Evidence map›Paper›PMID 38238457›Full record

ArticleScientific reports2024

Central autonomic network and early prognosis in patients with disorders of consciousness.

Francesco Riganello, Martina Vatrano, Maria Daniela Cortese, Paolo Tonin, Andrea Soddu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
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  5. Review
  6. New insights and predictability from in vivo recordings of paroxysmal sympathetic hyperactivity in disorders of consciousness.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2026
    Article
  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

5 authors at 2 institutions in 2 countries.

Francesco RiganelloReseach in Advanced Neurorehabilitation, S. Anna Institute, 88900, Crotone, Italy. f.riganello@isakr.it.
Martina VatranoReseach in Advanced Neurorehabilitation, S. Anna Institute, 88900, Crotone, Italy.
Maria Daniela CorteseReseach in Advanced Neurorehabilitation, S. Anna Institute, 88900, Crotone, Italy.
Paolo ToninReseach in Advanced Neurorehabilitation, S. Anna Institute, 88900, Crotone, Italy.
Andrea SodduPhysics & Astronomy Department and Western Institute for Neuroscience, University of Western Ontario, London, ON, Canada.
Istituto S.Anna Crotone · ITWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The central autonomic network (CAN) plays a crucial role in modulating the autonomic nervous system. Heart rate variability (HRV) is a valuable marker for assessing CAN function in disorders of consciousness (DOC) patients. We used HRV analysis for early prognosis in 58 DOC patients enrolled within ten days of hospitalization. They underwent a five-minute electrocardiogram during baseline and acoustic/visual stimulation. The coma recovery scale-revised (CRS-R) was used to define the patient's consciousness level and categorize the good/bad outcome at three months. The high-frequency Power Spectrum Density and the standard deviation of normal-to-normal peaks in baseline, the sample entropy during the stimulation, and the time from injury features were used in the support vector machine analysis (SVM) for outcome prediction. The SVM predicted the patients' outcome with an accuracy of 96% in the training test and 100% in the validation test, underscoring its potential to provide crucial clinical information about prognosis.

Indexed as

ComaConsciousness DisordersAutonomic Nervous SystemConsciousnessElectrocardiographyHumansPrognosis

Identifiers

PMID38238457
PMCPMC10796939
OpenAlexW4390974297

What OpenQuestion holds

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LicenceCC BY
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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.