Evidence map›Paper›PMID 26913016›Full record

ArticleFrontiers in psychology2016

Real-Time Monitoring of Non-linear Suicidal Dynamics: Methodology and a Demonstrative Case Report.

Clemens Fartacek, Günter Schiepek, Sabine Kunrath, Reinhold Fartacek, Martin Plöderl

Abstract read
In one paragraph

Article in Frontiers in psychology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  15. Interactions of immediate and long-term action regulation in the course and complications of bipolar disorder.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  16. Therapeutic Chaos.Journal for person-oriented research · 2019
    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.

Clemens FartacekSuicide Prevention Research Program, Paracelsus Medical UniversitySalzburg, Austria; Department of Suicide Prevention, University Clinic of Psychiatry and Psychotherapy, Christian Doppler ClinicSalzburg, Austria; Department of Clinical Psychology, Christian Doppler ClinicSalzburg, Austria; Institute of Synergetics and Psychotherapy Research, Paracelsus Medical UniversitySalzburg, Austria.
Günter SchiepekInstitute of Synergetics and Psychotherapy Research, Paracelsus Medical University Salzburg, Austria.
Sabine KunrathSuicide Prevention Research Program, Paracelsus Medical UniversitySalzburg, Austria; Department of Suicide Prevention, University Clinic of Psychiatry and Psychotherapy, Christian Doppler ClinicSalzburg, Austria.
Reinhold FartacekSuicide Prevention Research Program, Paracelsus Medical UniversitySalzburg, Austria; Department of Suicide Prevention, University Clinic of Psychiatry and Psychotherapy, Christian Doppler ClinicSalzburg, Austria.
Martin PlöderlSuicide Prevention Research Program, Paracelsus Medical UniversitySalzburg, Austria; Department of Suicide Prevention, University Clinic of Psychiatry and Psychotherapy, Christian Doppler ClinicSalzburg, Austria; Department of Clinical Psychology, Christian Doppler ClinicSalzburg, Austria; Institute of Synergetics and Psychotherapy Research, Paracelsus Medical UniversitySalzburg, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, a number of different authors have stressed the usefulness of non-linear dynamic systems approach in suicide research and suicide prevention. This approach applies specific methods of time series analysis and, consequently, it requires a continuous and fine-meshed assessment of the processes under consideration. The technical means for this kind of process assessment and process analysis are now available. This paper outlines how suicidal dynamics can be monitored in high-risk patients by an Internet-based application for continuous self-assessment with integrated tools of non-linear time series analysis: the Synergetic Navigation System. This procedure is illustrated by data from a patient who attempted suicide at the end of a 90-day monitoring period. Additionally, future research topics and clinical applications of a non-linear dynamic systems approach in suicidology are discussed.

Indexed as

critical instabilityearly warning systemnon-linear dynamic systemsreal-time monitoringrisk assessmentsuicide prevention

Identifiers

PMID26913016
PMCPMC4753305

What OpenQuestion holds

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LicenceCC BY
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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.