Evidence map›Paper›PMID 41282340›Full record

ReviewFrontiers in cardiovascular medicine2025

Heart rate variability: a multidimensional perspective from physiological marker to brain-heart axis disorders prediction.

Shujuan Liu, Yunyi Cui, Meihong Chen

Registry-linked trialAbstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07560800 (Effect of Beetroot Juice on Cardiovascular and Autonomic Responses During and After Exercise in Adults With Type 2 Diabetes), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

NCT07560800 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Effect of Beetroot Juice on Cardiovascular and Autonomic Responses During and After Exercise in Adults With Type 2 Diabetes

TypeinterventionalSponsorOxford Brookes UniversityRan2026 to 2026Enrolled20ConditionsType 2 Diabetes Mellitus, Hypertension, Autonomic Nervous System DiseasesArmsBeetroot juice, Nitrate-depleted Beetroot Juice Placebo
3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Trial
  2. Article
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  4. Article
  5. Article
  6. Review
  7. Article
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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.

Shujuan LiuBaoding First Central Hospital, Baoding, Hebei Province, China.
Yunyi CuiDepartment of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, Hebei Medical University & Hebei Key Laboratory of Stomatology & Hebei Clinical Research Center for Oral Diseases, Shijiazhuang, China.
Meihong ChenBaoding First Central Hospital, Baoding, Hebei Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart rate variability (HRV), a non-invasive measure of autonomic nervous system (ANS) activity and homeodynamics, has received much attention in recent years in the study of cardiovascular disease, mental health, and aging. Changes in HRV not only reflect an individual's ability to adapt to changes in the internal and external environment but also correlate with a wide range of pathological states, making it a powerful tool for predicting disease risk and assessing the efficacy of treatment. The aim of this review is to comprehensively analyze the role of HRV in different physiological and pathological contexts and explore its value as a potential biomarker. Initially, we review the basic concepts, measurements, and influencing factors of HRV, followed by an in-depth discussion of the relationship between HRV and cardiovascular disease, epilepsy, depression, aging, and inflammation. Special emphasis is placed on the role of HRV in assessing the health impact of obesity, nutrition, and lifestyle. Additionally, we explore the use of HRV in clinical practice, including its potential in predicting disease, guiding treatment, and evaluating the effects of interventions. Ultimately, we suggest future research directions, including the promise of HRV in individualized medicine and health monitoring. While HRV holds promise as a non-invasive, trans-diagnostic biomarker, current evidence remains preliminary and largely associative. Its clinical utility for personalized medicine or routine risk prediction requires standardized acquisition protocols, external validation, and causal inference studies before implementation into decision-making algorithms. By synthesizing multiple studies through the lens of brain - heart axis (BHA) integrity, we propose that HRV metrics serve as a quantifiable, trans-diagnostic proxy for mapping the measurement, mechanistic, and translational axes of brain - heart dysfunction.

Indexed as

autonomic nervous systemcardiovascular diseaseheart rate variabilitymental healthmixed branchobesityparasympathetic branchsympathetic branch

Identifiers

PMID41282340
PMCPMC12630126

What OpenQuestion holds

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Registered trials

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.