Evidence map›Paper›PMID 39980786›Full record

ArticleEuropean heart journal supplements : journal of the European Society of Cardiology2025

Cardiac amyloidosis: Innovations in diagnosis and treatment.

Vincenzo Castiglione, Sabrina Montuoro, Giulia Orlando, Alberto Aimo, Giuseppe Vergaro, Michele Emdin

Abstract read
In one paragraph

Article in European heart journal supplements : journal of the European Society of Cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
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.

Vincenzo CastiglioneHealth Science Interdisciplinary Center, Scuola Superiore Sant'Anna, Via Giuseppe Moruzzi 1, Pisa 56124, Italy.
Sabrina MontuoroHealth Science Interdisciplinary Center, Scuola Superiore Sant'Anna, Via Giuseppe Moruzzi 1, Pisa 56124, Italy.
Giulia OrlandoHealth Science Interdisciplinary Center, Scuola Superiore Sant'Anna, Via Giuseppe Moruzzi 1, Pisa 56124, Italy.
Alberto AimoHealth Science Interdisciplinary Center, Scuola Superiore Sant'Anna, Via Giuseppe Moruzzi 1, Pisa 56124, Italy.
Giuseppe VergaroHealth Science Interdisciplinary Center, Scuola Superiore Sant'Anna, Via Giuseppe Moruzzi 1, Pisa 56124, Italy.
Michele EmdinHealth Science Interdisciplinary Center, Scuola Superiore Sant'Anna, Via Giuseppe Moruzzi 1, Pisa 56124, Italy.ORCID https://orcid.org/0000-0002-8541-1962

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac amyloidosis (CA) is a progressive, underdiagnosed condition caused by the deposition of misfolded proteins in the myocardium, forming amyloid fibrils that impair cardiac structure and function. This review highlights recent advances in the diagnosis and treatment of amyloid light-chain (AL) and transthyretin (ATTR) CA, which globally account for most cases of CA. Novel diagnostic tools, including artificial intelligence-enhanced analysis and advanced imaging modalities like positron emission tomography with amyloid-specific tracers, might improve detection rates and diagnostic accuracy to enable non-invasive subtype differentiation. Furthermore, many innovative treatments are being investigated. For AL-CA, anti-fibril therapies are showing promising results, complementing traditional chemotherapy and autologous stem cell transplantation. In ATTR-CA, gene silencing and anti-fibril therapies are being tested in clinical trials and hold promise of halting disease progression and reducing amyloid deposits, respectively.

Indexed as

AmyloidosisDiagnosisTreatment

Identifiers

PMID39980786
PMCPMC11836727

What OpenQuestion holds

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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 OpenQuestion graph.