Evidence map›Paper›PMID 42491001›Full record

ReviewFrontiers in cardiovascular medicine2026

Echocardiographic assessment of left atrioventricular coupling index: technical approaches and clinical implementation strategies.

Hengxiao Liu, Quan Li, Wenjie Han, Ziyao Shu, Peizhe Gao, Li Tian

Abstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2026. 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
–field-weighted citation impact
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

6 authors.

Hengxiao LiuHenan University of Chinese Medicine, Zhengzhou, China.
Quan LiHenan University of Chinese Medicine, Zhengzhou, China.
Wenjie HanHenan University of Chinese Medicine, Zhengzhou, China.
Ziyao ShuHenan University of Chinese Medicine, Zhengzhou, China.
Peizhe GaoHenan University of Chinese Medicine, Zhengzhou, China.
Li TianHenan University of Chinese Medicine, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Left Atrioventricular Coupling Index (LACI) is an emerging echocardiographic parameter for assessing left atrial and ventricular diastolic function. While accumulating evidence supports its prognostic value, technical standardization for clinical implementation remains lacking. Methods: This narrative review compares four LACI measurement approaches: two-dimensional echocardiography (2DE), real-time three-dimensional echocardiography (RT-3DE), speckle-tracking echocardiography (STE), and artificial intelligence (AI)-assisted analysis. We evaluate technical characteristics, standardization challenges, and evidence gaps. Results: Two-dimensional ultrasound is optimal for screening; RT-3DE shows highest consistency with cardiovascular magnetic resonance for precise diagnosis, and 3DE-LACI has demonstrated independent prognostic value in cardiac amyloidosis. STE aids mechanistic exploration but requires algorithmic standardization. AI demonstrates potential but needs multicenter validation. Key limitations include absent cross-platform calibration, fragmented reference values, and lack of externally validated cutoffs. Conclusion: LACI is a promising marker of diastolic function with proven prognostic value; however, technical heterogeneity and inconsistent thresholds have hindered its clinical application. Future efforts should focus on cross-manufacturer standardization, the establishment of reference values for specific populations, and randomized controlled trials evaluating LACI as a guide for treatment.

Indexed as

diastolic dysfunctionechocardiographyheart failureleft atrioventricular coupling indextechnical standardizationthree-dimensional echocardiography

Identifiers

PMID42491001
PMCPMC13375973

What Socratic holds

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LicenceCC BY
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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 Socratic graph.