Evidence map›Paper›PMID 41906613›Full record

ArticleJACC. Advances2026

Telma Sprauel, Emmanuel Itti, Laetitia Imbert, Timothée Zaragori, Matthieu Doyen, Véronique Roch, Antoine Verger, Olivier Huttin, Caroline Jacquet, Erwan Donal and 12 more

Abstract read
In one paragraph

Article in JACC. Advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

22 authors.

Telma SprauelDepartment of Nuclear Medicine, CHRU Nancy, and Nancyclotep Platform, France.
Emmanuel IttiDepartment of Nuclear Medicine, CHU Henri-Mondor, Créteil, France.
Laetitia ImbertDepartment of Nuclear Medicine, CHRU Nancy, and Nancyclotep Platform, France; Université de Lorraine, IADI, INSERM U1254, Nancy, France.
Timothée ZaragoriUniversité de Lorraine, IADI, INSERM U1254, Nancy, France; CHRU-Nancy, Inserm, Université de Lorraine, Nancy, France.
Matthieu DoyenUniversité de Lorraine, IADI, INSERM U1254, Nancy, France; CHRU-Nancy, Inserm, Université de Lorraine, Nancy, France.
Véronique RochDepartment of Nuclear Medicine, CHRU Nancy, and Nancyclotep Platform, France.
Antoine VergerDepartment of Nuclear Medicine, CHRU Nancy, and Nancyclotep Platform, France; Université de Lorraine, IADI, INSERM U1254, Nancy, France.
Olivier HuttinDepartment of Cardiology, CHRU Nancy, Nancy, France; Université de Lorraine, DCAC, INSERM U1254, Nancy, France.
Caroline JacquetDepartment of Haematology, CHRU Nancy, Nancy, France.
Erwan DonalDepartment of Cardiology, CHU Rennes, Rennes, France; Université de Rennes, INSERM U1099, Rennes, France.
Florence LejeuneDepartment of Nuclear Medicine, Centre Eugène Marquis, Rennes, France.
Nicolas VeranDepartment of Nuclear Medicine, CHRU Nancy, and Nancyclotep Platform, France.
Juliette PiccoliDepartment of Cardiac Surgery, CHRU Nancy, Nancy, France.
Olivier LairezDepartment of Nuclear Medicine, CHU Toulouse, Toulouse, France; University of Toulouse, Toulouse University Hospital, HealthAge Institute, Toulouse, France; Department of Cardiology, CHU Toulouse, Toulouse, France.
Anne HitzelDepartment of Nuclear Medicine, CHU Toulouse, Toulouse, France.
Eve CariouDepartment of Cardiology, CHU Toulouse, Toulouse, France.
Benjamin ChambertDepartment of Nuclear Medicine, CHU Nimes, Nimes, France.
Camille SoullierDepartment of Cardiology, CHU Nimes, Nimes, France.
Amira ZarouiRefferal Center for Cardiac Amyloidosis and Réseau Amylose, CHU Henri-Mondor, Créteil, France; Department of Cardiology, CHU Henri-Mondor and Université Paris Est Créteil, Créteil, France.
Gabriela HossuUniversité de Lorraine, IADI, INSERM U1254, Nancy, France; CHRU-Nancy, Inserm, Université de Lorraine, Nancy, France.
Thibaud DamyRefferal Center for Cardiac Amyloidosis and Réseau Amylose, CHU Henri-Mondor, Créteil, France; Department of Cardiology, CHU Henri-Mondor and Université Paris Est Créteil, Créteil, France.
Pierre-Yves MarieDepartment of Nuclear Medicine, CHRU Nancy, and Nancyclotep Platform, France; Université de Lorraine, IADI, INSERM U1254, Nancy, France. Electronic address: py.marie@chru-nancy.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

objectivesThe purpose of this study was to identify CA and differentiate AL-CA from ATTR-CA (transthyretin) by evaluating cardiac and multi-organ involvement with whole-body

methodsMulticentric study of 61 patients with left ventricular hypertrophy due to AL-CA (n = 25), ATTR-CA (n = 25), and aortic stenosis (n = 11, controls). A 20-minute whole-body PET was preceded by a 10-minute dynamic cardiac PET recording started during

resultsTracer uptake was significantly increased in whole-body PET of CA patients compared to controls, with AL-CA patients, in particular, exhibiting increased uptake in myocardium, lung, and spleen, and decreased uptake in blood, salivary glands, skeletal muscle, and liver. Among cardiac parameters, the myocardial/blood standardized uptake value (SUV)max ratio from whole-body PET best differentiated AL-CA from ATTR-CA, with 90% (55/61) of patients identified correctly (kappa value: 0.819) using SUVmax ratio thresholds of 2-to-4 for ATTR-CA and >4 for AL-CA. When combining cardiac with extracardiac PET variables, the selected multivariate predictors were myocardial uptake volume and the lung and salivary gland SUVmean. Thresholds of myocardial uptake volume >10 mL for CA and lung/salivary gland SUVmean >0.285 for AL-CA correctly identified 93% (57/61) of patients (kappa value: 0.871). PET variables improved the overall prediction provided by the bone scan Perugini score (P < 0.001).

conclusionsWhole-body

Indexed as

(18)F-florbetabencardiac amyloidosisPETwhole-body

Identifiers

PMID41906613
PMCPMC13352038

What OpenQuestion holds

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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 OpenQuestion graph.