Evidence map›Paper›PMID 35696411›Full record

ArticlePloS one2022

Potential clinical relevance of cardiac magnetic resonance to diagnose cardiac light chain amyloidosis.

Zsofia Dohy, Liliana Szabo, Zoltan Pozsonyi, Ibolya Csecs, Attila Toth, Ferenc Imre Suhai, Csilla Czimbalmos, Andrea Szucs, Anna Reka Kiss, David Becker and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Imaging Advances in Light Chain Amyloidosis.Diagnostics (Basel, Switzerland) · 2026
    Review
  2. Review
  3. Article
  4. Evaluating the Role of Multimodal Imaging in the Diagnosis of Cardiac Amyloidosis and Hypertrophic Cardiomyopathy.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2025
    Article
  5. Review
  6. Article
  7. 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

12 authors at 1 institution in 1 country.

Zsofia DohyHeart and Vascular Center, Semmelweis University, Budapest, Hungary.ORCID 0000-0002-0706-5179
Liliana SzaboHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Zoltan PozsonyiDepartment of Internal Medicine and Haematology, Semmelweis University, Budapest, Hungary.
Ibolya CsecsHeart and Vascular Center, Semmelweis University, Budapest, Hungary.ORCID 0000-0001-5744-2414
Attila TothHeart and Vascular Center, Semmelweis University, Budapest, Hungary.ORCID 0000-0002-4081-7168
Ferenc Imre SuhaiHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Csilla CzimbalmosHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Andrea SzucsHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Anna Reka KissHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
David BeckerHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Bela MerkelyHeart and Vascular Center, Semmelweis University, Budapest, Hungary.ORCID 0000-0001-6514-0723
Hajnalka VagoHeart and Vascular Center, Semmelweis University, Budapest, Hungary.ORCID 0000-0002-3568-3572
Semmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile patients with cardiac transthyretin amyloidosis are easily diagnosed with bone scintigraphy, the detection of cardiac light chain (AL) amyloidosis is challenging. Cardiac magnetic resonance (CMR) analyses play an essential role in the differential diagnosis of cardiomyopathies; however, limited data are available from cardiac AL-Amyloidosis. Hence, the purpose of the present study was to analyze the potential role of CMR in the detection of cardiac AL-amyloidosis.

methodsWe included 35 patients with proved cardiac AL-amyloidosis and two control groups constituted by 330 patients with hypertrophic cardiomyopathy (HCM) and 70 patients with arterial hypertension (HT), who underwent CMR examination. The phenotype and degree of left ventricular (LV) hypertrophy and the amount and pattern of late gadolinium enhancement (LGE) were evaluated. In addition, global and regional LV strain parameters were also analyzed using feature-tracking techniques. Sensitivity and specificity of several CMR parameters were analyzed in diagnosing cardiac AL-amyloidosis.

resultsThe sensitivity and specificity of diffuse septal subendocardial LGE in diagnosing cardiac AL-amyloidosis was 88% and 100%, respectively. Likewise, the sensitivity and specificity of septal myocardial nulling prior to blood pool was 71% and 100%, respectively. In addition, a LV end-diastolic septal wall thickness ≥ 15 mm had an optimal diagnostic performance to differentiate cardiac AL-amyloidosis from HT (sensitivity 91%, specificity 89%). On the other hand, a reduced global LV longitudinal strain (< 15%) plus apical sparing (apex-to-base longitudinal strain > 2) had a very low sensitivity (6%) in detecting AL-Amyloidosis, but with very high specificity (100%).

conclusionsThe findings from this study suggest that CMR could have an optimal diagnostic performance in the diagnosis of cardiac AL-amyloidosis. Hence, further larger studies are warranted to validate the findings from this study.

Indexed as

Amyloid Neuropathies, FamilialCardiomyopathiesImmunoglobulin Light-chain AmyloidosisContrast MediaGadoliniumHumansHypertrophy, Left VentricularMagnetic Resonance SpectroscopyMyocardiumPredictive Value of TestsTomography, X-Ray ComputedContrast MediaGadolinium

Identifiers

PMID35696411
PMCPMC9191721
OpenAlexW4282839894

What OpenQuestion holds

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LicenceCC BY
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.