Evidence map›Paper›PMID 37301743›Full record

ArticleJournal of the American Heart Association2023

Identifying Patients at High Risk of Left Atrial Appendage Thrombus Before Cardioversion: The CLOTS-AF Score.

Louise Segan, Shane Nanayakkara, Ella Spear, Anita Shirwaiker, David Chieng, Sandeep Prabhu, Hariharan Sugumar, Liang-Han Ling, David M Kaye, Jonathan M Kalman and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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  4. De-risking Atrial Fibrillation: Refining Anticoagulation Decision-Making.American journal of cardiovascular drugs : drugs, devices, and other interventions · 2026
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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

12 authors at 4 institutions in 1 country.

Louise SeganThe Alfred Hospital Melbourne Australia.ORCID 0000-0001-5585-6146
Shane NanayakkaraThe Alfred Hospital Melbourne Australia.ORCID 0000-0002-0146-6588
Ella SpearMonash Health Melbourne Australia.
Anita ShirwaikerThe Alfred Hospital Melbourne Australia.ORCID 0000-0002-9758-6372
David ChiengThe Alfred Hospital Melbourne Australia.ORCID 0000-0002-4164-0923
Sandeep PrabhuThe Alfred Hospital Melbourne Australia.
Hariharan SugumarThe Alfred Hospital Melbourne Australia.ORCID 0000-0003-2236-0413
Liang-Han LingThe Alfred Hospital Melbourne Australia.ORCID 0000-0001-8393-2337
David M KayeThe Alfred Hospital Melbourne Australia.ORCID 0000-0003-4058-0372
Jonathan M KalmanUniversity of Melbourne Melbourne Australia.ORCID 0000-0002-6618-7184
Aleksandr VoskoboinikThe Alfred Hospital Melbourne Australia.ORCID 0000-0001-6990-302X
Peter M KistlerThe Alfred Hospital Melbourne Australia.ORCID 0000-0001-5369-5844
Baker Heart and Diabetes Institute · AUMonash Health · AUThe Alfred Hospital · AUThe Royal Melbourne Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Transesophageal echocardiography-guided direct cardioversion is recommended in patients who are inadequately anticoagulated due to perceived risk of left atrial appendage thrombus (LAAT); however, LAAT risk factors remain poorly defined. Methods and Results We evaluated clinical and transthoracic echocardiographic parameters to predict LAAT risk in consecutive patients with atrial fibrillation (AF)/atrial flutter undergoing transesophageal echocardiography before cardioversion between 2002 and 2022. Regression analysis identified predictors of LAAT, combined to create the novel CLOTS-AF risk score (comprising clinical and echocardiographic LAAT predictors), which was developed in the derivation cohort (70%) and validated in the remaining 30%. A total of 1001 patients (mean age, 62±13 years; 25% women; left ventricular ejection fraction, 49.8±14%) underwent transesophageal echocardiography, with LAAT identified in 140 of 1001 patients (14%) and dense spontaneous echo contrast precluding cardioversion in a further 75 patients (7.5%). AF duration, AF rhythm, creatinine, stroke, diabetes, and echocardiographic parameters were univariate LAAT predictors; age, female sex, body mass index, anticoagulant type, and duration were not (all

Indexed as

Atrial AppendageAtrial FibrillationHeart DiseasesStrokeThrombosisAgedCreatinineEchocardiography, TransesophagealElectric CountershockFemaleHumansMaleMiddle AgedRisk FactorsStroke VolumeVentricular Function, LeftCreatinineatrial fibrillationleft atrial appendage thrombusrisk predictionrisk stratificationstrokethromboembolismtransesophageal echocardiography

Identifiers

PMID37301743
PMCPMC10356043
OpenAlexW4380201617

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.