Evidence map›Paper›PMID 35112308›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2022

Evaluation of stress myocardial blood flow patterns in patients with apical hypertrophic cardiomyopathy.

Raffaella Calabretta, Aurora Kokomani, Carlo Fumagalli, Iacopo Olivotto, Paolo G Camici, Marcus Hacker, Roberto Sciagrà

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Raffaella CalabrettaNuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy. raffaella.calabretta@meduniwien.ac.at.
Aurora KokomaniNuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
Carlo FumagalliCardiomyopathy Unit, Careggi University Hospital, Florence, Italy.
Iacopo OlivottoCardiomyopathy Unit, Careggi University Hospital, Florence, Italy.
Paolo G CamiciVita Salute University and Scientific Institute San Raffaele, Milan, Italy.
Marcus HackerDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Roberto SciagràNuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
University of Florence · ITAzienda Ospedaliero-Universitaria Careggi · ITMedical University of Vienna · ATVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmong the other variants, the apical pattern of hypertrophic cardiomyopathy (AHCM) is probably the most important, with possible aneurysmatic evolution. METHODS AND

resultsWe analyzed 12 patients with AHCM who underwent [

conclusionIn patients with AHCM, more severe apical microvascular impairment was found as compared to patients with classical septal HCM, supporting the suspicion that ischemia could play a role in the future aneurysmatic evolution of AHCM.

Indexed as

Cardiomyopathy, HypertrophicMyocardial Perfusion ImagingCoronary CirculationHumansPericardiumPositron-Emission TomographyPositron Emission Tomography Computed TomographyApexHypertrophic cardiomyopathyMyocardial blood flowPositron emission tomography

Identifiers

PMID35112308
OpenAlexW4210498065

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.