Evidence map›Paper›PMID 30209757›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2020

Prognostic value of left ventricular mechanical dyssynchrony indices in long-standing type II diabetes mellitus with normal perfusion and left ventricular systolic functions on SPECT-MPI.

Dharmender Malik, Bhagwant Rai Mittal, Ashwani Sood, Madan Parmar, Komalpreet Kaur, Ajay Bahl

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Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Impact of early post-stressThe international journal of cardiovascular imaging · 2021
    Article
  3. Article
  4. Left ventricular dyssynchrony in diabetes mellitus.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  5. Article
  6. Phase Analysis: A New Armamentarium in Nuclear Cardiology.Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Dharmender MalikNuclear Medicine, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Bhagwant Rai MittalNuclear Medicine, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Ashwani SoodNuclear Medicine, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India. sood99@yahoo.com.
Madan ParmarNuclear Medicine, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Komalpreet KaurNuclear Medicine, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Ajay BahlCardiology, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Post Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo test whether phase analysis indices from SPECT-MPI for left ventricular mechanical dyssynchrony (LVMD) are predictors of major adverse cardiac events (MACEs) in long-standing diabetes mellitus (DM).

methodsA total of 136 DM patients with normal perfusion and left ventricular systolic functions were followed up for about two years and divided into two groups according to the presence and the absence of MACEs.

resultThirteen (9.5%) patients experienced MACEs during follow-up. Patients experiencing MACEs showed significantly higher phase standard deviation (PSD) and wider phase bandwidth (PBW) than those who did not. Moreover, both PSD and PBW showed significant correlations (r = 0.25 and 0.27; P < 0.05) with duration of DM. Logistic regression analysis revealed significant associations of DM duration, microvascular complications, and LVMD indices for predicting MACEs. Kaplan-Meier event-free survival analysis revealed significantly higher rate of MACEs (Logrank = 10.02; P = 0.001) in patients with high PSD and wide PBW. An overall fit model consisting of high-PSD and wide-PBW group was improved with the addition of microvascular complications (χ

conclusionLVMD indices are novel prognostic markers in diabetic patients with normal perfusion and left ventricular systolic functions and their increases in magnitudes with DM-duration and in the presence of microvascular complications.

Indexed as

AdultAgedAged, 80 and overCardiac-Gated Single-Photon Emission Computer-Assisted TomographyCohort StudiesDiabetes Mellitus, Type 2Disease-Free SurvivalFemaleHumansMaleMiddle AgedMyocardial Perfusion ImagingPredictive Value of TestsPrognosisVentricular Dysfunction, LeftDiabetes mellitusLVMD indicesphase analysisphase bandwidthphase standard deviationSPECT-MPI

Identifiers

PMID30209757
OpenAlexW2890520929

What OpenQuestion holds

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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.