Evidence map›Paper›PMID 30741395›Full record

SynthesisJournal of echocardiography2019

Role of echocardiography in assessing cardiac amyloidoses: a systematic review.

Jun Koyama, Masatoshi Minamisawa, Yoshiki Sekijima, Koichiro Kuwahara, Tsutomu Katsuyama, Kazutoshi Maruyama

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of echocardiography, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Artificial Intelligence and Echocardiography.Journal of cardiovascular imaging · 2021
    Review
  6. 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

6 authors at 1 institution in 1 country.

Jun KoyamaDepartment of Internal Medicine, Maruko Central Hospital, Nakamaruko 1771-1, Ueda, Nagano, 386-0405, Japan. jkoyama@shinshu-u.ac.jp.ORCID 0000-0002-0644-4433
Masatoshi MinamisawaDepartment of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Yoshiki SekijimaDepartment of Medicine (Neurology and Rheumatology), Shinshu University School of Medicine, Matsumoto, Japan.
Koichiro KuwaharaDepartment of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Tsutomu KatsuyamaDepartment of Internal Medicine, Maruko Central Hospital, Nakamaruko 1771-1, Ueda, Nagano, 386-0405, Japan.
Kazutoshi MaruyamaDepartment of Internal Medicine, Maruko Central Hospital, Nakamaruko 1771-1, Ueda, Nagano, 386-0405, Japan.
Shinshu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac amyloidosis is a manifestation of one of several systemic amyloidoses, and is characterized by increased left-ventricular (LV) wall thickness and normal or decreased LV cavity size. Congestive heart failure in cardiac amyloidosis is characterized by a predominant diastolic LV dysfunction, and systolic dysfunction occurs only in late-stage disease. Echocardiography is a noninvasive, reproducible method for assessing cardiac morphology and function in cardiac amyloidosis, and some echocardiographic indices are prognostic for amyloidoses. This review describes the advances in echocardiography and its role in the diagnosis and management of cardiac amyloidoses. Our review suggests that LV longitudinal function and the cyclic variation of myocardial integrated backscatter may be the best predictors of adverse outcomes. In the future, new echocardiographic techniques, such as fully automated echocardiogram interpretation, should provide further useful information for assessing cardiac function and prognosis in cardiac amyloidosis patients.

Indexed as

AmyloidosisCardiomyopathiesEchocardiographyHeart VentriclesHumansPrognosisCardiac amyloidosisEchocardiographyMyocardial scintigraphyTransthyretin

Identifiers

PMID30741395
OpenAlexW2913044035

What OpenQuestion holds

Textmetadata
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.