Evidence map›Paper›PMID 42211248›Full record

ArticleInternational journal of cardiology. Heart & vasculature2026

Integrating left atrial appendage morphology and lipoprotein(a) improves thrombus risk stratification in atrial fibrillation: a retrospective cohort study.

Xueli Song, Jingyan Yang, Ying Li, Zixiong Zhao, Dongling Xu, Juan Wang, Xin Wang, Juan Zhang

Abstract read
In one paragraph

Article in International journal of cardiology. Heart & vasculature, 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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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

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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.

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

8 authors.

Xueli SongDepartment of Cardiology, The Second Qilu Hospital of Shandong University, Jinan, Shandong, China.
Jingyan YangDepartment of Pathology, The Second Qilu Hospital of Shandong University, Jinan, Shandong, China.
Ying LiThe Second Clinical School, Shandong University, Jinan, Shandong, China.
Zixiong ZhaoThe Second Clinical School, Shandong University, Jinan, Shandong, China.
Dongling XuDepartment of Cardiology, The Second Qilu Hospital of Shandong University, Jinan, Shandong, China.
Juan WangDepartment of Cardiology, The Second Qilu Hospital of Shandong University, Jinan, Shandong, China.
Xin WangDepartment of Cardiology, The Second Qilu Hospital of Shandong University, Jinan, Shandong, China.
Juan ZhangDepartment of Cardiology, The Second Qilu Hospital of Shandong University, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurate assessment of thrombus risk in atrial fibrillation (AF) requires the integration of structural and metabolic factors, which are insufficiently addressed by current clinical risk scores. We developed a model that added LAA morphology and metabolic markers, and compared it with the CHA Methods: This retrospective cohort study included 418 participants (262 AF patients without thrombus and 156 AF patients with thrombus). Data on medical history, contrast‑enhanced computed tomography with three‑dimensional reconstruction, and metabolic profiling were retrospectively collected. Results: The final model comprised six independent predictors: non‑paroxysmal AF, CHA Conclusions: Integrating LAA OEI and Lp(a) with clinical factors improves thrombus risk stratification in patients with AF compared with the CHA

Indexed as

Atrial fibrillationLeft atrial appendage morphologyLipoprotein(a)Risk stratificationThrombus

Identifiers

PMID42211248
PMCPMC13213798

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.