Evidence map›Paper›PMID 29623849›Full record

ReviewCurrent cardiology reviews2018

Cardiac Imaging in Systemic Diseases: What the Clinician should Know.

Cesar J Herrera, Pamela Pina, Jorge Martinez, Mario J Garcia

Abstract readReview
In one paragraph

Review in Current cardiology reviews, 2018. 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. Beyond the heart: a pictorial review of extracardiac findings on cardiac CT.The international journal of cardiovascular imaging · 2026
    Review
  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

4 authors.

Cesar J HerreraDepartment of Cardiology, CEDIMAT Cardiovascular Center, Santo Domingo, Dominican Republic.
Pamela PinaDepartment of Cardiology, CEDIMAT Cardiovascular Center, Santo Domingo, Dominican Republic.
Jorge MartinezDepartment of Cardiology, CEDIMAT Cardiovascular Center, Santo Domingo, Dominican Republic.
Mario J GarciaMontefiore Center for Heart & Vascular Care, Albert Einstein College of Medicine, New York, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceSystemic diseases that affect the cardiovascular system constitute a diagnostic and therapeutic challenge for all specialists involved; imaging tools along with clinical suspicion play an essential role in their evaluation. These entities share neurological, immunological, renal, hematologic, oncologic, infectious and endocrine processes, all of which may have associated cardiac involvement. OBSERVATIONS: Recent advances in cardiac ultrasound, Computed Tomography (CT), cardiac Magnetic Resonance (CMR) and nuclear scintigraphy have impacted the management of these conditions when involving the heart since they provide valuable anatomical and functional information while avoiding the use of invasive techniques. For this review, bibliographic sources were gathered from diverse databases, including PubMed, Cochrane, EBSCO and Google Scholar, concentrating on English language publications dealing with the clinical use of these tools.

conclusionClinical suspicion should always guide the use of imaging since in many instances, these techniques only play a supportive role rather than representing a diagnostic gold standard. Early diagnosis is critical due to the fact that cardiac manifestations are commonly a late phenomenon.

Indexed as

EchocardiographyHeartHumansTomography, X-Ray ComputedCardiac Magnetic Resonance (CMR)cardiovascular imagingclinicianComputed Tomography (CT)invasive techniquesnuclear scintigraphy.Systemic diseases

Identifiers

PMID29623849
PMCPMC6131404

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.