Evidence map›Paper›PMID 42491972›Full record

ArticleJournal of medical ultrasound

Doppler Assessment of Fetal Pulmonary Artery as a Predictor in Neonatal Respiratory Distress.

Amandeep Singh, Vivek Sumbra

Abstract read
In one paragraph

Article in Journal of medical ultrasound. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

2 authors.

Amandeep SinghDepartment of Radiodiagnosis and Imaging, Sri Guru Ramdas Institute of Medical Sciences and Research, Amritsar, Punjab, India.
Vivek SumbraDepartment of Radiodiagnosis and Imaging, Sri Guru Ramdas Institute of Medical Sciences and Research, Amritsar, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Respiratory distress (RD) in newborns is a major cause of neonatal morbidity and mortality. Evaluating fetal lung maturity before labor is therefore essential, particularly in high-risk pregnancies where early termination may be considered. A key clinical challenge is identifying fetuses at risk for respiratory distress syndrome (RDS) to optimize the timing of delivery. Methods: This prospective study included pregnant women between 28 and 40 weeks of gestation. Doppler ultrasound was performed within 72 hours of delivery, assessing the fetal main pulmonary artery (MPA) parameters including resistance index (RI), pulsatility index (PI), and the acceleration-to-ejection time (At/Et) ratio. Scans were conducted using advanced ultrasound systems equipped with modern obstetric and fetal echocardiography software. After birth, neonates were evaluated for RD based on birth weight, APGAR score, clinical signs (such as tachypnea, chest retractions, grunting, and wheezing), and need for neonatal intensive care unit (NICU) admission. Results: The At/Et ratio of the fetal pulmonary artery showed significant predictive value for the occurrence of neonatal RDS. Among the Doppler indices assessed, the At/Et ratio demonstrated the highest sensitivity and specificity in predicting fetal lung maturity and the risk of neonatal respiratory distress. Conclusion: The At/Et ratio measured in the fetal pulmonary artery is a promising non-invasive marker for assessing fetal lung maturity and predicting the development of neonatal RDS. Larger studies are warranted to validate its clinical utility and potential as an alternative to amniocentesis in the prevention of neonatal RDS.

Indexed as

Antenatal sonographyfetal Dopplerfetal pulmonary arteryfetal ultrasonographyrespiratory distress

Identifiers

PMID42491972
PMCPMC13379166

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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.