Evidence map›Paper›PMID 39587523›Full record

SynthesisBMC cardiovascular disorders2024

Prognostic value of mechanical dyssynchrony in patients with heart failure: a systematic review.

Ziqi Chen, Qiang Qu, Iokfai Cheang, Xinyi Lu, Shengen Liao, Rongrong Gao, Yanli Zhou, Xinli Li

Abstract readSystematic Review
In one paragraph

Synthesis in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Ziqi Chen *State Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Qiang Qu *State Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Iokfai CheangState Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Xinyi LuState Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Shengen LiaoState Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Rongrong GaoState Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Yanli ZhouState Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. zhyl88@qq.com.
Xinli LiState Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. xinli3267@yeah.net.

Funding

Excellent Young Scientists Fund of Jiangsu BK20231538General Program of National Natural Science Foundation of China 82370389, 81970339,82200425The National High Technology Research and Development Program of China 2017YFC1700505
6 · The paper itself

Abstract

backgroundHeart failure (HF) significantly impacts quality of life and healthcare systems worldwide. Assessing left ventricular mechanical dyssynchrony (LVMD) is crucial for understanding cardiac function and optimizing treatments like cardiac resynchronization therapy (CRT). Phase analysis using gated single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) has shown promise in predicting outcomes, yet recent comprehensive reviews are lacking.

objectiveTo systematically assess the prognostic value of phase analysis by gated SPECT MPI in the HF population through a systematic review.

methodsWe conducted a systematic review by collecting studies from databases including PubMed, CINAHL, and Web of Science. Two reviewers independently performed study selection, data extraction, and risk of bias assessment. Systematic reviews were conducted using Review Manager Software 5.4 and STATA 16.0.

resultsA total of 2004 patients from seven studies were included in our review and analysis. The systematic review indicated that patients with predetermined clinical events had higher PSD [MD = 6.45, 95% CI (5.83, 7.07), p < 0.00001] and PBW [MD = 7.91, 95% CI (5.64, 10.19), p < 0.00001]. The diagnosis of LVMD determined by PSD [HR = 1.05, 95% CI (1.01, 1.08), p = 0.007] was a strong predictor of endpoint events compared to PBW [HR = 1.95, 95% CI (0.48, 7.89), p = 0.35].

conclusionsThe analysis demonstrated that phase information obtained from gated SPECT MPI is of significant prognostic value in patients with heart dysfunction. It effectively enhances clinical risk models, providing reliable guidance for patient treatment.

Indexed as

Cardiac Resynchronization TherapyHeart FailureMyocardial Perfusion ImagingPredictive Value of TestsVentricular Dysfunction, LeftVentricular Function, LeftAgedCardiac-Gated Single-Photon Emission Computer-Assisted TomographyFemaleHumansMaleMiddle AgedPrognosisRisk AssessmentRisk FactorsGated SPECT MPIHeart failureMechanical dyssynchronyPrognostic analysis

Identifiers

PMID39587523
PMCPMC11590517

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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.