Evidence map›Paper›PMID 41531624›Full record

ReviewCureus2025

Heart Rate Variability as a Predictor of Mortality in Heart Failure: A Systematic Review and Meta-Analysis.

Indresh Yadav, Raja Waqas, Ahmad Mohammad, Usman G Lashari, Mariam Sabra, Abdallah Dwayat, Jaisingh Rajput

Abstract readReview
In one paragraph

Review in Cureus, 2025. 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
–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

2 citing papers in PubMed.

  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.

Indresh YadavInternal Medicine, Zucker School of Medicine at Hofstra/Northwell Health at Vassar Brothers Medical Center, Poughkeepsie, USA.
Raja WaqasRegulatory Sciences and Health Safety, Arizona State University, Tempe, USA.
Ahmad MohammadInternal Medicine, Hurley Medical Center/Michigan State University, Flint, USA.
Usman G LashariMedicine, Brown University, Providence, USA.
Mariam SabraGeneral Medicine, Alexandria University Faculty of Medicine, Alexandria, EGY.
Abdallah DwayatMedicine, Al-Quds University, Jerusalem, PSE.
Jaisingh RajputFamily Medicine, Montgomery Family Medicine Residency Program, Baptist Health, Montgomery, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart rate variability (HRV), a marker of autonomic function, has been proposed as a prognostic tool in heart failure (HF), but evidence remains fragmented. This meta-analysis synthesizes data on HRV's predictive value for mortality in HF. Following PRISMA guidelines, PubMed, Embase, Cochrane, and other databases (2000-2024) were systematically searched for studies assessing HRV and mortality in HF. Ten studies (n = 10,544) were included, and random-effects meta-analyses were conducted. The pooled effect size (ES) for the HRV-mortality association was significant (ES = 1.99, 95% CI: 1.36-2.61, p < 0.001), with time-domain measures (standard deviation of NN intervals (SDNN)) showing the strongest prediction (ES = 1.75, I² = 71.49%). Subgroup analyses revealed consistent effects in heart failure with reduced ejection fraction (HFrEF) (ES = 1.74) and mixed populations (ES = 1.99), though heterogeneity was high (I² = 97.67%). HRV improved risk stratification beyond ejection fraction and New York Heart Association (NYHA) class, particularly for sudden death (hazard ratio (HR): 2.1-3.2). Impaired HRV is a robust mortality predictor in HF, with SDNN being the most reliable parameter. Standardization and HRV-guided therapy trials are needed to enhance clinical utility.

Indexed as

heart failureheart rate variabilitymeta-analysismortalityprognosis

Identifiers

PMID41531624
PMCPMC12794729

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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.