Evidence map›Paper›PMID 40985278›Full record

ReviewEuropean journal of clinical investigation2026

Central nervous system involvement in cardiac amyloidosis: Redefining the heart-brain axis.

Domenico Mario Giamundo, Giuliano Cassataro, Stefano Ministrini, Simon F Stämpfli

Abstract readReview
In one paragraph

Review in European journal of clinical investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

4 authors.

Domenico Mario GiamundoDepartment of Systems Medicine, "Tor Vergata" University, Rome, Italy.ORCID https://orcid.org/0009-0000-2161-3066
Giuliano CassataroDepartment of Medicine and Pulmonology, Fondazione Istituto "G. Giglio", Cefalù, Italy.ORCID https://orcid.org/0000-0001-8511-3589
Stefano MinistriniCenter for Molecular Cardiology, University of Zurich, Schlieren, Switzerland.ORCID https://orcid.org/0000-0003-4358-6411
Simon F StämpfliCenter for Molecular Cardiology, University of Zurich, Schlieren, Switzerland.ORCID https://orcid.org/0000-0003-3690-8216

Funding

GAMBIT Gemeinnützige StiftungPfizer Competitive Research
6 · The paper itself

Abstract

backgroundAmyloidosis is characterised by the extracellular accumulation of misfolded proteins forming amorphous aggregates called amyloid. Cardiac amyloidosis results from myocardial involvement in systemic amyloidosis, leading to impaired heart function. Besides myocardial involvement, cardiac amyloidosis may also directly and indirectly affect the central nervous system.

methodsThis narrative review summarises current evidence about on central nervous system involvement in cardiac amyloidosis and the pathophysiological mechanisms linking heart and brain in the context of this systemic disease.

resultsAlthough the pathophysiological relationship between cardiac amyloidosis and cognitive decline remains poorly understood, central nervous system involvement likely results from the complex interplay of direct amyloid deposition, cerebrovascular changes, and cardiac dysfunction.

conclusionThe growing awareness of cognitive impairment in patients with cardiac amyloidosis highlights the need for further research and supports a multidisciplinary approach in the assessment and management of affected individuals.

Indexed as

AmyloidosisCardiomyopathiesCognitive DysfunctionBrainHumansamyloidosiscardiac amyloidosiscognitive declineischemic strokeneurodegenerationsystemic amyloidosis

Identifiers

PMID40985278
PMCPMC12811839

What Socratic holds

Textmetadata
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 Socratic graph.