Evidence map›Paper›PMID 36119343›Full record

ArticleJournal of family medicine and primary care2022

Profile of nonischemic dilated cardiomyopathy patients with long-term survival ≥10 years on medical therapy alone.

Inderjeet S Monga, Parminder Singh, Ajay Bahl

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 85% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Inderjeet S MongaDepartment of Cardiology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Parminder SinghDepartment of Cardiology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Ajay BahlDepartment of Cardiology, Postgraduate Institute of Medical Education and Research, 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

Background: Most studies have focussed on short and medium-term survival in dilated cardiomyopathy (DCM) patients. We aimed to study the profile and changes in left ventricular ejection fraction (LVEF) of nonischemic DCM patients who survived more than 10 years on medical management alone. Methods: This was a retrospective analysis of patients in the nonischemic DCM cohort recruited from April 2003 to January 2007 with LVEF ≤40%. All patients who survived at least 10 years from the initial DCM diagnosis and were on medical therapy alone were included in the study. Results: Forty of 127 (31.5%) patients survived over 10 years. Mean follow-up duration was 145.48 ± 16.8 months. Baseline left ventricular (LVEF) was 30.01 ± 7.89%. Of these, 26 (65%) patients showed recovery of LVEF. Eight (30.8%) of these had a relapse following initial recovery. 14 patients (35%) did not show improvement in LVEF. Multivariate analysis showed that only variable associated with sustained recovery of LVEF was shorter QRS duration with a mean QRS duration of 95.2 ± 11.3 ms versus 117.4 ± 22.6 ms in the two groups ( Conclusions: 31. 5% of patients with nonischemic DCM survived more than 10 years with medical therapy alone. Almost two-thirds of these long-term survivors showed recovery of LVEF. Narrow QRS duration predicted sustained recovery of LVEF.

Indexed as

Dilated cardiomyopathyleft ventricular ejection fractionsurvival

Identifiers

PMID36119343
PMCPMC9480773
OpenAlexW4285132658

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.