Evidence map›Paper›PMID 42575971›Full record

ArticleScientific reports2026

Noninvasive assessment of fetal metabolic acidemia by automated analysis of cardiac function using color tissue Doppler imaging in a sheep model.

Huan Liang, Jonas Johnson, Juulia Lantto, Heikki Huhta, Mervi Haapsamo, Merja Kokki, Hanna-Marja Voipio, Magnus Westgren, Amar Bhide, Juha Räsänen and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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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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

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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.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Huan Liang *Division of Obstetrics and Gynecology, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, 14186, Stockholm, Sweden.
Jonas Johnson *Division of Obstetrics and Gynecology, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, 14186, Stockholm, Sweden.
Juulia LanttoDivision of Obstetrics and Gynecology, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, 14186, Stockholm, Sweden.
Heikki HuhtaTranslational Research Group, Oulu University Hospital and Oulu University, Oulu, Finland.
Mervi HaapsamoCentral Hospital of Central Ostrobothnia and Oulu University, Oulu, Finland.
Merja KokkiAnesthesiology and Intensive Care, Kuopio University Hospital, Kuopio, Finland.
Hanna-Marja VoipioOulu Laboratory Animal Centre, Oulu University Hospital and Oulu University, Oulu, Finland.
Magnus WestgrenDivision of Obstetrics and Gynecology, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, 14186, Stockholm, Sweden.
Amar BhideFetal Medicine Unit, St George's University Hospitals NHS Foundation Trust, London, UK.
Juha RäsänenDepartment of Obstetrics and Gynecology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Ganesh AcharyaDivision of Obstetrics and Gynecology, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, 14186, Stockholm, Sweden. ganesh.acharya@ki.se.ORCID 0000-0002-1997-3107

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable noninvasive methods for accurately diagnosing fetal metabolic acidemia are still lacking. Our aim was to evaluate an ultrasound-based noninvasive method for assessing metabolic acidemia by an automated analysis of cardiac motion using color tissue Doppler imaging (cTDI) of the fetal heart in an experimental sheep model. Ten pregnant sheep and their fetuses were instrumented at 119-120 days gestation under general anesthesia. After a four-day recovery period, fetal arterial blood pressure, blood gases and heart rate were measured invasively. Cine-loops of cTDI images of the fetal heart were recorded at baseline and every 15 min for 3 h after uterine artery occlusion followed by epidural anesthesia and maternal hypo-oxygenation aiming to achieve a fetal arterial pH ≤  7.2 or base excess ≤ - 12 mmol/L or lactate > 4.8 mmol/L. The cTDI images were analyzed using an automated algorithm to measure myocardial velocities, cardiac cycle time intervals and atrioventricular plane displacement (AVPD). A Bayesian multivariate multilevel model was fitted to quantify associations between fetal cardiac function parameters and blood gas values. Data from eight fetuses were available for analyses. Among 21 predictors, left AVPD showed credible associations with fetal arterial pH, base excess and lactate and was the strongest and most robust single predictor with the association driven by within-fetus change over time rather than differences between animals. Left ventricular systolic peak velocity and right ventricular pre-ejection period showed similar but weaker associations, consistent with a shared myocardial mechanism rather than independent predictors. No other parameter showed credible associations with all three outcomes. Decreased left AVPD measured by automated analysis of cTDI cine-loops of the heart was associated with fetal acid-base status and may represent a candidate noninvasive marker of metabolic acidemia, warranting further validation.

Indexed as

AcidosisFetal HeartUltrasonography, PrenatalAnimalsDisease Models, AnimalFemalePregnancySheep

Identifiers

PMID42575971
PMCPMC13457862

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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.