Evidence map›Paper›PMID 30084045›Full record

ReviewCurrent treatment options in cardiovascular medicine2018

Updates on the Role of Imaging in Cardiac Sarcoidosis.

Yan Yatsynovich, Damian Valencia, Mikhail Petrov, Juan David Linares, Mufti M Rahman, Nathaniel Dittoe

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current treatment options in cardiovascular medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Arrhythmias in Cardiac Sarcoidosis Bench to Bedside: A Case-Based Review.Circulation. Arrhythmia and electrophysiology · 2021
    Review
  3. Prognostic insights of molecular imaging in cardiac sarcoidosis.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  4. Diagnosis and management of Granulomatous Myocarditis.Indian pacing and electrophysiology journal
    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 2 institutions in 1 country.

Yan YatsynovichDepartment of Internal Medicine, Kettering Medical Center, Dayton, OH, USA.
Damian ValenciaDepartment of Internal Medicine, Kettering Medical Center, Dayton, OH, USA.
Mikhail PetrovDepartment of Internal Medicine, Norwalk Hospital, Norwalk, CT, USA.
Juan David LinaresDepartment of Internal Medicine, Kettering Medical Center, Dayton, OH, USA.
Mufti M RahmanDepartment of Internal Medicine, Norwalk Hospital, Norwalk, CT, USA.
Nathaniel DittoeDepartment of Internal Medicine, Kettering Medical Center, Dayton, OH, USA. Nathaniel.Dittoe@ketteringhealth.org.
Kettering Medical Center · USNorwalk Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe non-specific symptom profile and subclinical nature of disease along with variable region of cardiac involvement in systemic sarcoidosis make the diagnosis particularly challenging. The yield of endomyocardial biopsy, a gold standard for diagnosis, is not high unless coupled with additional imaging modalities to detect regional involvement. This review is focused on highlighting the major recent advances in imaging modalities and diagnosis of cardiac sarcoidosis. RECENT

findingsThere has been much interest and increasing research focused on developing newer and improved imaging modalities to establish diagnosis. CMR and

Indexed as

Cardiac sarcoidosisCMRFDG-PETHybrid PET-CMRLGENon-invasive imaging

Identifiers

PMID30084045
OpenAlexW2887258339

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.