Evidence map›Paper›PMID 32795180›Full record

ReviewThe British journal of radiology2020

Advanced cardiac magnetic resonance imaging in takotsubo cardiomyopathy.

Vineeta Ojha, Rishabh Khurana, Kartik P Ganga, Sanjeev Kumar

Open access · greenAbstract readReview
In one paragraph

Review in The British journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
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

24 citing papers in PubMed, 37 citations in OpenAlex.

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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 at 1 institution in 1 country.

Vineeta OjhaDepartment of Cardiovascular Radiology and Endovascular Interventions, All India Institute of Medical Sciences, New Delhi, India-110029.
Rishabh KhuranaDepartment of Cardiovascular Radiology and Endovascular Interventions, All India Institute of Medical Sciences, New Delhi, India-110029.
Kartik P GangaDepartment of Cardiovascular Radiology and Endovascular Interventions, All India Institute of Medical Sciences, New Delhi, India-110029.
Sanjeev KumarDepartment of Cardiovascular Radiology and Endovascular Interventions, All India Institute of Medical Sciences, New Delhi, India-110029.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Takotsubo cardiomyopathy (TC) is a reversible condition in which there is transient left ventricular (LV) dysfunction characterised most commonly by basal hyperkinesis and mid-apical LV ballooning and hypokinesia. It is said to be triggered by stress and mimics, such as acute coronary syndrome (ACS) clinically. Diagnosis is usually suspected on echocardiography due to the characteristic contraction pattern in a patient with symptoms and signs of ACS but normal coronary arteries on catheter angiography. Cardiac magnetic resonance (CMR), with its latest advancements, is the diagnostic modality of choice for diagnosis, prognosis and follow-up of patients. The advances in CMR (including T1, T2, ECV mapping and threshold-based late gadolinium enhancement (LGE) measurements have revolutionised the role of CMR in tissue characterisation and prognostication in patients with TC. In this review, we highlight the current role of CMR in management of TC and enumerate the CMR findings in TC as well the current advances in the field of CMR, which could help in prognosticating these patients.

Indexed as

AlgorithmsCoronary CirculationEdema, CardiacFibrosisGadoliniumHumansImage EnhancementMagnetic Resonance ImagingMagnetic Resonance Imaging, CineMyocardial ContractionMyocardiumTakotsubo CardiomyopathyGadolinium

Identifiers

PMID32795180
PMCPMC8519651
OpenAlexW3049538312

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.