Evidence map›Paper›PMID 36447601›Full record

ArticleJournal of the Saudi Heart Association2022

Role of Speckle Tracking Echocardiography to Predict Left Ventricular Dysfunction Post Mitral Valve Replacement Surgery for Severe Mitral Regurgitation.

Parth Shanishwara, Pooja Vyas, Hasit Joshi, Iva Patel, Gajendra Dubey, Jignesh Patel, Shubham Sharma

Open access · diamondAbstract read
In one paragraph

Article in Journal of the Saudi Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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

7 authors at 1 institution in 1 country.

Parth ShanishwaraDeparatment of Cardiology, P.P. Savani Heart Institute, Near Mansi Building, Opposite Kapodara Police Station, Varachha Road, Surat, 395006, Gujarat, India.
Pooja VyasDeparatment of Cardiology, U. N. Mehta Institute of Cardiology and Research Centre (UNMICRC), Civil Hospital Campus, Asarwa, Ahmedabad, 380016, Gujarat, India.
Hasit JoshiDeparatment of Cardiology, U. N. Mehta Institute of Cardiology and Research Centre (UNMICRC), Civil Hospital Campus, Asarwa, Ahmedabad, 380016, Gujarat, India.
Iva PatelResearch Department, U. N. Mehta Institute of Cardiology and Research Centre (UNMICRC), Civil Hospital Campus, Asarwa, Ahmedabad, 380016, Gujarat, India.
Gajendra DubeyDeparatment of Cardiology, U. N. Mehta Institute of Cardiology and Research Centre (UNMICRC), Civil Hospital Campus, Asarwa, Ahmedabad, 380016, Gujarat, India.
Jignesh PatelDeparatment of Cardiology, U. N. Mehta Institute of Cardiology and Research Centre (UNMICRC), Civil Hospital Campus, Asarwa, Ahmedabad, 380016, Gujarat, India.
Shubham SharmaDeparatment of Cardiology, U. N. Mehta Institute of Cardiology and Research Centre (UNMICRC), Civil Hospital Campus, Asarwa, Ahmedabad, 380016, Gujarat, India.
Ahmedabad Civil Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite improvement in the surgical procedure and strictly following the guidelines for mitral valve replacement (MVR), left ventricular dysfunction still occurs. Novel echocardiographic indices can predict development of LV (left ventricle) dysfunction post MVR. LV-GLS (global longitudinal strain) derived from speckle tracking echocardiography, has been proposed as a novel measure to better depict latent LV dysfunction. Methods: A total of 100 patients with severe MR (mitral regurgitation) planned for MVR were included. Speckle tracking echocardiography was performed at baseline and at follow up post MVR. ROC (Receiver operating characteristics) curve was plotted to derive the cutoff value of LV-GLS for prediction of LV dysfunction post MVR. Univariate and multi variate regression was analyzed to predict the independent predictors of LV dysfunction after MVR. Results: LV-GLS was decreased from baseline data (-19.9 vs. -17.7) in patients with LVEF <50% after MVR compared to patients with LVEF≥ 50%. Baseline value of LVESD (35.36 mm vs. 28.23 mm) and LVEDD (49.33 mm vs. 45.10 mm) were significantly higher in patients with LVEF<50% compared to LVEF ≥50% at 3 months follow up. A cutoff value of GLS -19% with sensitivity of 80.3% and specificity of 75.7% was associated in patients with LV dysfunction after MVR. In multivariate regression model GLS < -19% (OR = 21.8, CI:6.61-82.4, P=<0.001) was an independent predictor of LV dysfunction post MVR. Conclusion: A GLS value of less than -19% was demonstrated as an independent predictor of short term LV dysfunction after mitral valve surgery, LVESD ≥40 mm was also verified additional parameter to predict the LV dysfunction post MVR.

Indexed as

Global longitudinal strainLeft ventricular dysfunctionMitral valve replacement

Identifiers

PMID36447601
PMCPMC9671149
OpenAlexW4308628226

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.