Evidence map›Paper›PMID 34908942›Full record

ArticleClinical neuropsychiatry2019

Early Signs of Schizophrenia and Autonomic Nervous System Dysregulation: A Literature Review.

Camilla Guccione, Giulia Lanza di Scalea, Marianna Ambrosecchia, Grazia Terrone, Gianluigi Di Cesare, Giuseppe Ducci, Adriano Schimmenti, Vincenzo Caretti

Open access · greenAbstract read
In one paragraph

Article in Clinical neuropsychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

11 citing papers in PubMed, 9 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Camilla GuccioneDepartment of Human Sciences, LUMSA University of Rome.
Giulia Lanza di ScaleaDepartment of Human Sciences, LUMSA University of Rome.
Marianna AmbrosecchiaDepartment of Medicine and Surgery, Unit of Neuroscience, University of Parma.
Grazia TerroneDepartment of Humanities, Literature, and Cultural Heritage, University of Foggia.
Gianluigi Di CesareDepartment of Mental Health, ASL Rome 1.
Giuseppe DucciDepartment of Mental Health, ASL Rome 1.
Adriano SchimmentiFaculty of Human and Social Sciences, UKE - Kore University of Enna.
Vincenzo CarettiDepartment of Human Sciences, LUMSA University of Rome.
Libera Università Maria SS. Assunta · ITOctober University of Modern Sciences and Arts · EGUniversità degli Studi di Enna Kore · ITUniversity of Parma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveRecent research suggests that early signs of schizophrenia can be detected several years before its onset. Evidence suggests that the identification of at-risk individuals before the psychotic onset can significantly improve the course of the disorder. However, instruments employed for the detection of prodromal symptoms are far from being accurate in the prediction of a future transition to psychosis. The aim of the present review is to summarize literature on the early signs of schizophrenia and to identify physiological markers that may aid the identification of the disorder before psychotic transition.

methodThis critical review includes studies published between 1979 and 2018 that were indexed in major databases with the following keywords: schizophrenia, prodromal phase, basic symptoms, autonomic nervous system, heart rate variability.

resultsThe examination of the relevant literature showed that, despite recent progress in the identification of at-risk states, the currently employed instruments do not allow an effective prediction of a future psychotic onset. Also, evidence suggests a significant association between alterations in the autonomic nervous system (ANS) functioning and psychotic disorders. However, literature on the association between ANS functioning and at-risk states for psychosis is still scarce. The addition of physiological risk indicators may represent a step forward in the detection of at-risk individuals.

conclusionsOverall, the present literature review highlights that a future schizophrenic onset cannot be strongly predicted with current available measures. Given the established correlation between schizophrenia and autonomic dysregulation, an investigation of the ANS functioning in individuals who are at increased risk of developing schizophrenia may be particularly useful to improve the quality of the assessment, to identify at an early stage the dysregulated physiological patterns that have been linked with schizophrenia, and therefore to develop tailored interventions. Accordingly, it is crucial that future research investigates the presence of autonomic deficits in individuals at risk for psychosis.

Indexed as

autonomic nervous systembasic symptomsheart rate variabilityprodromal phaseschizophrenia

Identifiers

PMID34908942
PMCPMC8662712
OpenAlexW4206885695

What OpenQuestion holds

Textmetadata
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.