

Show all 31 references

Research works printed but not linked: 2

National Collaborating Centre for Women's and Children's Health (UK), 2010, Hypertension in Pregnancy: The Management of Hypertensive Disorders During Pregnancy
10.3109/10641950109152635 · DOI

Sorted by citations

Items 301–400 of 446

Hypertensive disorders of pregnancy and the risk for hypertension and cardiovascular and kidney disease. International Society of Hypertension position paper, endorsed by the World Hypertension League and European Society of Hypertension
Jones, E. S. W., Ralapanawa, U., Wu, P., Brewster, L. M., Nuyt, A. M., Slater, K., Bertagnolli, M., Steckelings, U. M., Socrates, T., Magee, L. A., et al. (2026) · Journal of Hypertension · doi:10.1097/hjh.0000000000004389 · Cited by 1
Model for Early Prediction of Preeclampsia: A Nested Case Controlled Study in Indian Women
Yadav, S., Khandpur, S., Yadav, Y. S., Goel, M. M., Singh, U., Natu, S. M., Negi, M. P. S., Sharma, L. K., & Tiwari, S. (2021) · The Journal of Obstetrics and Gynecology of India · doi:10.1007/s13224-021-01511-z · Cited by 1
Validación de un tamiz precoz de preeclampsia en una población mexicana
Cruz, H. O., Carrasco-Blancas, E. R., & Cortés-Martínez, M. A. (2021) · Gaceta Médica de México · doi:10.24875/gmm.21000076 · Cited by 1
Prospective observational comparison of arteria uterina blood flow between two frozen embryo transfer cycle regimens: natural cycle versus hormonal replacement cycle
Lawrenz, B., Markova, D. M., Melado, L., Vitorino, R. L., Digma, S., Samir, S., & Fatemi, H. M. (2022) · Archives of Gynecology and Obstetrics · doi:10.1007/s00404-022-06789-6 · Cited by 1
Establishment and validation of a predictive model of preeclampsia based on transcriptional signatures of 43 genes in decidua basalis and peripheral blood
Zhang, H., Li, X., Zhang, T., Zhou, Q., & Zhang, C. (2022) · BMC Bioinformatics · doi:10.1186/s12859-022-05086-y · Cited by 1
First- and Second-Trimester Doppler Velocimetry of the Uteroplacental Circulation
Mumford, V., & Khalil, A. A. (2023) · Springer eBooks · doi:10.1007/978-3-031-06189-9_19 · Cited by 1
SINDROME NEFROTICO Y EMBARAZO
González, A. O. (2023) · Hipertensión y Riesgo Vascular · doi:10.1016/j.hipert.2022.12.001 · Cited by 1
The role of the PLGF in the management of pregnancies complicated with fetal microsomia
Souka, A. P., Chatziioannou, M. I., Pegkou, A., Antsaklis, P. G., & Daskalakis, G. (2023) · Archives of Gynecology and Obstetrics · doi:10.1007/s00404-023-07012-w · Cited by 1
A Time Study for the Analysis of the Potential for the Automated Stepwise Screening Program for Preeclampsia at Week 12 of Gestation
Pedersen, L., Wagner, S. R., Skov, H. L., & Sandager, P. (2023) · Communications in computer and information science · doi:10.1007/978-3-031-29548-5_13 · Cited by 1
Acetylsalicylic acid as the only pharmacological method for the prevention of preeclampsia: A retrospective study
Kravtsova, O. М., Kuznetsov, P. A., Сергеевна, Д. Л., Dobrokhotova, Y. E., & Михайлович, З. А. (2023) · GYNECOLOGY · doi:10.26442/20795696.2023.2.202231 · Cited by 1
Impact of Endometrial Preparation on the Maternal and Fetal Cardiovascular Variables of the First Trimester Combined Screening Test
Dallagiovanna, C., Benaglia, L., Reschini, M., Gesaro, L. D., Piani, L. L., Persico, N., Viganò, P., & Somigliana, E. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12216854 · Cited by 1
Self-citation
The significance of mitochondrial haplogroups in preeclampsia risk
Olsen, K. W., Hedley, P. L., Hagen, C. M., Rode, L., Placing, S., Wøjdemann, K. R., Shalmi, A. C., Sundberg, K., Nørremølle, A., Tabor, A., et al. (2023) · Pregnancy Hypertension · doi:10.1016/j.preghy.2023.11.001 · Cited by 1
Different risk-assessment models for prediction of preeclampsia and fetal growth restriction in the first trimester in a high-risk pregnancy – which models are better?
Kapustin, R. V., Kascheeva, T. K., Валерьевна, Ш. Е., Николаевна, А. Е., Вадимовна, К. Е., Arzhanova, O. N., Postnikova, T. B., & Kogan, I. Y. (2023) · Journal of obstetrics and women s diseases · doi:10.17816/jowd567815 · Cited by 1
Biological Insights from Cell-Free DNA Methylome Analysis in Preeclampsia
Yu, S. C. Y., & Lo, Y. M. D. (2024) · Clinical Chemistry · doi:10.1093/clinchem/hvae020 · Cited by 1
Screening auf Präeklampsie und Frühgeburt im ersten und zweiten Trimester
Schlembach, D. (2024) · Die Gynäkologie · doi:10.1007/s00129-024-05233-x · Cited by 1
Characteristics of the Basel Postpartum Hypertension Cohort (Basel-PPHT Cohort): An Interim Analysis
Socrates, T., Wenker, C., Vischer, A. S., Schumacher, C., Pugin, F., Schötzau, A., Mayr, M., Hösli, I., Mosimann, B., Lapaire, O., et al. (2024) · Diagnostics · doi:10.3390/diagnostics14131347 · Cited by 1
Improved Prediction Accuracy for Late-Onset Preeclampsia Using cfRNA Profiles: A Comparative Study of Marker Selection Strategies
Nakano, A., Uno, K., & Matsui, Y. (2025) · Healthcare · doi:10.3390/healthcare13101162 · Cited by 1
Preeclampsia – Prediction and Monitoring Factors
Rudic, J., Raičević, S., & Babić, G. M. (2019) · Serbian Journal of Experimental and Clinical Research · doi:10.2478/sjecr-2018-0026 · Cited by 1
Serum podocalyxin at 11–13 weeks of gestation in the prediction of small for gestational age neonates
Rolnik, D. L., Wang, Y., Hyett, J. A., Costa, F. D. S., & Nie, G. (2019) · Journal of Perinatology · doi:10.1038/s41372-019-0370-5 · Cited by 1
Self-citation
Combining early (<11 weeks’ gestation) ultrasound features and maternal factors to predict small‐for‐gestational age neonates
Hanchard, T. J., de Vries, B. S., Quinton, A. E., Sinosich, M. J., & Hyett, J. A. (2020) · Australasian Journal of Ultrasound in Medicine · doi:10.1002/ajum.12224 · Cited by 1
OP03.06: Did severe acute respiratory syndrome COVID‐19 infection affect umbilical vein blood flow and fetal cardiac function?
Rizzo, G., Mappa, I., Maqina, P., de Nale, R., Alessio, A., & Makatsariya, A. D. (2021) · Ultrasound in Obstetrics and Gynecology · doi:10.1002/uog.23943 · Cited by 1
Factors Associated with the Severity of Pregnancy-Related Hypertensive Disorder: Significance of Clinical, Laboratory, and Histopathological Features
An, H. J., Song, D. H., Kim, Y., Jo, H. C., Baek, J. C., Kim, H., Yang, J., & Park, J. E. (2022) · Diagnostics · doi:10.3390/diagnostics12092188 · Cited by 4
Authors' reply re: Implementation of routine first‐trimester combined screening for pre‐eclampsia: a clinical effectiveness study
Guy, G. P., & Thilaganathan, B. (2020) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/1471-0528.16444 · Cited by 1
Re: Routine first‐trimester combined screening for pre‐eclampsia: pregnancy‐associated plasma protein‐A or placental growth factor?
Cuckle, H. (2022) · Ultrasound in Obstetrics and Gynecology · doi:10.1002/uog.24865 · Cited by 1
Early-pregnancy N-terminal pro-brain natriuretic peptide level is inversely associated with hypertensive disorders of pregnancyPreprint
Takahashi, M., Suzuki, L., Takahashi, N., Hanaue, M., Soda, M., Miki, T., Tateyama, N., Ishihara, S., & Koshiishi, T. (2024) · Research Square · doi:10.21203/rs.3.rs-3959019/v1 · Cited by 1
Advancing Preeclampsia Prediction: A Tailored Machine Learning Pipeline for Handling Imbalanced Medical Data (Preprint)Preprint
Ma, Y., Lv, H., Ma, Y., Wang, X., Lv, L., Liang, X., & Wang, L. (2024) · doi:10.2196/preprints.60375 · Cited by 1
The necessity of algorithm version control in preeclampsia risk screening (letter to the editor)
Jarmund, A. H., Svoren, Å. T. R., & Iversen, A. (2026) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2026.03.027 · Cited by 1
First-Trimester Ultrasound: A Comparative Review of Guidelines
Boureka, E., Tsakiridis, I., Michos, G., Liberis, A., Giouleka, S., Mamopoulos, A., Kalogiannidis, I., & Dagklis, T. (2026) · Diagnostics · doi:10.3390/diagnostics16111695
New concepts in the screening of preterm preeclampsia
Bouariu, A., Popescu, G., Liţă, A., Gică, N., Peltecu, G. C., & Panaitescu, A. M. (2018) · Ginecologia ro · doi:10.26416/gine.22.4.2018.2137
Screening im ersten Trimenon
Pretscher, J., Kehl, S., Beckmann, M., & Stumpfe, F. M. (2019) · Frauenheilkunde up2date · doi:10.1055/a-0661-8193
Prééclampsie : faut-il intégrer dans la pratique courante les biomarqueurs de dépistage et de pronostic ?
Hamdi, S. M., Sault, C., Piver, É., Genoux, A., Masson, D., & Guibourdenche, J. (2019) · La Presse Médicale · doi:10.1016/j.lpm.2019.09.029
PLACENTAL HEMODYNAMIC ASSESSMENT IN WOMEN WITH SEVERE PREECLAMPSIA IN SECOND- AND THIRD-TRIMESTER PREGNANCY BY 3D POWER QUANTITATIVE DOPPLER ULTRASOUND
Zhou, S., An, P., Lian, K., Gan, L., FENG, W., Song, J., Wang, Y., LIU, X., Li, M., Zhang, Y.-T. Y., et al. (2020) · Journal of Mechanics in Medicine and Biology · doi:10.1142/s0219519420400011
Preeclampsia Prediction and Prophylaxis in Routine First-trimester Screening Services
Wataganara, T., Yapan, P., Thongkloung, P., Phaophan, A., Yaiyiam, C., Kamkang, P., & Thuphairo, K. (2020) · Donald School Journal of Ultrasound in Obstetrics & Gynecology · doi:10.5005/jp-journals-10009-1654
Ultrasonographic Diagnosis in Hypertensive and Eclamptic Patients
Kalafat, E., & Khalil, A. A. (2021) · Springer eBooks · doi:10.1007/978-3-030-57595-3_48
Evaluación del rendimiento diagnóstico de un nomograma de predicción de preeclampsia
López-Jurado, C. M., Quiñones-Laveriano, D. M., & Cruz-Vargas, J. A. D. L. (2021) · Revista chilena de obstetricia y ginecología · doi:10.24875/rechog.m21000005
Prediction of Preeclampsia
Matsuoka, R., Takita, H., Sekizawa, A., Tokunaka, M., Goto, M., Saito, M., & Hamada, S. (2021) · Donald School Journal of Ultrasound in Obstetrics & Gynecology · doi:10.5005/jp-journals-10009-1716
Pregnancy REmote MOnitoring: de toegevoegde waarde van telemonitoring in de prenatale opvolging van door gestationele hypertensieve aandoeningen gecompliceerde zwangerschappen
Lanssens, D., Thijs, I. M. V., & Gyselaers, W. (2021) · Tijdschrift voor Geneeskunde · doi:10.47671/tvg.77.21.150
Ultrasound Scanning in the First Trimester of Pregnancy
Wladimiroff, J. W. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108863049.012
Prediction and Prevention of Preeclampsia
Staff, A. C., Umans, J. G., & Jeyabalan, A. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-818417-2.00013-0
Taiwanese new direction in prediction of early pregnancy preeclampsia: a prospective and non-interventional studyPreprint
Chen, Y.-T., Lin, T., Cheng, P., Chan, K.-S., Huang, H., & Shaw, S. W. (2020) · Research Square · doi:10.21203/rs.3.rs-54124/v1
Sinn und Nutzen des Präeklampsiescreenings im 1. Trimenon
Stern, C., & Pertl, B. (2022) · Journal für Gynäkologische Endokrinologie/Österreich · doi:10.1007/s41974-022-00214-1
“Knowing” Can Be the Medicine for Expecting Mothers
Lee, S.-K. (2022) · Molecules and Cells · doi:10.14348/molcells.2022.0030
Re: Implementation of routine first trimester combined screening for pre-eclampsia: a clinical effectiveness study. (First comment on BJOG-20-0819.R2)Preprint
Wright, D., & Nicolaides, K. H. (2020) · doi:10.22541/au.159542508.83696416
Self-citation
Prevention & early detection of common pregnancy disorders
Peeters, L. L. H., de Leeuw, P. W., & Uiterweer, E. D. P. (2021) · Bohn Stafleu van Loghum eBooks · doi:10.1007/978-90-368-2571-9_5
Establishment and Verification of a Predictive Model for Preeclampsia Based on Bioinformatics AnalysisPreprint
Zhang, H., Li, X., Zhang, T., & Zhang, C. (2022) · Research Square · doi:10.21203/rs.3.rs-1611766/v1
Marqueurs biologiques de la pré-éclampsie
Émile, C. (2022) · Option/Bio · doi:10.1016/s0992-5945(22)00186-6
[Latest Research Findings on Prediction of Preeclampsia in Pregnant Women Based on Analysis of Cell-Free RNA in Peripheral Blood].
Shui, L., Xu, W., & He, G. (2022) · PubMed Central · doi:10.12182/20220860104
Clinical validation of novel second-trimester preterm preeclampsia risk predictors combining clinical variables and serum protein biomarkersPreprint
Laurent, L. C., Saade, G. R., Markenson, G. R., Heyborne, K., Schoen, C. N., Baxter, J. K., Longo, S. A., Pereira, L. M., Su, E. J., Hoffman, M., et al. (2022) · medRxiv · doi:10.1101/2022.12.21.22282936
The role of the PLGF in the prediction of the outcome in pregnancies complicated with fetal microsomiaPreprint
Souka, A. P., Antsaklis, P. G., Tasias, K., Chatziioannou, M. I., Papamihail, M., & Daskalakis, G. (2023) · Research Square · doi:10.21203/rs.3.rs-2458745/v1
Influence of anti-coagulant therapy in the first trimester uterine flow indicesPreprint
Souka, A. P., Tasias, K., Asimakopoulos, G., & Pilalis, A. (2023) · Research Square · doi:10.21203/rs.3.rs-2537423/v1
Uterine Doppler Velocimetry and Hypertensive Disease
Frusca, T., Dall’Asta, A., & di Pasquo, E. (2023) · Springer eBooks · doi:10.1007/978-3-031-06189-9_20
Extended combined screening for preeclampsia prediction in women with diabetes mellitus
Kapustin, R. V., Tcybuk, E. M., Kopteeva, E. V., Alekseenkova, E. N., Chepanov, S. V., Валерьевна, Ш. Е., Arzhanova, O. N., Валентинович, К. А., & Kogan, I. Y. (2023) · Journal of obstetrics and women s diseases · doi:10.17816/jowd321321
Evaluation of first trimester maternal serum inhibin-A for preeclampsia screening
Moungmaithong, S., Kwan, A. H. W., Tse, A. W., Wong, N. K. L., Lam, M. S. N., Wang, J., Poon, L. C., & Sahota, D. S. (2023) · PLoS ONE · doi:10.1371/journal.pone.0288289
Self-citation
Anais do XII Encontro de Ligas Acadêmicas de Medicina
(2023) · doi:10.25248/anais.e14385.2023
OP19_5. First-trimester screening for preeclampsia and small-for-gestational-age: a comparison of the gaussian and FMF algorithms
Serrano, B., Bonacina, E., Rodó, C., García‐Manau, P., Sánchez‐Durán, M. Á., Pancorbo, M., Forcada, C., Murcia, M. T., Perestelo, A., Armengol‐Alsina, M., et al. (2023) · Pregnancy Hypertension · doi:10.1016/j.preghy.2023.07.173
THE COURSE OF PREGNANCY IN WOMEN WITH PREECLAMPSIA COMBINED WITH FETAL GROWTH RETARDATION
HAJIYEVA, R. S., MUSAYEVA, M. S., & MAHMEDBEYOVA, Z. F. (2023) · EXPERIMENTAL & CLINICAL MEDICINE GEORGIA · doi:10.52340/jecm.2023.05.32
Stališče ZPMS o preventivnem zdravljenju nosečnic s povečanim tveganjem za preeklampsijo z nizkoodmernim aspirinom
Vodušek, V. F., Sršen, T. P., & Mujezinović, F. (2023) · Slovenian Medical Journal · doi:10.6016/zdravvestn.3479
Screening for Preeclampsia
Kamat, A. (2023) · Springer eBooks · doi:10.1007/978-981-99-7758-1_14
Added Value of Mean Blood Pressure and Placental Growth Factor in the Early Detection of Pre-eclampsia among Gabonese Women
Lendoye, E., Minkobame, U., Komba, O. M., Obiang, P. A., Eya'a, L. N., Bisvigou, U., Moukambi, L. A., Ndeboko, B., Ntamack, J. A. B., Ngoungou, E. B., et al. (2024) · Nigerian Postgraduate Medical Journal · doi:10.4103/npmj.npmj_232_23
Abnormale Plazentation: Fetale Wachstumsrestriktion
Kehl, S., Schlembach, D., Baumann, M., Klaritsch, P., & Lobmaier, S. M. (2024) · Springer Reference Medizin · doi:10.1007/978-3-662-44369-9_80-1
Capacidad predictiva de los métodos de detección de preeclampsia al inicio del embarazo
Herrera, A. I. V. (2023) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.17.2023.tde-15022024-100312
Implementation of First-Trimester Screening and Prevention of Preeclampsia: A Stepped Wedge Cluster-Randomised Trial in AsiaPreprint
Nguyen‐Hoang, L., Dinh, L. T., Tai, A. S. T., Nguyen, D.-A., Pooh, R. K., Shiozaki, A., Zheng, M., Hu, Y., Ma, R., Kusuma, A., et al. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4767635
Self-citation
Additional file 4 of Establishment and validation of a predictive model of preeclampsia based on transcriptional signatures of 43 genes in decidua basalis and peripheral blood
Zhang, H., Li, X., Zhang, T., Zhou, Q., & Zhang, C. (2023) · Figshare · doi:10.6084/m9.figshare.22604383
Additional file 7 of Establishment and validation of a predictive model of preeclampsia based on transcriptional signatures of 43 genes in decidua basalis and peripheral blood
Zhang, H., Li, X., Zhang, T., Zhou, Q., & Zhang, C. (2023) · Figshare · doi:10.6084/m9.figshare.22604392
Additional file 2 of Establishment and validation of a predictive model of preeclampsia based on transcriptional signatures of 43 genes in decidua basalis and peripheral blood
Zhang, H., Li, X., Zhang, T., Zhou, Q., & Zhang, C. (2023) · Figshare · doi:10.6084/m9.figshare.22604377
Additional file 5 of Establishment and validation of a predictive model of preeclampsia based on transcriptional signatures of 43 genes in decidua basalis and peripheral blood
Zhang, H., Li, X., Zhang, T., Zhou, Q., & Zhang, C. (2023) · Figshare · doi:10.6084/m9.figshare.22604386
Additional file 8 of Establishment and validation of a predictive model of preeclampsia based on transcriptional signatures of 43 genes in decidua basalis and peripheral blood
Zhang, H., Li, X., Zhang, T., Zhou, Q., & Zhang, C. (2023) · Figshare · doi:10.6084/m9.figshare.22604395
Additional file 6 of Establishment and validation of a predictive model of preeclampsia based on transcriptional signatures of 43 genes in decidua basalis and peripheral blood
Zhang, H., Li, X., Zhang, T., Zhou, Q., & Zhang, C. (2023) · Figshare · doi:10.6084/m9.figshare.22604389
Additional file 3 of Establishment and validation of a predictive model of preeclampsia based on transcriptional signatures of 43 genes in decidua basalis and peripheral blood
Zhang, H., Li, X., Zhang, T., Zhou, Q., & Zhang, C. (2023) · Figshare · doi:10.6084/m9.figshare.22604380
Supplemental material to: Vega-Iglesias J, Velázquez-Pérez AT, Oviedo-Cruz H. A pilot study of first trimester pregnancy-associated plasma protein-A for preeclampsia prediction in a population from Zapopan, Jalisco. (Forthcoming).
Cruz, H. O. (2023) · Figshare · doi:10.6084/m9.figshare.23304221
Adverse outcomes of preeclampsia: From mother to baby, pregnancy to postpartum
(2024) · Frontiers research topics · doi:10.3389/978-2-8325-4863-9
The features of the functioning of the fetoplacental complex in pregnant women with an allogeneic fetus
Romanenko, T. G., & Yesyp, N. V. (2024) · Ukrainian journal of Perinatology and Pediatrics · doi:10.15574/pp.2024.97.22
MÉTODOS CONTEMPORÂNEOS DE PREVENÇÃO E MANEJO DA HIPERTENSÃO NA GESTAÇÃO
Yamase, A. A., Júnior, E. M. D. A., Goulart, E. T. V., Duarte, G. L., Jardim, M. D. S., da Costa, N., Sobrinho, T. D. N. M., Gomes, T. J., & de Andrade, V. P. L. (2024) · EPITAYA eBooks · doi:10.47879/ed.ep.2024479p97
The added value of the midwife in the prenatal remote monitoring follow-up of women at risk for gestational hypertensive disorders: a mixed methods studyPreprint
Lanssens, D., Janssen, F., Dessers, N., Ramaekers, H., Tack, J., Oosterwyck, M. V., Bakayan, S., Dierckx, F., Gyselaers, W., & PREMOM II consortium (2024) · Research Square · doi:10.21203/rs.3.rs-4502982/v1
Raportul sFlt-1/PlGF în restricţia de creştere fetală, naşterea cu făt mort şi naşterea prematură
Drăgoi, V., Alexandra, T., Ciobanu, A. M., Gică, N., Anca-Maria, P., & Nedelea, F. M. (2024) · Obstetrica şi Ginecologia · doi:10.26416/obsgin.72.2.2024.9715
Abnormale Plazentation: Fetale Wachstumsrestriktion
Kehl, S., Schlembach, D., Baumann, M., Klaritsch, P., & Lobmaier, S. M. (2024) · Springer Reference Medizin · doi:10.1007/978-3-662-63506-3_80
The performance of various serum parameters in blood during the first trimester in the early detection of pre-eclampsia
Çendek, B. D., Ağbal, T., Akay, A., İbanoğlu, M. C., & Üstün, Y. E. (2024) · Journal of Health Sciences and Medicine · doi:10.32322/jhsm.1500190
IGFBP1 and routine laboratory Indicators for early prediction of pre-eclampsia in Chinese populationPreprint
Qi, H., Zhang, X., Li, J., Hou, G., Zhou, N., Zhao, Z., Xu, W., Diao, Z., Qiu, Z., Chen, S., et al. (2024) · Research Square · doi:10.21203/rs.3.rs-4957726/v1
Prediction of Fetal Death in Preterm Preeclampsia Using Fetal Sex, Placental Growth Factor and Gestational Age
Álamo, B. N.-D., Martínez‐Varea, A., Arco, C. S., Suárez, E. S., González-Blanco, I., Nieto-Tous, M., & Morales‐Roselló, J. (2024) · Journal of Personalized Medicine · doi:10.3390/jpm14101059
SO SÁNH GIÁ TRỊ DẤU ẤN ĐƠN PLGF, PAPP-A VỚI CẶP DẤU ẤN KẾT HỢP PLGF – PAPP-A TRONG ĐÁNH NGUY CƠ TIỀN SẢN GIẬT THAI KỲ
Lê, T. M. D., & Nguyễn, T. T. (2024) · Tạp chí Y học Việt Nam · doi:10.51298/vmj.v544i3.12029
Übergewicht und Adipositas in der Geburtshilfe
Lia, M., Stepan, H., & Aktas, B. (2024) · Adipositas - Ursachen Folgeerkrankungen Therapie · doi:10.1055/a-2408-3631
A pilot project of pregnancy-associated plasma protein-A as an early screening test for preeclampsia in a Regional Hospital
Vega-Iglesias, J., Adriana T, V.-P., & Cruz, H. O. (2024) · Gaceta Médica de México · doi:10.24875/gmm.m24000931
Emerging Preventive Strategies for Preeclampsia
Provinciatto, H. G., Júnior, E. A., & Granese, R. (2024) · Clinical and Experimental Obstetrics & Gynecology · doi:10.31083/j.ceog5112272
Prediction of preeclampsia: A retrospective study
Kravtsova, O. М., Kuznetsov, P. A., Dobrokhotova, Y. E., & Raba, D. P. (2025) · GYNECOLOGY · doi:10.26442/20795696.2025.1.203126
Prädiktiver Ultraschall, Screening und Vorhersage für Präeklampsie und fetale Wachstumsrestriktion im II. und III. Trimester
Verlohren, S., Willruth, A., & Gembruch, U. (2025) · Springer eBooks · doi:10.1007/978-3-662-67373-7_19
Increase of augmentation index (AIx@75): a promising tool for screening hypertensive pregnancy disorders
Gomide, P. M. A. D. O., Bueno, M. L. P., Signorelli, M. D. S. M., Santos, L. F. M. D., Júnior, J. O. D. A. F., Rezende, B. A., Ferreira-Silva, B. A., da Silva, J. F. P., & Rodrigues‐Machado, M. D. G. (2025) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-025-07493-4
Expression and Clinical Significance of Irisin in Serum and Placenta Tissues of Pregnant Women with Severe Preeclampsia
Ren, Y., Bi, H., Zhang, J., Qi, Y., Zhang, X., Gong, X., Li, Y. M., & Shi, J. (2025) · International Journal of Women s Health · doi:10.2147/ijwh.s504035
Comparison of first trimester preeclampsia combined screening performances with various approaches in the Indonesian population
Fattah, A. N. A., Mahindra, M. P., Yusrika, M. U., Mapindra, M. P., Widjaja, F. F., Putri, V. P., Marizni, S., Hillman, S. L., & Kusuma, R. A. (2025) · Journal of Perinatology · doi:10.1038/s41372-025-02316-y
Reply
Tiruneh, S. A., Vu, T. T. T., Moran, L., Callander, E. J., Allotey, J., Thangaratinam, S., Rolnik, D. L., Teede, H. J., Wang, R., & Enticott, J. (2025) · Ultrasound in Obstetrics and Gynecology · doi:10.1002/uog.29253
Self-citation
Development and validation of a predictive model for preeclampsia: a retrospective cohort study
Wang, C., Zeng, T., Zhao, X., You, C., Lu, Y., Kong, G., Hu, L., Huang, J., & Zhang, Y. (2025) · Archives of Gynecology and Obstetrics · doi:10.1007/s00404-025-08076-6
Effect of aspirin on biomarker profile in women at high-risk for preeclampsia: a reply
Nguyen‐Hoang, L., & Poon, L. C. (2025) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2025.06.053
Self-citation
Placental growth factor before 11 weeks for screening of preterm preeclampsia: The PreMoM study
Mármol, R. L., Cabreja, J. A. Á., de Haro-Romero, T., Matallana, C. D. P., Hernández, O. O., Gonzalez, O., Carretero, P., Badillo, M. P. C., Delgado⋈, J. L., Rollé, V., et al. (2025) · Acta Obstetricia Et Gynecologica Scandinavica · doi:10.1111/aogs.70026
Self-citation
Mise à jour technique no 462 : Marqueurs sériques maternels anormaux et issues défavorables de la grossesse
Aviram, A., Mei‐Dan, E., Cassir, G., Figueiró-Filho, E. A., Liauw, J., Jain, V., Bujold, E., & Melamed, N. (2025) · Journal of Obstetrics and Gynaecology Canada · doi:10.1016/j.jogc.2025.103061
Screening for Term Preeclampsia at 35 to 37 Weeks of Gestation: A Single-Center Experience
Diethelm, S. M., Musik, T. K., Monod, C., Hildebrandt, L., Lapaire, O., Manegold‐Brauer, G., Amylidi-Mohr, S. K., & Mosimann, B. (2025) · Fetal Diagnosis and Therapy · doi:10.1159/000547694
Local Pulse Transit Time Analysis
Poliński, A., Mazur-Milecka, M., Kowalczyk, N., Jaguszewska, K., & Wagner, S. (2025) · Conference on Human System Interactions · doi:10.1109/hsi66212.2025.11142434
Optimising Pre-Eclampsia Screening in Black Women; a Secondary Analysis of Data from Non-Intervention Screening Studies
Arechvo, A., Syngelaki, A., Döbert, M., Varouxaki, A.-N., Tan, M. Y., Poon, L. C., von Dadelszen, P., Nicolaides, K. H., & Magee, L. A. (2025) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-025-02680-7
Self-citation
A New Model for Screening for Late-Onset Preeclampsia in the Third Trimester
García, C. J., Palacios, A., Quesada, J. A., Baviera-Royo, P., Pérez-Pascual, E., Baldó-Estela, I., & García-Sousa, V. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14207185
Early psycho-social support of pregnant women at risk for preeclampsia and fetal intrauterine growth restriction
Epple, F., Reichert, J., Rüdiger, M., Birdir, C., & Mense, L. (2025) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-025-08363-9
Minimum test tradeoff applied to uterine artery pulsatility index for antepartum prediction of preeclampsia
Janik, Z. M., Baker, S. G., Stanislaus, M. A., & Lindeman, K. S. (2025) · Pregnancy Hypertension · doi:10.1016/j.preghy.2025.101271
Combining Fuzzy Cognitive Maps and Metaheuristic Algorithms to Predict Preeclampsia and Intrauterine Growth Restriction
Cabralez, M. P. G., Díaz-Meza, J. D., Hoyos, K., Pacheco, B., García, R., & Hoyos, W. (2025) · Informatics · doi:10.3390/informatics12040141

Authors: Tan, M. Y., Syngelaki, A., Poon, L. C., Rolnik, D. L., O'Gorman, N., Delgado, J. L., Akolekar, R., Konstantinidou, L., Tsavdaridou, M., Galeva, S., Ajdacka, U., Molina, F. S., Persico, N., Jani, J. C., Plasencia, W., Greco, E., Papaioannou, G., Wright, A., Wright, D., & Nicolaides, K. H.
Affiliations: King's College London (GB)
King's College Hospital (GB)
King's College Hospital London UK
Hospital Clínico Universitario Virgen de la Arrixaca Murcia Spain
Medway Maritime Hospital (GB)
Homerton University Hospital (GB)
North Middlesex Hospital (GB)
University Hospital Lewisham (GB)
Southend University Hospital NHS Foundation Trust (GB)
Hospital Universitario San Cecilio Granada Spain
Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT)
Université Libre de Bruxelles (BE)
Hospiten Group (ES)
Royal London Hospital (GB)
University General Hospital Attikon (GR)
University of Exeter (GB)
Corresponding author: Nicolaides, K. H.
ORCID: Tan, M. Y.
Syngelaki, A.
Poon, L. C.
Rolnik, D. L.
Akolekar, R.
Galeva, S.
Molina, F. S.
Persico, N.
Jani, J. C.
Plasencia, W.
Greco, E.
Papaioannou, G.
Wright, D.
Nicolaides, K. H.
Venue: Ultrasound in Obstetrics & Gynecology
Publisher: Wiley
Published: 2018-07-11
Volume: 52
Issue: 2
Pages: 186-195
ISSN: 0960-7692 (ISSN-L)
1469-0705
DOI: 10.1002/uog.19112
OpenAlex: W2808436993
Cited by: 438
References: 31
Citations by year: 2026: 59 · 2025: 62 · 2024: 61 · 2023: 83 · 2022: 60 · 2021: 41 · 2020: 42 · 2019: 24 · 2018: 6
FWCI: 31.72
Type: journal article
Language: en
Open access: green
hdl.handle.net
Licence: other-oa
onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations: Ultrasound in Obstetrics and Gynecology (publishedVersion)
PubMed (publishedVersion)
RISalud Institutional Health Repository of Andalucía (submittedVersion, other-oa)
Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion)
Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
Funders: Fetal Medicine Foundation ((UK Charity No: 1037116))
Topics: Health Sciences › Medicine › Obstetrics and Gynecology › Pregnancy and preeclampsia studies
Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Prenatal Screening and Diagnostics
Health Sciences › Medicine › Clinical Neurology › Neurological Complications and Syndromes
Keywords: preeclampsia, preeclampsia screening, first-trimester screening, maternal risk factors, mean arterial pressure, uterine artery pulsatility index, placental growth factor, PAPP-A, Bayes' theorem, risk prediction, preterm preeclampsia, racial differences
MeSH terms: Placenta Growth Factor, Adult, Bayes Theorem, Female, Gestational Age, Humans, Pre-Eclampsia, Pregnancy, Pregnancy Trimester, First, Pregnancy-Associated Plasma Protein-A, Prospective Studies, Pulsatile Flow, Biomarkers, Risk Assessment, Vascular Endothelial Growth Factor Receptor-1, Uterine Artery, Arterial Pressure

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.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Screening for pre-eclampsia by maternal factors and biomarkers at 11–13 weeks’ gestation

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks