Evidence map›Paper›PMID 40394239›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2025

Comparison of first trimester preeclampsia combined screening performances with various approaches in the Indonesian population.

Adly Nanda Al Fattah, Muhammad Pradhiki Mahindra, Mirani Ulfa Yusrika, Muhammad Pradhika Mapindra, Felix Firyanto Widjaja, Vania Permata Putri, Shinda Marizni, Sara L Hillman, Raden Aditya Kusuma

Abstract readComparative Study
In one paragraph

Article in Journal of perinatology : official journal of the California Perinatal Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Adly Nanda Al FattahIndonesian Prenatal Institute, Jakarta, Indonesia.
Muhammad Pradhiki MahindraIndonesian Prenatal Institute, Jakarta, Indonesia. muhammad.mahindra.21@ucl.ac.uk.ORCID http://orcid.org/0000-0002-7521-9221
Mirani Ulfa YusrikaIndonesian Prenatal Institute, Jakarta, Indonesia.
Muhammad Pradhika MapindraIndonesian Prenatal Institute, Jakarta, Indonesia.
Felix Firyanto WidjajaIndonesian Prenatal Institute, Jakarta, Indonesia.
Vania Permata PutriIndonesian Prenatal Institute, Jakarta, Indonesia.
Shinda MarizniIndonesian Prenatal Institute, Jakarta, Indonesia.
Sara L HillmanUniversity College London Elizabeth Garrett Anderson Institute for Women's Health, London, UK.
Raden Aditya KusumaIndonesian Prenatal Institute, Jakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study aimed to compare Fetal Medicine Foundation (FMF), Indonesian Maternal and Children Health Handbook (MCH-HB), and Indonesian Prenatal Institute (IPI) models for predicting PE. MATERIALS/SUBJECTS AND

methodsMaternal risk factors, biophysical, and biochemical markers were recorded from women screened for PE at 11-14 gestational weeks. The receiving operator curve (ROC) analysis was used to compare the detection rate (DR) among prediction models.

resultsFor all PE at a 10% false-positive rate (FPR), FMF had a DR 62.9%; MCH-HB had a DR 50.0%; IPI had a DR 66.9%. For early-onset PE, at 10% FPR FMF had a DR 80.3%; MCH-HB had a DR 71.4%; IPI had a DR 81.5%. For preterm PE at 10% FPR, FMF had a DR 70.2%; MCH-HB had a DR 38.5%; IPI had a DR 66.9%. DISCUSSION: IPI algorithm is comparable to FMF and outperforms MCH-HB algorithm for all, early-onset, and preterm PE screening.

Indexed as

Pre-EclampsiaPregnancy Trimester, FirstPrenatal DiagnosisAdultAlgorithmsBiomarkersFemaleGestational AgeHumansIndonesiaPregnancyRisk FactorsROC CurveBiomarkers

Identifiers

PMID40394239
PMCPMC12431849

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.