Evidence map›Paper›PMID 28405937›Full record

ReviewCurrent cardiology reports2017

New Cardiac Imaging Algorithms to Diagnose Constrictive Pericarditis Versus Restrictive Cardiomyopathy.

Ahmad Mahmoud, Manish Bansal, Partho P Sengupta

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Big Data in cardiac surgery: real world and perspectives.Journal of cardiothoracic surgery · 2022
    Pooled it
  2. Review
  3. Heartfelt struggles: When ablation brings the squeeze.Global cardiology science & practice · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. Clinical Applications of Echo Strain Imaging: a Current Appraisal.Current treatment options in cardiovascular medicine · 2019
    Review
  8. Artificial intelligence and echocardiography.Echo research and practice · 2018
    Review
  9. 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

3 authors at 3 institutions in 3 countries.

Ahmad MahmoudDepartment of Cardiovascular Medicine, Ain Shams University, Cairo, Egypt.
Manish BansalHeart Institute - Division of Cardiology, Medanta- The Medicity, Gurgaon, India.
Partho P SenguptaHeart and Vascular Institute, West Virginia University, 1 Medical Center Drive, Morgantown, WV, 26506, USA. Partho.Sengupta@wvumedicine.org.
Ain Shams University · EGMedanta The Medicity · INWest Virginia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewEchocardiography is the mainstay in the diagnostic evaluation of constrictive pericarditis (CP) and restrictive cardiomyopathy (RCM), but no single echocardiographic parameter is sufficiently robust to accurately distinguish between the two conditions. The present review summarizes the recent advances in echocardiography that promise to improve its diagnostic performance for this purpose. The role of other imaging modalities such as cardiac computed tomography, magnetic resonance imaging, and invasive hemodynamic assessment in the overall diagnostic approach is also discussed briefly. RECENT

findingsA recent study has demonstrated improved diagnostic accuracy of echocardiography with integration of multiple conventional echocardiographic parameters in to a step-wise algorithm. Concurrently, the studies using speckle-tracking echocardiography have revealed distinct and disparate patterns of myocardial mechanical abnormalities in CP and RCM with their ability to distinguish between the two conditions. The incorporation of machine-learning algorithms into echocardiography workflow permits easy integration of the wealth of the diagnostic data available and promises to further enhance the diagnostic accuracy of echocardiography. New imaging algorithms are continuously being evolved to permit accurate distinction between CP and RCM. Further research is needed to validate the accuracy of these newer algorithms and to define their place in the overall diagnostic approach for this purpose.

Indexed as

AlgorithmsCardiac Imaging TechniquesCardiomyopathy, RestrictiveDecision Support TechniquesDiagnosis, DifferentialHumansPericarditis, ConstrictivePredictive Value of TestsMachine-learningMyocardial deformation imagingSpeckle tracking echocardiography

Identifiers

PMID28405937
OpenAlexW2607054060

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.