Evidence map›Paper›PMID 28251146›Full record

ArticlePsychiatry journal2017

Exploring Complexity of Deliberate Self-Poisoning through Network Analysis.

Leila R Kalankesh, Mostafa Farahbakhsh, Rebecca A Fein, Nazila Moftian, Zahra Nasiry

Abstract read
In one paragraph

Article in Psychiatry journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The burden of intentional self-poisoning on a district-level public Hospital in Cape Town, South Africa.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2018
    Article
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.

Leila R KalankeshTabriz Health Services Management Research Center, Tabriz, Iran; School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.ORCID 0000-0002-4832-3170
Mostafa FarahbakhshTabriz Research Center of Psychiatry and Behavioral Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
Rebecca A FeinLaboratory Informatics Institute, Smyrna, GA, USA; National Alliance of Research Associates Programs (NARAP), Hartford, CT, USA.
Nazila MoftianSchool of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.
Zahra NasirySchool of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this research was to examine the complexity of circumstances that result in deliberate self-poisoning cases. For the purposes of this paper, the cases were patients that presented for care and were admitted to the specialty hospital in Northwest of Iran. The research examined the problems preceding deliberate self-poisoning and the interrelations among them by applying network analysis methods. The network was scored for degrees of centrality and betweenness centrality. Structural analysis of network also was conducted using block modelling. The results showed that family conflicts had the highest score for degree of centrality among women, while the highest score for degree of centrality among men belonged to those dealing with drug addiction. Analysis for degree of betweenness centrality revealed that drug addiction had the highest score among men, whereas the highest score for women on betweenness centrality was related to physical illness. Structural analysis of the network showed differences in role that various problems played in intentional self-poisoning. The findings from this research can be used by public health authorities to create prevention programs that address the problems leading to deliberate self-poisoning.

Identifiers

PMID28251146
PMCPMC5303583

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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.