Evidence map›Paper›PMID 35917093›Full record

ArticleJournal of ultrasound2023

Ophthalmic artery Doppler for pre-eclampsia prediction at the first trimester: a Bayesian survival-time model.

Raden Aditya Kusuma, Detty Siti Nurdiati, Adly Nanda Al Fattah, Didi Danukusumo, Sarini Abdullah, Ivan Sini

Open access · greenAbstract read
In one paragraph

Article in Journal of ultrasound, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Comparison of first trimester preeclampsia combined screening performances with various approaches in the Indonesian population.Journal of perinatology : official journal of the California Perinatal Association · 2025
    Article
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  7. Article
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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

6 authors at 4 institutions in 1 country.

Raden Aditya KusumaDepartment of Obstetrics and Gynecology, Harapan Kita National Women and Children Hospital, Letjen S. Parman Street, Number Kav 87, Palmerah, West Jakarta, 11420, Jakarta, Indonesia. samtida98@gmail.com.ORCID http://orcid.org/0000-0002-9164-4471
Detty Siti NurdiatiDepartment of Obstetrics and Gynecology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Dr. Sardjito Hospital, Yogyakarta, Indonesia.ORCID http://orcid.org/0000-0002-3643-5925
Adly Nanda Al FattahIndonesian Prenatal Institute, Jakarta, Indonesia.ORCID http://orcid.org/0000-0003-0836-4290
Didi DanukusumoDepartment of Obstetrics and Gynecology, Harapan Kita National Women and Children Hospital, Letjen S. Parman Street, Number Kav 87, Palmerah, West Jakarta, 11420, Jakarta, Indonesia.
Sarini AbdullahDepartment of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Jakarta, Indonesia.
Ivan SiniMorula IVF Jakarta Clinic, Jakarta, Indonesia.ORCID http://orcid.org/0000-0002-5364-0381
Pembuluh Darah Harapan Kita · IDIndonesian Pediatric Society · IDUniversitas Gadjah Mada · IDUniversity of Indonesia · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a Bayesian survival-time model for the prediction of pre-eclampsia (PE) at the first trimester using a combination of established biomarkers including maternal characteristics and history, mean arterial pressure (MAP), uterine artery Doppler pulsatility index (UtA-PI), and Placental Growth Factor (PlGF)) with an ophthalmic artery Doppler peak ratio (PR) analysis.

methodsThe receiving operator curve (ROC) analysis was used to determine the area under the curve (AUC), detection rate (DR), and positive screening cut-off value of the model in predicting the occurrence of early-onset PE (< 34 weeks' gestation) and preterm PE (< 37 weeks' gestation).

resultsOf the 946 eligible participants, 71 (7.49%) subjects were affected by PE. The incidences of early-onset and preterm PE were 1% and 2.2%, respectively. At a 10% false-positive rate, using the high-risk cut-off 1:49, with AUC 0.981 and 95%CI 0.965-0.998, this model had an 100% of DR in predicting early-onset PE. The DR of this model in predicting preterm PE is 71% when using 1:13 as the cut-off, with AUC 0.919 and 95%CI 0.875-0.963.

conclusionCombination ophthalmic artery Doppler PR with the previously established biomarkers could improve the accuracy of early and preterm PE prediction at the first trimester screening.

Indexed as

Pre-EclampsiaBayes TheoremBiomarkersFemaleHumansInfant, NewbornOphthalmic ArteryPlacenta Growth FactorPregnancyPregnancy Trimester, FirstPulsatile FlowBiomarkersPlacenta Growth FactorBayesianOphthalmic arteryPre-eclampsiaSurvival model

Identifiers

PMID35917093
PMCPMC10063770
OpenAlexW4289519549

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.